This document summarizes research on multi-stage smart deep web crawling systems. It discusses challenges in efficiently locating deep web interfaces due to their large numbers and dynamic nature. It proposes a three-stage crawling framework to address these challenges. The first stage performs site-based searching to prioritize relevant sites. The second stage explores sites to efficiently search for forms. An adaptive learning algorithm selects features and constructs link rankers to prioritize relevant links for fast searching. Evaluation on real web data showed the framework achieves substantially higher harvest rates than existing approaches.
Implemenation of Enhancing Information Retrieval Using Integration of Invisib...iosrjce
IOSR Journal of Computer Engineering (IOSR-JCE) is a double blind peer reviewed International Journal that provides rapid publication (within a month) of articles in all areas of computer engineering and its applications. The journal welcomes publications of high quality papers on theoretical developments and practical applications in computer technology. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
Abstract: As profound web developer at quick pace, there has been expanded enthusiasm for method that assists proficiently with finding profound web interfaces. Nonetheless, because of the extensive volume of web assets and the dynamic way of profound web, accomplishing wide scope and high productivity is a testing issue. We propose a two-stage structure, in particular Smart Crawler, for effective gathering profound web interfaces. In the first stage, Smart Crawler performs site-based hunting down focus pages with the assistance of web indexes, abstaining from going by countless. To accomplish more exact results for an engaged slither, Smart Crawler positions sites to organize profoundly pertinent ones for a given point. In the second stage, Smart Crawler accomplishes quick in-site excavating so as to see most significant connections with a versatile connection positioning. To dispense with inclination on going by some exceedingly significant connections in shrouded web indexes, we outline a connection tree information structure to accomplish more extensive scope for a site. Our test results on an arrangement of delegate areas demonstrate the readiness and precision of our proposed crawler structure, which effectively recovers profound web interfaces from huge scale destinations and accomplishes higher harvest rates than different crawlers.
International Journal of Engineering Research and Development (IJERD)IJERD Editor
call for paper 2012, hard copy of journal, research paper publishing, where to publish research paper,
journal publishing, how to publish research paper, Call For research paper, international journal, publishing a paper, IJERD, journal of science and technology, how to get a research paper published, publishing a paper, publishing of journal, publishing of research paper, reserach and review articles, IJERD Journal, How to publish your research paper, publish research paper, open access engineering journal, Engineering journal, Mathemetics journal, Physics journal, Chemistry journal, Computer Engineering, Computer Science journal, how to submit your paper, peer reviw journal, indexed journal, reserach and review articles, engineering journal, www.ijerd.com, research journals,
yahoo journals, bing journals, International Journal of Engineering Research and Development, google journals, hard copy of journal
DESIGN AND IMPLEMENTATION OF CARPOOL DATA ACQUISITION PROGRAM BASED ON WEB CR...ijmech
Now the public traffics make the life more and more convenient. The amount of vehicles in large or medium
sized cities is also in the rapid growth. In order to take full advantage of social resources and protect the
environment, regional end-to-end public transport services are established by analyzing online travel data.
The usage of computer programs for processing of the web page is necessary for accessing to a large
number of the carpool data. In the paper, web crawlers are designed to capture the travel data from
several large service sites. In order to maximize the access to traffic data, a breadth-first algorithm is used.
The carpool data will be saved in a structured form. Additionally, the paper has provided a convenient
method of data collecting to the program.
`A Survey on approaches of Web Mining in Varied Areasinventionjournals
There has been lot of research in recent years for efficient web searching. Several papers have proposed algorithm for user feedback sessions, to evaluate the performance of inferring user search goals. When the information is retrieved, user clicks on a particular URL. Based on the click rate, ranking will be done automatically, clustering the feedback sessions. Web search engines have made enormous contributions to the web and society. They make finding information on the web quick and easy. However, they are far from optimal. A major deficiency of generic search engines is that they follow the ‘‘one size fits all’’ model and are not adaptable to individual users.
