This journal provides a forum for researchers working on extracting useful information from rapidly growing volumes of digital data. It aims to present advances in areas like parallel data mining algorithms, text and multimedia mining, and knowledge discovery frameworks. Authors are invited to submit original papers on topics such as data streams mining, social networks, and statistical techniques for data modeling by March 7th, 2020.
International Journal of Data Mining & Knowledge Management Process ( IJDKP )IJDKP
Data mining and knowledge discovery in databases have been attracting a significant amount of research, industry, and media attention of late. There is an urgent need for a new generation of computational theories and tools to assist researchers in extracting useful information from the rapidly growing volumes of digital data.
This Journal provides a forum for researchers who address this issue and to present their work in a peer-reviewed open access forum. Authors are solicited to contribute to the Journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to these topics only.
International Journal of Data Mining & Knowledge Management Process ( IJDKP )IJDKP
Data mining and knowledge discovery in databases have been attracting a significant amount of research, industry, and media attention of late. There is an urgent need for a new generation of computational theories and tools to assist researchers in extracting useful information from the rapidly growing volumes of digital data.
This Journal provides a forum for researchers who address this issue and to present their work in a peer-reviewed open access forum. Authors are solicited to contribute to the Journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to these topics only.
International Journal of Data Mining & Knowledge Management Process ( IJDKP )IJDKP
Data mining and knowledge discovery in databases have been attracting a significant amount of research, industry, and media attention of late. There is an urgent need for a new generation of computational theories and tools to assist researchers in extracting useful information from the rapidly growing volumes of digital data.
International Journal of Data Mining & Knowledge Management Process ( IJDKP )IJDKP
Data mining and knowledge discovery in databases have been attracting a significant amount of research, industry, and media attention of late. There is an urgent need for a new generation of computational theories and tools to assist researchers in extracting useful information from the rapidly growing volumes of digital data.
International Journal of Data Mining & Knowledge Management Process ( IJDKP )IJDKP
Data mining and knowledge discovery in databases have been attracting a significant amount of research, industry, and media attention of late. There is an urgent need for a new generation of computational theories and tools to assist researchers in extracting useful information from the rapidly growing volumes of digital data
International Journal of Data Mining & Knowledge Management Process ( IJDKP )IJDKP
Data mining and knowledge discovery in databases have been attracting a significant amount of research, industry, and media attention of late. There is an urgent need for a new generation of computational theories and tools to assist researchers in extracting useful information from the rapidly growing volumes of digital data.
International Journal of Data Mining & Knowledge Management Process ( IJDKP )IJDKP
Scope & Topics
Data mining and knowledge discovery in databases have been attracting a significant amount of research, industry, and media attention of late. There is an urgent need for a new generation of computational theories and tools to assist researchers in extracting useful information from the rapidly growing volumes of digital data.
International Journal of Data Mining & Knowledge Management Process ( IJDKP )IJDKP
Data mining and knowledge discovery in databases have been attracting a significant amount of research, industry, and media attention of late. There is an urgent need for a new generation of computational theories and tools to assist researchers in extracting useful information from the rapidly growing volumes of digital data.
International Journal of Data Mining & Knowledge Management Process ( IJDKP )IJDKP
Data mining and knowledge discovery in databases have been attracting a significant amount of research, industry, and media attention of late. There is an urgent need for a new generation of computational theories and tools to assist researchers in extracting useful information from the rapidly growing volumes of digital data.
This Journal provides a forum for researchers who address this issue and to present their work in a peer-reviewed open access forum. Authors are solicited to contribute to the Journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to these topics only.
International Journal of Data Mining & Knowledge Management Process ( IJDKP )IJDKP
Data mining and knowledge discovery in databases have been attracting a significant amount of research, industry, and media attention of late. There is an urgent need for a new generation of computational theories and tools to assist researchers in extracting useful information from the rapidly growing volumes of digital data.
This Journal provides a forum for researchers who address this issue and to present their work in a peer-reviewed open access forum. Authors are solicited to contribute to the Journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to these topics only.
