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For further details contact: N.RAJASEKARAN B.E M.S 9841091117,9840103301. IMPULSE TECHNOLOGIES, Old No 251, New No 304, 2nd Floor, Arcot road , Vadapalani , Chennai-26. www.impulse.net.in Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
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A reconstruction error based framework for multi label and multi-view learning
A reconstruction error based framework for multi label and multi-view learning
+91-9994232214,8144199666, ieeeprojectchennai@gmail.com,
www.projectsieee.com, www.ieee-projects-chennai.com
IEEE PROJECTS 2015-2016
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Softronics head the group of companies forwarding Website Designing, embedded product development and Android app development delivering services at multiple locations with Corporate office located in Palakkad, Coimbatore and R&D located in Calicut. We are providing detailed IEEE and non IEEE based project guidance support for MTech, MSc, MCA, BTech, BCA, BSc students. We are Pioneers in all leading technologies like Android, Java, .NET, PHP, Python, Embedded Systems, Matlab, NS2 etc. We are specializiling in technologies like Big Data, Cloud Computing, Internet Of Things (iOT), Data Mining, Networking, Information Security, Image Processing and many other. we also provide professional certifications course & Internship in those technologies. We ensure 100% placement assistance for the students doing their internship or certification course from our company.
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IEEE PROJECTS 2015-2016
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Contact:+91-9994232214,+91-8144199666
Email:ieeeprojectchennai@gmail.com
Support:
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Projects Code
Documentation
PPT
Projects Video File
Projects Explanation
Teamviewer Support
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Softronics head the group of companies forwarding Website Designing, embedded product development and Android app development delivering services at multiple locations with Corporate office located in Palakkad, Coimbatore and R&D located in Calicut. We are providing detailed IEEE and non IEEE based project guidance support for MTech, MSc, MCA, BTech, BCA, BSc students. We are Pioneers in all leading technologies like Android, Java, .NET, PHP, Python, Embedded Systems, Matlab, NS2 etc. We are specializiling in technologies like Big Data, Cloud Computing, Internet Of Things (iOT), Data Mining, Networking, Information Security, Image Processing and many other. we also provide professional certifications course & Internship in those technologies. We ensure 100% placement assistance for the students doing their internship or certification course from our company.
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collected data set, over a 60% for train and remaining
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research is included and in section II, problem statement.
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TO GET THIS PROJECT THROUGH ONLINE OR TRAINING SESSION CONTACT:
LansA Informatics Pvt Ltd
No 165, 5th Street,
Crosscut road, Gandhipuram,
Coimbatore - 641 012
Landline: 0422 - 4204373
Mobile: +91 90 953 953 33
Email :lansa.projects@gmail.com
Website: www.lansainformatics.com
Blog: www.lansastudentscdc.blogspot.com
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Wireless mesh networks allow nodes to communicate directly with each other. However, implementing mesh networks in practice is challenging due to heterogeneity and the large number of users in cities requiring automatic organization. This thesis investigates using principles from the human immune system and pheromone signaling to address problems with routing, channel assignment, and quality of service in mesh networks. Specifically, it proposes adapting mate selection mechanisms between animals to network interconnection and models this using genetic algorithms and simulations in MATLAB.
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International Journal of Engineering Research and Applications (IJERA) is a team of researchers not publication services or private publications running the journals for monetary benefits, we are association of scientists and academia who focus only on supporting authors who want to publish their work. The articles published in our journal can be accessed online, all the articles will be archived for real time access.
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NEXGEN TECHNOLOGY provides total software solutions to its customers. Apsys works closely with the customers to identify their business processes for computerization and help them implement state-of-the-art solutions. By identifying and enhancing their processes through information technology solutions. NEXGEN TECHNOLOGY help it customers optimally use their resources.
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Time is an critical factor today in tracking Data Replica Detection for large data sets, without having impact over quality
of Dataset. In this we primarily introduce two Data Replica Detection algorithms , where in these contribute enhanced
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Very few research works have been done on XML security over relational databases despite that XML
became the de facto standard for the data representation and exchange on the internet and a lot of XML
documents are stored in RDBMS. In [14], the author proposed an access control model for schema-based
storage of XML documents in relational storage and translating XML access control rules to relational
access control rules. However, the proposed algorithms had performance drawbacks. In this paper, we will
use the same access control model of [14] and try to overcome the drawbacks of [14] by proposing an
efficient technique to store the XML access control rules in a relational storage of XML DTD. The mapping
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2
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
2
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
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This document discusses techniques for analyzing unstructured text data from computer data inspection. It discusses using clustering algorithms like K-means and hierarchical clustering to automatically group related documents without supervision. The goal is to help computer examiners analyze large amounts of text data more efficiently. Prior work on clustering ensembles, evolving gene expression clusters, self-organizing maps, and thematically clustering search results is reviewed as relevant to this problem. The problem is how to identify and cluster documents stored across multiple remote locations during computer inspections when existing algorithms make this difficult.