Implemenation of Enhancing Information Retrieval Using Integration of Invisib...iosrjce
IOSR Journal of Computer Engineering (IOSR-JCE) is a double blind peer reviewed International Journal that provides rapid publication (within a month) of articles in all areas of computer engineering and its applications. The journal welcomes publications of high quality papers on theoretical developments and practical applications in computer technology. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
Abstract: As profound web developer at quick pace, there has been expanded enthusiasm for method that assists proficiently with finding profound web interfaces. Nonetheless, because of the extensive volume of web assets and the dynamic way of profound web, accomplishing wide scope and high productivity is a testing issue. We propose a two-stage structure, in particular Smart Crawler, for effective gathering profound web interfaces. In the first stage, Smart Crawler performs site-based hunting down focus pages with the assistance of web indexes, abstaining from going by countless. To accomplish more exact results for an engaged slither, Smart Crawler positions sites to organize profoundly pertinent ones for a given point. In the second stage, Smart Crawler accomplishes quick in-site excavating so as to see most significant connections with a versatile connection positioning. To dispense with inclination on going by some exceedingly significant connections in shrouded web indexes, we outline a connection tree information structure to accomplish more extensive scope for a site. Our test results on an arrangement of delegate areas demonstrate the readiness and precision of our proposed crawler structure, which effectively recovers profound web interfaces from huge scale destinations and accomplishes higher harvest rates than different crawlers.
International Journal of Engineering Research and Development (IJERD)IJERD Editor
call for paper 2012, hard copy of journal, research paper publishing, where to publish research paper,
journal publishing, how to publish research paper, Call For research paper, international journal, publishing a paper, IJERD, journal of science and technology, how to get a research paper published, publishing a paper, publishing of journal, publishing of research paper, reserach and review articles, IJERD Journal, How to publish your research paper, publish research paper, open access engineering journal, Engineering journal, Mathemetics journal, Physics journal, Chemistry journal, Computer Engineering, Computer Science journal, how to submit your paper, peer reviw journal, indexed journal, reserach and review articles, engineering journal, www.ijerd.com, research journals,
yahoo journals, bing journals, International Journal of Engineering Research and Development, google journals, hard copy of journal
DESIGN AND IMPLEMENTATION OF CARPOOL DATA ACQUISITION PROGRAM BASED ON WEB CR...ijmech
Now the public traffics make the life more and more convenient. The amount of vehicles in large or medium
sized cities is also in the rapid growth. In order to take full advantage of social resources and protect the
environment, regional end-to-end public transport services are established by analyzing online travel data.
The usage of computer programs for processing of the web page is necessary for accessing to a large
number of the carpool data. In the paper, web crawlers are designed to capture the travel data from
several large service sites. In order to maximize the access to traffic data, a breadth-first algorithm is used.
The carpool data will be saved in a structured form. Additionally, the paper has provided a convenient
method of data collecting to the program.
`A Survey on approaches of Web Mining in Varied Areasinventionjournals
There has been lot of research in recent years for efficient web searching. Several papers have proposed algorithm for user feedback sessions, to evaluate the performance of inferring user search goals. When the information is retrieved, user clicks on a particular URL. Based on the click rate, ranking will be done automatically, clustering the feedback sessions. Web search engines have made enormous contributions to the web and society. They make finding information on the web quick and easy. However, they are far from optimal. A major deficiency of generic search engines is that they follow the ‘‘one size fits all’’ model and are not adaptable to individual users.
A Novel Data Extraction and Alignment Method for Web DatabasesIJMER
International Journal of Modern Engineering Research (IJMER) is Peer reviewed, online Journal. It serves as an international archival forum of scholarly research related to engineering and science education.