International Journal of Data Mining & Knowledge Management Process ( IJDKP )IJDKP
Data mining and knowledge discovery in databases have been attracting a significant amount of research, industry, and media attention of late. There is an urgent need for a new generation of computational theories and tools to assist researchers in extracting useful information from the rapidly growing volumes of digital data.
International Journal of Data Mining & Knowledge Management Process ( IJDKP )IJDKP
Data mining and knowledge discovery in databases have been attracting a significant amount of research, industry, and media attention of late. There is an urgent need for a new generation of computational theories and tools to assist researchers in extracting useful information from the rapidly growing volumes of digital data.
International Journal of Data Mining & Knowledge Management Process ( IJDKP )IJDKP
Data mining and knowledge discovery in databases have been attracting a significant amount of research, industry, and media attention of late. There is an urgent need for a new generation of computational theories and tools to assist researchers in extracting useful information from the rapidly growing volumes of digital data
International Journal of Data Mining & Knowledge Management Process ( IJDKP )IJDKP
Data mining and knowledge discovery in databases have been attracting a significant amount of research, industry, and media attention of late. There is an urgent need for a new generation of computational theories and tools to assist researchers in extracting useful information from the rapidly growing volumes of digital data.
International Journal of Data Mining & Knowledge Management Process ( IJDKP )IJDKP
Scope & Topics
Data mining and knowledge discovery in databases have been attracting a significant amount of research, industry, and media attention of late. There is an urgent need for a new generation of computational theories and tools to assist researchers in extracting useful information from the rapidly growing volumes of digital data.
International Journal of Data Mining & Knowledge Management Process ( IJDKP )IJDKP
Data mining and knowledge discovery in databases have been attracting a significant amount of research, industry, and media attention of late. There is an urgent need for a new generation of computational theories and tools to assist researchers in extracting useful information from the rapidly growing volumes of digital data.
International Journal of Data Mining & Knowledge Management Process ( IJDKP )IJDKP
Data mining and knowledge discovery in databases have been attracting a significant amount of research, industry, and media attention of late. There is an urgent need for a new generation of computational theories and tools to assist researchers in extracting useful information from the rapidly growing volumes of digital data
International Journal of Data Mining & Knowledge Management Process ( IJDKP )IJDKP
Data mining and knowledge discovery in databases have been attracting a significant amount of research, industry, and media attention of late. There is an urgent need for a new generation of computational theories and tools to assist researchers in extracting useful information from the rapidly growing volumes of digital data.
International Journal of Data Mining & Knowledge Management Process ( IJDKP )IJDKP
Data mining and knowledge discovery in databases have been attracting a significant amount of
research, industry, and media attention of late. There is an urgent need for a new generation of
computational theories and tools to assist researchers in extracting useful information from the
rapidly growing volumes of digital data.
International Journal of Data Mining & Knowledge Management Process ( IJDKP )IJDKP
Data mining and knowledge discovery in databases have been attracting a significant amount of research, industry, and media attention of late. There is an urgent need for a new generation of computational theories and tools to assist researchers in extracting useful information from the rapidly growing volumes of digital data.
International Journal of Data Mining & Knowledge Management Process(IJDKP)albert ca
Data mining and knowledge discovery in databases have been attracting a significant amount of research, industry, and media attention of late. There is an urgent need for a new generation of computational theories and tools to assist researchers in extracting useful information from the rapidly growing volumes of digital data.
International Journal of Data Mining & Knowledge Management Process ( IJDKP )albert ca
Data mining and knowledge discovery in databases have been attracting a significant amount of research, industry, and media attention of late. There is an urgent need for a new generation of computational theories and tools to assist researchers in extracting useful information from the rapidly growing volumes of digital data.
International Journal of Data Mining & Knowledge Management Process ( IJDKP )IJDKP
Data mining and knowledge discovery in databases have been attracting a significant amount of research, industry, and media attention of late. There is an urgent need for a new generation of computational theories and tools to assist researchers in extracting useful information from the rapidly growing volumes of digital data.
International Journal of Data Mining & Knowledge Management Process ( IJDKP )IJDKP
Data mining and knowledge discovery in databases have been attracting a significant amount of research, industry, and media attention of late. There is an urgent need for a new generation of computational theories and tools to assist researchers in extracting useful information from the rapidly growing volumes of digital data.