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TO GET THIS PROJECT THROUGH ONLINE OR TRAINING SESSION CONTACT:
LansA Informatics Pvt Ltd
No 165, 5th Street,
Crosscut road, Gandhipuram,
Coimbatore - 641 012
Landline: 0422 - 4204373
Mobile: +91 90 953 953 33
Email :lansa.projects@gmail.com
Website: www.lansainformatics.com
Blog: www.lansastudentscdc.blogspot.com
Master Thesis Abstract
Wireless mesh networks allow nodes to communicate directly with each other. However, implementing mesh networks in practice is challenging due to heterogeneity and the large number of users in cities requiring automatic organization. This thesis investigates using principles from the human immune system and pheromone signaling to address problems with routing, channel assignment, and quality of service in mesh networks. Specifically, it proposes adapting mate selection mechanisms between animals to network interconnection and models this using genetic algorithms and simulations in MATLAB.
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MULTILABEL CLASSIFICATION VIA CO-EVOLUTIONARY MULTILABEL HYPERNETWORK
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MOBILE: 9791938249, 0413-2211159, WEB: WWW.NEXGENPROJECT.COM,WWW.FINALYEAR-IEEEPROJECTS.COM, EMAIL:Praveen@nexgenproject.com
NEXGEN TECHNOLOGY provides total software solutions to its customers. Apsys works closely with the customers to identify their business processes for computerization and help them implement state-of-the-art solutions. By identifying and enhancing their processes through information technology solutions. NEXGEN TECHNOLOGY help it customers optimally use their resources.
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Very few research works have been done on XML security over relational databases despite that XML
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documents are stored in RDBMS. In [14], the author proposed an access control model for schema-based
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2
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
2
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
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Ecway Technologies provides IEEE projects, software developments, and related services with offices in multiple cities across Tamil Nadu, India. They can be contacted via phone, website, or email.
The document is an abstract for a research paper that proposes a new method for combining multiple supervised and unsupervised models in an ensemble learning approach. The method aims to maximize consensus among supervised predictions and unsupervised constraints by casting it as an optimization problem on a bipartite graph. The objective function favors smooth predictions over the graph while penalizing deviations from initial supervised labels. Experimental results demonstrate benefits over existing alternatives on applications with heterogeneous data sources.
A graph based consensus maximization approach for combining multiple supervis...
Ecway Technologies provides IEEE projects, software developments, and related services with offices in multiple cities across Tamil Nadu, India. They can be contacted via phone, website, or email.
The document is an abstract for a research paper that proposes a new method for combining multiple supervised and unsupervised models in an ensemble learning approach. The method aims to maximize consensus among supervised predictions and unsupervised constraints by casting it as an optimization problem on a bipartite graph. The objective function favors smooth predictions over the graph while penalizing deviations from initial supervised labels. Experimental results demonstrate benefits over existing alternatives on applications with heterogeneous data sources.
A graph based consensus maximization approach for combining multiple supervis...
Ecway Technologies provides IEEE projects, software developments, and related services with offices in multiple cities across Tamil Nadu, India. They can be contacted via phone, website, or email.
The document is an abstract for a research paper that proposes a new method for combining multiple supervised and unsupervised models in an ensemble learning approach. The method aims to maximize consensus among supervised predictions and unsupervised constraints by casting it as an optimization problem on a bipartite graph. The objective function favors smooth predictions over the graph while penalizing deviations from initial supervised labels. Experimental results demonstrate benefits over existing alternatives on applications with heterogeneous data sources.
A graph based consensus maximization approach for combining multiple supervis...
Ecway Technologies provides IEEE projects, software developments, and related services with offices in multiple cities across Tamil Nadu, India. They can be contacted via phone, website, or email.
A paper is summarized that proposes a graph-based consensus maximization approach for combining multiple supervised and unsupervised models in an ensemble learning method. The approach casts the ensemble task as an optimization problem on a bipartite graph to consolidate predictions by maximizing consensus between supervised predictions and unsupervised constraints. Experimental results on applications with heterogeneous data sources demonstrate benefits over existing alternatives.