International Journal of Modern Engineering Research (IJMER) covers all the fields of engineering and science: Electrical Engineering, Mechanical Engineering, Civil Engineering, Chemical Engineering, Computer Engineering, Agricultural Engineering, Aerospace Engineering, Thermodynamics, Structural Engineering, Control Engineering, Robotics, Mechatronics, Fluid Mechanics, Nanotechnology, Simulators, Web-based Learning, Remote Laboratories, Engineering Design Methods, Education Research, Students' Satisfaction and Motivation, Global Projects, and Assessment…. And many more.
COST-SENSITIVE TOPICAL DATA ACQUISITION FROM THE WEBIJDKP
The cost of acquiring training data instances for induction of data mining models is one of the main concerns in real-world problems. The web is a comprehensive source for many types of data which can be used for data mining tasks. But the distributed and dynamic nature of web dictates the use of solutions which can handle these characteristics. In this paper, we introduce an automatic method for topical data acquisition from the web. We propose a new type of topical crawlers that use a hybrid link context extraction method for topical crawling to acquire on-topic web pages with minimum bandwidth usage and with the lowest cost. The new link context extraction method which is called Block Text Window (BTW), combines a text window method with a block-based method and overcomes challenges of each of these methods using the advantages of the other one. Experimental results show the predominance of BTW in comparison with state of the art automatic topical web data acquisition methods based on standard metrics.
IDENTIFYING IMPORTANT FEATURES OF USERS TO IMPROVE PAGE RANKING ALGORITHMSIJwest
Web is a wide, various and dynamic environment in which different users publish their documents. Webmining is one of data mining applications in which web patterns are explored. Studies on web mining can be categorized into three classes: application mining, content mining and structure mining. Today, internet has found an increasing significance. Search engines are considered as an important tool to respond users’ interactions. Among algorithms which is used to find pages desired by users is page rank algorithm which ranks pages based on users’ interests. However, as being the most widely used algorithm by search engines including Google, this algorithm has proved its eligibility compared to similar algorithm, but considering growth speed of Internet and increase in using this technology, improving performance of this algorithm is considered as one of the web mining necessities. Current study emphasizes on Ant Colony algorithm and marks most visited links based on higher amount of pheromone. Results of the proposed algorithm indicate high accuracy of this method compared to previous methods. Ant Colony Algorithm as one of the swarm intelligence algorithms inspired by social behavior of ants can be effective in modeling social behavior of web users. In addition, application mining and structure mining techniques can be used simultaneously to improve page ranking performance.
Comparable Analysis of Web Mining Categoriestheijes
Web Data Mining is the current field of analysis which is a combination of two research area known as Data Mining and World Wide Web. Web Data Mining research associates with various research diversities like Database, Artificial Intelligence and Information redeem. The mining techniques are categorized into various categories namely Web Content Mining, Web Structure Mining and Web Usage Mining. In this work, analysis of mining techniques are done. From the analysis it has been concluded that Web Content Mining has unstructured or semi- structure view of data whereas Web Structure Mining have linked structure and Web Usage Mining mainly includes interaction.
Enhance Crawler For Efficiently Harvesting Deep Web Interfacesrahulmonikasharma
Scenario in web is varying quickly and size of web resources is rising, efficiency has become a challenging problem for crawling such data. The hidden web content is the data that cannot be indexed by search engines as they always stay behind searchable web interfaces. The proposed system purposes to develop a framework for focused crawler for efficient gathering hidden web interfaces. Firstly Crawler performs site-based searching for getting center pages with the help of web search tools to avoid from visiting additional number of pages. To get more specific results for a focused crawler, projected crawler ranks websites by giving high priority to more related ones for a given search. Crawler accomplishes fast in-site searching via watching for more relevant links with an adaptive link ranking. Here we have incorporated spell checker for giving correct input and apply reverse searching with incremental site prioritizing for wide-ranging coverage of hidden web sites.