International Journal of Data Mining & Knowledge Management Process ( IJDKP )albert ca
Data mining and knowledge discovery in databases have been attracting a significant amount of research, industry, and media attention of late. There is an urgent need for a new generation of computational theories and tools to assist researchers in extracting useful information from the rapidly growing volumes of digital data.
This Journal provides a forum for researchers who address this issue and to present their work in a peer-reviewed open access forum. Authors are solicited to contribute to the Journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to these topics only.
International Journal of Data Mining & Knowledge Management Process ( IJDKP )IJDKP
Data mining and knowledge discovery in databases have been attracting a significant amount of research, industry, and
media attention of late. There is an urgent need for a new generation of computational theories and tools to assist
researchers in extracting useful information from the rapidly growing volumes of digital data.
Call for Papers - International Journal of Data Mining & Knowledge Management...IJDKP
Data mining and knowledge discovery in databases have been attracting a significant amount ofresearch, industry, and media attention of late. There is an urgent need for a new generation ofcomputational theories and tools to assist researchers in extracting useful information from therapidly growing volumes of digital data
International Journal of Data Mining & Knowledge Management Process ( IJDKP )IJDKP
Data mining and knowledge discovery in databases have been attracting a significant amount of research, industry, and media attention of late. There is an urgent need for a new generation of computational theories and tools to assist researchers in extracting useful information from the rapidly growing volumes of digital data.
International Journal of Data Mining & Knowledge Management Process ( IJDKP )IJDKP
Data mining and knowledge discovery in databases have been attracting a significant amount of research, industry, and media attention of late. There is an urgent need for a new generation of computational theories and tools to assist researchers in extracting useful information from the rapidly growing volumes of digital data.
This Journal provides a forum for researchers who address this issue and to present their work in a peer-reviewed open access forum. Authors are solicited to contribute to the Journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to these topics only.
International Journal of Data Mining & Knowledge Management Process(IJDKP)albert ca
Data mining and knowledge discovery in databases have been attracting a significant amount of research, industry, and media attention of late. There is an urgent need for a new generation of computational theories and tools to assist researchers in extracting useful information from the rapidly growing volumes of digital data.
International Journal of Data Mining & Knowledge Management Process ( IJDKP )IJDKP
Data mining and knowledge discovery in databases have been attracting a significant amount of research, industry, and media attention of late. There is an urgent need for a new generation of computational theories and tools to assist researchers in extracting useful information from the rapidly growing volumes of digital data.
International Journal of Data Mining & Knowledge Management Process ( IJDKP )IJDKP
.
This Journal provides a forum for researchers who address this issue and to present their work in a peer-reviewed open access forum. Authors are solicited to contribute to the Journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to these topics only.
Topics of interest include, but are not limited to the following
Data mining foundations
Parallel and Distributed Data Mining Algorithms, Data Streams Mining, Graph Mining, Spatial Data Mining, Text video, Multimedia Data Mining, Web Mining,Pre-Processing Techniques, Visualization, Security and Information Hiding in Data Mining
Data mining Applications
Databases, Bioinformatics, Biometrics, Image Analysis, Financial Modeling, Forecasting, Classification, Clustering, Social Networks, Educational Data Mining
Knowledge Processing
Data and Knowledge Representation, Knowledge Discovery Framework and Process, Including Pre- and Post-Processing, Integration of Data Warehousing, OLAP and Data Mining, Integrating Constraints and Knowledge in the KDD Process , Exploring Data Analysis, Inference of Causes, Prediction, Evaluating, Consolidating and Explaining Discovered Knowledge, Statistical Techniques for Generation a Robust, Consistent Data Model, Interactive Data Exploration/Visualization and Discovery, Languages and Interfaces for Data Mining, Mining Trends, Opportunities and Risks, Mining from Low-Quality Information Sources
Important Dates
Submission Deadline : August 23, 2020
Notification : September 23, 2020
Final Manuscript Due : October 01, 2020
Publication Date : Determined by the Editor-in-Chief
Call for Papers
Scope & Topics
Ethics
Archives
Most Cited Articles
Download leaflet
FAQ
ijdkp 10th year logo
Top 10 Cited Papers
From
2011 Volumes
10
Issues
54 Articles
227
Conferences
DMML 2020 - India
DTMN 2020 - Sydney
DMS 2020 - India
DBDM 2020 - Dubai
DMDBS 2020 - India
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International Journal of Data Mining & Knowledge Management Process ( IJDKP )IJDKP
Data mining and knowledge discovery in databases have been attracting a significant amount of research, industry, and media attention of late. There is an urgent need for a new generation of computational theories and tools to assist researchers in extracting useful information from the rapidly growing volumes of digital data.