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Ecway Technologies provides IEEE projects, software developments, and related services with offices in multiple cities across Tamil Nadu, India. They can be contacted via phone, website, or email.
A paper is summarized that proposes a graph-based consensus maximization approach for combining multiple supervised and unsupervised models in an ensemble learning method. The approach casts the ensemble task as an optimization problem on a bipartite graph to consolidate predictions by maximizing consensus between supervised predictions and unsupervised constraints. Experimental results demonstrate benefits over existing alternatives on applications with heterogeneous data sources.
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Ecway Technologies provides IEEE projects, software developments, and related services with offices in multiple cities across Tamil Nadu, India. They can be contacted via phone, website, or email.
A paper is summarized that proposes a graph-based consensus maximization approach for combining multiple supervised and unsupervised models in an ensemble learning method. The approach casts the ensemble task as an optimization problem on a bipartite graph to consolidate predictions by maximizing consensus between supervised predictions and unsupervised constraints. Experimental results demonstrate benefits over existing alternatives on applications with heterogeneous data sources.
A graph based consensus maximization approach for combining multiple supervis...
Ecway Technologies provides IEEE projects, software developments, and related services with offices in multiple cities across Tamil Nadu, India. They can be contacted via phone, website, or email.
A paper is summarized that proposes a graph-based consensus maximization approach for combining multiple supervised and unsupervised models in an ensemble learning method. The approach casts the ensemble task as an optimization problem on a bipartite graph to consolidate predictions by maximizing consensus between supervised predictions and unsupervised constraints. Experimental results demonstrate benefits over existing alternatives on applications with heterogeneous data sources.
A graph based consensus maximization approach for combining multiple supervis...
Ecway Technologies provides IEEE projects, software developments, and related services with offices in multiple cities across Tamil Nadu, India. They can be contacted via phone, website, or email.
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For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
17
This document discusses efficient rendezvous algorithms for wireless sensor networks with mobile base stations. It proposes an approach where select sensor nodes act as rendezvous points, buffering and aggregating data from other sensors. These rendezvous points then transfer the collected data to the base station when it arrives, combining the advantages of controlled mobility and in-network caching. Algorithms are presented for rendezvous design with mobile base stations having variable or fixed tracks. Both theoretical analysis and simulations validate that this approach can achieve a good balance between energy savings and reduced data collection latency in the network.
16
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
15
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
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Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
25
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
23
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
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For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
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www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
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For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
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www.impulse.net.in
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For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
19
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
18
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
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This document discusses preventing private information inference attacks on social networks. It explores how released social networking data could be used to predict undisclosed private information about individuals, such as their political affiliation or sexual orientation. It then describes three sanitization techniques that could be used to decrease the effectiveness of such attacks. An experiment is conducted applying these techniques to a Facebook dataset to attempt to discover sensitive attributes through collective inference and show that the sanitization methods decrease the effectiveness of local and relational classification algorithms.
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For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
15
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
14
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
13
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
12
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
11
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
10
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
9
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
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- 1. Impulse Technologies Beacons U to World of technology ๏จ044-42133143, 98401 03301,9841091117 ieeeprojects@yahoo.com www.impulse.net.in Efficient and Effective Duplicate Detection in Hierarchical Data Abstract Although there is a long line of work on identifying duplicates in relational data, only a few solutions focus on duplicate detection in more complex hierarchical structures, like XML data. In this paper, we present a novel method for XML duplicate detection, called XMLDup. XMLDup uses a Bayesian network to determine the probability of two XML elements being duplicates, considering not only the information within the elements, but also the way that information is structured. In addition, to improve the efficiency of the network evaluation, a novel pruning strategy, capable of significant gains over the unoptimized version of the algorithm, is presented. Through experiments, we show that our algorithm is able to achieve high precision and recall scores in several datasets. XMLDup is also able to outperform another state of the art duplicate detection solution, both in terms of efficiency and of effectiveness. Finally, we also study how important the structure of elements is in the duplicate detection process. We observe that, not only structure can clearly influence the outcome, but also that, by ensuring a structure that is adequate to the characteristics of the data, we can actually improve the quality of the results. Your Own Ideas or Any project from any company can be Implemented at Better price (All Projects can be done in Java or DotNet whichever the student wants) 1