Annotation for query result records based on domain specific ontologyijnlc
The World Wide Web is enriched with a large collection of data, scattered in deep web databases and web
pages in unstructured or semi structured formats. Recently evolving customer friendly web applications
need special data extraction mechanisms to draw out the required data from these deep web, according to
the end user query and populate to the output page dynamically at the fastest rate. In existing research
areas web data extraction methods are based on the supervised learning (wrapper induction) methods. In
the past few years researchers depicted on the automatic web data extraction methods based on similarity
measures. Among automatic data extraction methods our existing Combining Tag and Value similarity
method, lags to identify an attribute in the query result table. A novel approach for data extracting and
label assignment called Annotation for Query Result Records based on domain specific ontology. First, an
ontology domain is to be constructed using information from query interface and query result pages
obtained from the web. Next, using this domain ontology, a meaning label is assigned automatically to each
column of the extracted query result records.
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
A survey on Design and Implementation of Clever Crawler Based On DUST RemovalIJSRD
Now days, World Wide Web has become a popular medium to search information, business, trading and so on. A well know problem face by web crawler is the existence of large fraction of distinct URL that correspond to page with duplicate or nearby duplicate contents. In fact as estimated about 29% of web page are duplicates. Such URL commonly named as dust represent an important problem in search engines. To deal with this problem, the first efforts is focus on comparing document content to detect and remove duplicate document without fetching their contents .To accomplish this, the proposed methods learn normalization rules to transform all duplicate URLs into the same canonical form. A challenging aspect of this strategy is deriving a set of general and precise rules. The new approach to detect and eliminate redundant content is DUSTER .When crawling the web duster take advantage of a multi sequence alignment strategy to learn rewriting rules able to transform to other URL which likely to have same content . Alignment strategy that can lead to reduction of 54% larger in the number of duplicate URL.
Majority of the computer or mobile phone enthusiasts make use of the web for searching
activity. Web search engines are used for the searching; The results that the search engines get
are provided to it by a software module known as the Web Crawler. The size of this web is
increasing round-the-clock. The principal problem is to search this huge database for specific
information. To state whether a web page is relevant to a search topic is a dilemma. This paper
proposes a crawler called as “PDD crawler” which will follow both a link based as well as a
content based approach. This crawler follows a completely new crawling strategy to compute
the relevance of the page. It analyses the content of the page based on the information contained
in various tags within the HTML source code and then computes the total weight of the page. The page with the highest weight, thus has the maximum content and highest relevance.
http://lab.lvduit.com:7850/~lvduit/crawl-the-web/
Special thanks to Hatforrent, csail.mit.edu, Amitavroy, ...
Contact us at dafculi.xc@gmail.com or duyet2000@gmail.com
A Novel Data Extraction and Alignment Method for Web DatabasesIJMER
International Journal of Modern Engineering Research (IJMER) is Peer reviewed, online Journal. It serves as an international archival forum of scholarly research related to engineering and science education.
International Journal of Modern Engineering Research (IJMER) covers all the fields of engineering and science: Electrical Engineering, Mechanical Engineering, Civil Engineering, Chemical Engineering, Computer Engineering, Agricultural Engineering, Aerospace Engineering, Thermodynamics, Structural Engineering, Control Engineering, Robotics, Mechatronics, Fluid Mechanics, Nanotechnology, Simulators, Web-based Learning, Remote Laboratories, Engineering Design Methods, Education Research, Students' Satisfaction and Motivation, Global Projects, and Assessment…. And many more.
COST-SENSITIVE TOPICAL DATA ACQUISITION FROM THE WEBIJDKP
The cost of acquiring training data instances for induction of data mining models is one of the main concerns in real-world problems. The web is a comprehensive source for many types of data which can be used for data mining tasks. But the distributed and dynamic nature of web dictates the use of solutions which can handle these characteristics. In this paper, we introduce an automatic method for topical data acquisition from the web. We propose a new type of topical crawlers that use a hybrid link context extraction method for topical crawling to acquire on-topic web pages with minimum bandwidth usage and with the lowest cost. The new link context extraction method which is called Block Text Window (BTW), combines a text window method with a block-based method and overcomes challenges of each of these methods using the advantages of the other one. Experimental results show the predominance of BTW in comparison with state of the art automatic topical web data acquisition methods based on standard metrics.