International Journal of Data Mining & Knowledge Management Process ( IJDKP )IJDKP
Data mining and knowledge discovery in databases have been attracting a significant amount of research, industry, and media attention of late. There is an urgent need for a new generation of computational theories and tools to assist researchers in extracting useful information from the rapidly growing volumes of digital data.
Data Mining & Knowledge Management Process (IJDKP)IJDKP
Data mining and knowledge discovery in databases have been attracting a significant amount of research, industry, and media attention of late. There is an urgent need for a new generation of computational theories and tools to assist researchers in extracting useful information from the rapidly growing volumes of digital data.
International Journal of Data Mining & Knowledge Management Process ( IJDKP )IJDKP
Data mining and knowledge discovery in databases have been attracting a significant amount of research, industry, and media attention of late. There is an urgent need for a new generation of computational theories and tools to assist researchers in extracting useful information from the rapidly growing volumes of digital data.
CALL FOR ARTICLES-International Journal of Data Mining & Knowledge Management...IJDKP
Data mining and knowledge discovery in databases have been attracting a significant amount of research, industry, and media attention of late. There is an urgent need for a new generation of computational theories and tools to assist researchers in extracting useful information from the rapidly growing volumes of digital data.
This Journal provides a forum for researchers who address this issue and to present their work in a peer- reviewed open access forum. Authors are solicited to contribute to the workshop by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to these topics only.
CALL FOR ARTICLES - International Journal of Data Mining & Knowledge Manageme...IJDKP
Data mining and knowledge discovery in databases have been attracting a significant amount of research, industry, and media attention of late. There is an urgent need for a new generation of computational theories and tools to assist researchers in extracting useful information from the rapidly growing volumes of digital data.
International Journal of Data Mining & Knowledge Management Process ( IJDKP )IJDKP
Data mining and knowledge discovery in databases have been attracting a significant amount of research, industry, and media attention of late. There is an urgent need for a new generation of computational theories and tools to assist researchers in extracting useful information from the rapidly growing volumes of digital data
International Journal of Data Mining & Knowledge Management Process ( IJDKP )IJDKP
Data mining and knowledge discovery in databases have been attracting a significant amount of research, industry, and media attention of late. There is an urgent need for a new generation of computational theories and tools to assist researchers in extracting useful information from the rapidly growing volumes of digital data.
International Journal of Data Mining & Knowledge Management Process ( IJDKP )IJDKP
Data mining and knowledge discovery in databases have been attracting a significant amount of
research, industry, and media attention of late. There is an urgent need for a new generation of
computational theories and tools to assist researchers in extracting useful information from the
rapidly growing volumes of digital data.
International Journal of Data Mining & Knowledge Management Process ( IJDKP )IJDKP
Data mining and knowledge discovery in databases have been attracting a significant amount of research, industry, and media attention of late. There is an urgent need for a new generation of computational theories and tools to assist researchers in extracting useful information from the rapidly growing volumes of digital data.
International Journal of Data Mining & Knowledge Management Process(IJDKP)albert ca
Data mining and knowledge discovery in databases have been attracting a significant amount of research, industry, and media attention of late. There is an urgent need for a new generation of computational theories and tools to assist researchers in extracting useful information from the rapidly growing volumes of digital data.
International Journal of Data Mining & Knowledge Management Process ( IJDKP )albert ca
Data mining and knowledge discovery in databases have been attracting a significant amount of research, industry, and media attention of late. There is an urgent need for a new generation of computational theories and tools to assist researchers in extracting useful information from the rapidly growing volumes of digital data.
International Journal of Data Mining & Knowledge Management Process ( IJDKP )IJDKP
Data mining and knowledge discovery in databases have been attracting a significant amount of research, industry, and media attention of late. There is an urgent need for a new generation of computational theories and tools to assist researchers in extracting useful information from the rapidly growing volumes of digital data.
International Journal of Data Mining & Knowledge Management Process ( IJDKP )IJDKP
Data mining and knowledge discovery in databases have been attracting a significant amount of research, industry, and media attention of late. There is an urgent need for a new generation of computational theories and tools to assist researchers in extracting useful information from the rapidly growing volumes of digital data.
International Journal of Data Mining & Knowledge Management Process ( IJDKP )albert ca
Data mining and knowledge discovery in databases have been attracting a significant amount of research, industry, and media attention of late. There is an urgent need for a new generation of computational theories and tools to assist researchers in extracting useful information from the rapidly growing volumes of digital data.
This Journal provides a forum for researchers who address this issue and to present their work in a peer-reviewed open access forum. Authors are solicited to contribute to the Journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to these topics only.
International Journal of Data Mining & Knowledge Management Process ( IJDKP )IJDKP
Data mining and knowledge discovery in databases have been attracting a significant amount of research, industry, and
media attention of late. There is an urgent need for a new generation of computational theories and tools to assist
researchers in extracting useful information from the rapidly growing volumes of digital data.
Call for Papers - International Journal of Data Mining & Knowledge Management...IJDKP
Data mining and knowledge discovery in databases have been attracting a significant amount ofresearch, industry, and media attention of late. There is an urgent need for a new generation ofcomputational theories and tools to assist researchers in extracting useful information from therapidly growing volumes of digital data
International Journal of Data Mining & Knowledge Management Process ( IJDKP )IJDKP
Data mining and knowledge discovery in databases have been attracting a significant amount of research, industry, and media attention of late. There is an urgent need for a new generation of computational theories and tools to assist researchers in extracting useful information from the rapidly growing volumes of digital data.
International Journal of Data Mining & Knowledge Management Process ( IJDKP )IJDKP
Data mining and knowledge discovery in databases have been attracting a significant amount of research, industry, and media attention of late. There is an urgent need for a new generation of computational theories and tools to assist researchers in extracting useful information from the rapidly growing volumes of digital data.
This Journal provides a forum for researchers who address this issue and to present their work in a peer-reviewed open access forum. Authors are solicited to contribute to the Journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to these topics only.
International Journal of Data Mining & Knowledge Management Process(IJDKP)albert ca
Data mining and knowledge discovery in databases have been attracting a significant amount of research, industry, and media attention of late. There is an urgent need for a new generation of computational theories and tools to assist researchers in extracting useful information from the rapidly growing volumes of digital data.
International Journal of Data Mining & Knowledge Management Process ( IJDKP )IJDKP
Data mining and knowledge discovery in databases have been attracting a significant amount of research, industry, and media attention of late. There is an urgent need for a new generation of computational theories and tools to assist researchers in extracting useful information from the rapidly growing volumes of digital data.
International Journal of Data Mining & Knowledge Management Process ( IJDKP )IJDKP
.
This Journal provides a forum for researchers who address this issue and to present their work in a peer-reviewed open access forum. Authors are solicited to contribute to the Journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to these topics only.