IDENTIFYING IMPORTANT FEATURES OF USERS TO IMPROVE PAGE RANKING ALGORITHMSIJwest
Web is a wide, various and dynamic environment in which different users publish their documents. Webmining is one of data mining applications in which web patterns are explored. Studies on web mining can be categorized into three classes: application mining, content mining and structure mining. Today, internet has found an increasing significance. Search engines are considered as an important tool to respond users’ interactions. Among algorithms which is used to find pages desired by users is page rank algorithm which ranks pages based on users’ interests. However, as being the most widely used algorithm by search engines including Google, this algorithm has proved its eligibility compared to similar algorithm, but considering growth speed of Internet and increase in using this technology, improving performance of this algorithm is considered as one of the web mining necessities. Current study emphasizes on Ant Colony algorithm and marks most visited links based on higher amount of pheromone. Results of the proposed algorithm indicate high accuracy of this method compared to previous methods. Ant Colony Algorithm as one of the swarm intelligence algorithms inspired by social behavior of ants can be effective in modeling social behavior of web users. In addition, application mining and structure mining techniques can be used simultaneously to improve page ranking performance.
Comparable Analysis of Web Mining Categoriestheijes
Web Data Mining is the current field of analysis which is a combination of two research area known as Data Mining and World Wide Web. Web Data Mining research associates with various research diversities like Database, Artificial Intelligence and Information redeem. The mining techniques are categorized into various categories namely Web Content Mining, Web Structure Mining and Web Usage Mining. In this work, analysis of mining techniques are done. From the analysis it has been concluded that Web Content Mining has unstructured or semi- structure view of data whereas Web Structure Mining have linked structure and Web Usage Mining mainly includes interaction.
Enhance Crawler For Efficiently Harvesting Deep Web Interfacesrahulmonikasharma
Scenario in web is varying quickly and size of web resources is rising, efficiency has become a challenging problem for crawling such data. The hidden web content is the data that cannot be indexed by search engines as they always stay behind searchable web interfaces. The proposed system purposes to develop a framework for focused crawler for efficient gathering hidden web interfaces. Firstly Crawler performs site-based searching for getting center pages with the help of web search tools to avoid from visiting additional number of pages. To get more specific results for a focused crawler, projected crawler ranks websites by giving high priority to more related ones for a given search. Crawler accomplishes fast in-site searching via watching for more relevant links with an adaptive link ranking. Here we have incorporated spell checker for giving correct input and apply reverse searching with incremental site prioritizing for wide-ranging coverage of hidden web sites.
Annotation for query result records based on domain specific ontologyijnlc
The World Wide Web is enriched with a large collection of data, scattered in deep web databases and web
pages in unstructured or semi structured formats. Recently evolving customer friendly web applications
need special data extraction mechanisms to draw out the required data from these deep web, according to
the end user query and populate to the output page dynamically at the fastest rate. In existing research
areas web data extraction methods are based on the supervised learning (wrapper induction) methods. In
the past few years researchers depicted on the automatic web data extraction methods based on similarity
measures. Among automatic data extraction methods our existing Combining Tag and Value similarity
method, lags to identify an attribute in the query result table. A novel approach for data extracting and
label assignment called Annotation for Query Result Records based on domain specific ontology. First, an
ontology domain is to be constructed using information from query interface and query result pages
obtained from the web. Next, using this domain ontology, a meaning label is assigned automatically to each
column of the extracted query result records.
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
A survey on Design and Implementation of Clever Crawler Based On DUST RemovalIJSRD
Now days, World Wide Web has become a popular medium to search information, business, trading and so on. A well know problem face by web crawler is the existence of large fraction of distinct URL that correspond to page with duplicate or nearby duplicate contents. In fact as estimated about 29% of web page are duplicates. Such URL commonly named as dust represent an important problem in search engines. To deal with this problem, the first efforts is focus on comparing document content to detect and remove duplicate document without fetching their contents .To accomplish this, the proposed methods learn normalization rules to transform all duplicate URLs into the same canonical form. A challenging aspect of this strategy is deriving a set of general and precise rules. The new approach to detect and eliminate redundant content is DUSTER .When crawling the web duster take advantage of a multi sequence alignment strategy to learn rewriting rules able to transform to other URL which likely to have same content . Alignment strategy that can lead to reduction of 54% larger in the number of duplicate URL.