Topics of interest include, but are not limited to the following
Data mining foundations
Parallel and Distributed Data Mining Algorithms, Data Streams Mining, Graph Mining, Spatial Data Mining, Text video, Multimedia Data Mining, Web Mining,Pre-Processing Techniques, Visualization, Security and Information Hiding in Data Mining
Data mining Applications
Databases, Bioinformatics, Biometrics, Image Analysis, Financial Modeling, Forecasting, Classification, Clustering, Social Networks, Educational Data Mining
Knowledge Processing
Data and Knowledge Representation, Knowledge Discovery Framework and Process, Including Pre- and Post-Processing, Integration of Data Warehousing, OLAP and Data Mining, Integrating Constraints and Knowledge in the KDD Process , Exploring Data Analysis, Inference of Causes, Prediction, Evaluating, Consolidating and Explaining Discovered Knowledge, Statistical Techniques for Generation a Robust, Consistent Data Model, Interactive Data Exploration/Visualization and Discovery, Languages and Interfaces for Data Mining, Mining Trends, Opportunities and Risks, Mining from Low-Quality Information Sources
Important Dates
Submission Deadline : August 23, 2020
Notification : September 23, 2020
Final Manuscript Due : October 01, 2020
Publication Date : Determined by the Editor-in-Chief
Call for Papers
Scope & Topics
Ethics
Archives
Most Cited Articles
Download leaflet
FAQ
ijdkp 10th year logo
Top 10 Cited Papers
From
2011 Volumes
10
Issues
54 Articles
227
Conferences
DMML 2020 - India
DTMN 2020 - Sydney
DMS 2020 - India
DBDM 2020 - Dubai
DMDBS 2020 - India
Courtesy
Smiley face
International Journal of Data Mining & Knowledge Management Process ( IJDKP )IJDKP
Data mining and knowledge discovery in databases have been attracting a significant amount of research, industry, and media attention of late. There is an urgent need for a new generation of computational theories and tools to assist researchers in extracting useful information from the rapidly growing volumes of digital data.
International Journal of Data Mining & Knowledge Management Process ( IJDKP )IJDKP
Data mining and knowledge discovery in databases have been attracting a significant amount of research, industry, and media attention of late. There is an urgent need for a new generation of computational theories and tools to assist researchers in extracting useful information from the rapidly growing volumes of digital data.
Data Mining & Knowledge Management Process (IJDKP)IJDKP
Data mining and knowledge discovery in databases have been attracting a significant amount of research, industry, and media attention of late. There is an urgent need for a new generation of computational theories and tools to assist researchers in extracting useful information from the rapidly growing volumes of digital data.
International Journal of Data Mining & Knowledge Management Process ( IJDKP )IJDKP
Data mining and knowledge discovery in databases have been attracting a significant amount of research, industry, and media attention of late. There is an urgent need for a new generation of computational theories and tools to assist researchers in extracting useful information from the rapidly growing volumes of digital data.
CALL FOR ARTICLES-International Journal of Data Mining & Knowledge Management...IJDKP
Data mining and knowledge discovery in databases have been attracting a significant amount of research, industry, and media attention of late. There is an urgent need for a new generation of computational theories and tools to assist researchers in extracting useful information from the rapidly growing volumes of digital data.
This Journal provides a forum for researchers who address this issue and to present their work in a peer- reviewed open access forum. Authors are solicited to contribute to the workshop by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to these topics only.
CALL FOR ARTICLES - International Journal of Data Mining & Knowledge Manageme...IJDKP
Data mining and knowledge discovery in databases have been attracting a significant amount of research, industry, and media attention of late. There is an urgent need for a new generation of computational theories and tools to assist researchers in extracting useful information from the rapidly growing volumes of digital data.
International Journal of Data Mining & Knowledge Management Process ( IJDKP )IJDKP
Data mining and knowledge discovery in databases have been attracting a significant amount of research, industry, and media attention of late. There is an urgent need for a new generation of computational theories and tools to assist researchers in extracting useful information from the rapidly growing volumes of digital data.
This Journal provides a forum for researchers who address this issue and to present their work in a peer-reviewed open access forum. Authors are solicited to contribute to the Journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to these topics only.
International Journal of Data Mining & Knowledge Management Process (IJDKP)IJDKP
Data mining and knowledge discovery in databases have been attracting a significant amount of research, industry, and media attention of late. There is an urgent need for a new generation of computational theories and tools to assist researchers in extracting useful information from the rapidly growing volumes of digital data.
This Journal provides a forum for researchers who address this issue and to present their work in a peer-reviewed open access forum. Authors are solicited to contribute to the Journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to these topics only.
SUBMIT YOUR PAPERS - International Journal of Data Mining & Knowledge Managem...IJDKP
Paper submission
Authors are invited to submit papers for this journal through e-mail ijdkpjournal@yahoo.com or ijdkpjournal@airccse.org. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this Journal.
Important Dates
• Submission Deadline : June 04,2023
• Authors Notification : July 03, 2023
• Registration & Camera-Ready Paper Due : July 11, 2023
• Publication Date: Determined by the Editor-in-Chief
For other details please visit :
http://airccse.org/journal/ijdkp/ijdkp.html
Contact Us:
Here's where you can reach us
ijdkpjournal@yahoo.com or ijdkpjournal@airccse.org or ijdkp@aircconline.com
Submission Link: https://airccse.com/submissioncs/home.html
Visit Our Other Journal
https://airccse.org/journal/ijwest/ijwest.html
SUBMIT YOUR RESEARCH PAPERS - International Journal of Data Mining & Knowledg...IJDKP
Paper submission
Authors are invited to submit papers for this journal through e-mail ijdkpjournal@yahoo.com or ijdkpjournal@airccse.org. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this Journal.
Important Dates
• Submission Deadline : May 27,2023
• Authors Notification : June 27, 2023
• Registration & Camera-Ready Paper Due : July 04, 2023
• Publication Date: Determined by the Editor-in-Chief
For other details please visit :
http://airccse.org/journal/ijdkp/ijdkp.html
Contact Us:
Here's where you can reach us
ijdkpjournal@yahoo.com or ijdkpjournal@airccse.org or ijdkp@aircconline.com
Submission Link:
https://airccse.com/submissioncs/home.html
Visit Our Other Journal
https://airccse.org/journal/ijwest/ijwest.html
ARTICLE SUBMISSION-International Journal of Data Mining & Knowledge Managemen...IJDKP
Data mining and knowledge discovery in databases have been attracting a significant amount of research, industry, and media attention of late. There is an urgent need for a new generation of computational theories and tools to assist researchers in extracting useful information from the rapidly growing volumes of digital data.
Data mining and knowledge discovery in databases have been attracting a significant amount of research, industry, and media attention of late. There is an urgent need for a new generation of computational theories and tools to assist researchers in extracting useful information from the rapidly growing volumes of digital data.
WJCI INDEXED JOURNAL-International Journal of Data Mining & Knowledge Managem...IJDKP
Paper submission
Authors are invited to submit papers for this journal through e-mail ijdkpjournal@yahoo.com or ijdkpjournal@airccse.org. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this Journal.
Important Dates
• Submission Deadline : June 10,2023
• Authors Notification : July 10, 2023
• Registration & Camera-Ready Paper Due : July 17, 2023
• Publication Date: Determined by the Editor-in-Chief
For other details please visit :
http://airccse.org/journal/ijdkp/ijdkp.html
Contact Us:
Here's where you can reach us
ijdkpjournal@yahoo.com or ijdkpjournal@airccse.org or ijdkp@aircconline.com
Submission Link: https://airccse.com/submissioncs/home.html
Visit Our Other Journal
https://airccse.org/journal/ijwest/ijwest.html
PAPER SUBMISSION-International Journal of Data Mining & Knowledge Management ...IJDKP
International Journal of Data Mining & Knowledge Management Process (IJDKP)
*******WJCI Indexed******
ISSN: 2230 - 9608[Online]; 2231 - 007X [Print]
http://airccse.org/journal/ijdkp/ijdkp.html
Call for Papers
Paper submission
Authors are invited to submit papers for this journal through e-mail ijdkpjournal@yahoo.com or ijdkpjournal@airccse.org. Submissions must be original and should not have been published previously orbe under consideration for publication while being evaluated for this Journal.
For other details please visit :
http://airccse.org/journal/ijdkp/ijdkp.html
Contact Us:
Here's where you can reach us
ijdkpjournal@yahoo.com or ijdkpjournal@airccse.org or ijdkp@aircconline.com
Submission Link: https://airccse.com/submissioncs/home.html
International Journal of Data Mining & Knowledge Management Process (IJDKP)IJDKP
Data mining and knowledge discovery in databases have been attracting a significant amount of research, industry, and media attention of late. There is an urgent need for a new generation of computational theories and tools to assist researchers in extracting useful information from the rapidly growing volumes of digital data.
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Welcome to WIPAC Monthly the magazine brought to you by the LinkedIn Group Water Industry Process Automation & Control.
In this month's edition, along with this month's industry news to celebrate the 13 years since the group was created we have articles including
A case study of the used of Advanced Process Control at the Wastewater Treatment works at Lleida in Spain
A look back on an article on smart wastewater networks in order to see how the industry has measured up in the interim around the adoption of Digital Transformation in the Water Industry.
About
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
Technical Specifications
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
Key Features
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface
• Compatible with MAFI CCR system
• Copatiable with IDM8000 CCR
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
Application
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)MdTanvirMahtab2
This presentation is about the working procedure of Shahjalal Fertilizer Company Limited (SFCL). A Govt. owned Company of Bangladesh Chemical Industries Corporation under Ministry of Industries.
Saudi Arabia stands as a titan in the global energy landscape, renowned for its abundant oil and gas resources. It's the largest exporter of petroleum and holds some of the world's most significant reserves. Let's delve into the top 10 oil and gas projects shaping Saudi Arabia's energy future in 2024.
CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptxR&R Consult
CFD analysis is incredibly effective at solving mysteries and improving the performance of complex systems!
Here's a great example: At a large natural gas-fired power plant, where they use waste heat to generate steam and energy, they were puzzled that their boiler wasn't producing as much steam as expected.
R&R and Tetra Engineering Group Inc. were asked to solve the issue with reduced steam production.
An inspection had shown that a significant amount of hot flue gas was bypassing the boiler tubes, where the heat was supposed to be transferred.
R&R Consult conducted a CFD analysis, which revealed that 6.3% of the flue gas was bypassing the boiler tubes without transferring heat. The analysis also showed that the flue gas was instead being directed along the sides of the boiler and between the modules that were supposed to capture the heat. This was the cause of the reduced performance.
Based on our results, Tetra Engineering installed covering plates to reduce the bypass flow. This improved the boiler's performance and increased electricity production.
It is always satisfying when we can help solve complex challenges like this. Do your systems also need a check-up or optimization? Give us a call!
Work done in cooperation with James Malloy and David Moelling from Tetra Engineering.
More examples of our work https://www.r-r-consult.dk/en/cases-en/
Student information management system project report ii.pdfKamal Acharya
Our project explains about the student management. This project mainly explains the various actions related to student details. This project shows some ease in adding, editing and deleting the student details. It also provides a less time consuming process for viewing, adding, editing and deleting the marks of the students.
Student information management system project report ii.pdf
International Journal of Data Mining & Knowledge Management Process ( IJDKP )
1. Data mining and knowledge discovery in databases have been attracting a
significant amount of research, industry, and media attention of late. There is an
urgent need for a new generation of computational theories and tools to assist
researchers in extracting useful information from the rapidly growing volumes of
digital data.
This Journal provides a forum for researchers who address this issue and to
present their work in a peer-reviewed open access forum. Authors are solicited to
contribute to the Journal by submitting articles that illustrate research results,
projects, surveying works and industrial experiences that describe significant
advances in the following areas, but are not limited to these topics only.
2. Parallel and Distributed Data Mining Algorithms, Data Streams Mining, Graph
Mining, Spatial Data Mining, Text video, Multimedia Data Mining, Web Mining,Pre-
Processing Techniques, Visualization, Security and Information Hiding in Data
Mining
Databases, Bioinformatics, Biometrics, Image Analysis, Financial Modeling,
Forecasting, Classification, Clustering, Social Networks, Educational Data Mining
3. Data and Knowledge Representation, Knowledge Discovery Framework and Process,
Including Pre- and Post-Processing, Integration of Data Warehousing, OLAP and Data
Mining, Integrating Constraints and Knowledge in the KDD Process , Exploring Data
Analysis, Inference of Causes, Prediction, Evaluating, Consolidating and Explaining
Discovered Knowledge, Statistical Techniques for Generation a Robust, Consistent
Data Model, Interactive Data Exploration/Visualization and Discovery, Languages and
Interfaces for Data Mining, Mining Trends, Opportunities and Risks, Mining from
Low-Quality Information Sources
4. Authors are invited to submit papers for this journal
through Email: ijdkpjournal@airccse.org or through Submission System.
Submissions must be original and should not have been published
previously or be under consideration for publication while being evaluated
for this Journal. For paper format download the template in this page
5. Submission Deadline : March 07, 2020
Notification : April 07, 2020
Final Manuscript Due : April 15, 2020
Publication Date : Determined by the Editor-in-Chief
For other details please visit
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