Majority of the computer or mobile phone enthusiasts make use of the web for searching
activity. Web search engines are used for the searching; The results that the search engines get
are provided to it by a software module known as the Web Crawler. The size of this web is
increasing round-the-clock. The principal problem is to search this huge database for specific
information. To state whether a web page is relevant to a search topic is a dilemma. This paper
proposes a crawler called as “PDD crawler” which will follow both a link based as well as a
content based approach. This crawler follows a completely new crawling strategy to compute
the relevance of the page. It analyses the content of the page based on the information contained
in various tags within the HTML source code and then computes the total weight of the page. The page with the highest weight, thus has the maximum content and highest relevance.
http://lab.lvduit.com:7850/~lvduit/crawl-the-web/
Special thanks to Hatforrent, csail.mit.edu, Amitavroy, ...
Contact us at dafculi.xc@gmail.com or duyet2000@gmail.com
International conference On Computer Science And technologyanchalsinghdm
ICGCET 2019 | 5th International Conference on Green Computing and Engineering Technologies. The conference will be held on 7th September - 9th September 2019 in Morocco. International Conference On Engineering Technology
The conference aims to promote the work of researchers, scientists, engineers and students from across the world on advancement in electronic and computer systems.
International Journal of Computational Engineering Research (IJCER) is dedicated to protecting personal information and will make every reasonable effort to handle collected information appropriately. All information collected, as well as related requests, will be handled as carefully and efficiently as possible in accordance with IJCER standards for integrity and objectivity.
Intelligent Web Crawling (WI-IAT 2013 Tutorial)Denis Shestakov
<<< Slides can be found at http://www.slideshare.net/denshe/intelligent-crawling-shestakovwiiat13 >>>
-------------------
Web crawling, a process of collecting web pages in
an automated manner, is the primary and ubiquitous operation used by a large number of web systems and agents starting from a simple program for website backup to a major web search engine. Due to an astronomical amount of data already published on the Web and ongoing exponential growth of web content, any party that want to take advantage of massive-scale web data faces a high barrier to entry. We start with background on web crawling and the structure of the Web. We then discuss different crawling strategies and describe adaptive web crawling techniques leading to better overall crawl performance. We finally overview some of the challenges in web crawling by presenting such topics as collaborative web crawling, crawling the deep Web and crawling multimedia content. Our goals are to introduce the intelligent systems community to the challenges in web crawling research, present intelligent web crawling approaches, and engage researchers and practitioners for open issues and research problems. Our presentation could be of interest to web intelligence and intelligent agent technology communities as it particularly focuses on the usage of intelligent/adaptive techniques in the web crawling domain.
-------------------
Design and Implementation of Carpool Data Acquisition Program Based on Web Cr...ijmech
Now the public traffics make the life more and more convenient. The amount of vehicles in large or medium sized cities is also in the rapid growth. In order to take full advantage of social resources and protect the environment, regional end-to-end public transport services are established by analyzing online travel data. The usage of computer programs for processing of the web page is necessary for accessing to a large number of the carpool data. In the paper, web crawlers are designed to capture the travel data from several large service sites. In order to maximize the access to traffic data, a breadth-first algorithm is used. The carpool data will be saved in a structured form. Additionally, the paper has provided a convenient method of data collecting to the program.
DESIGN AND IMPLEMENTATION OF CARPOOL DATA ACQUISITION PROGRAM BASED ON WEB CR...ijmech
Now the public traffics make the life more and more convenient. The amount of vehicles in large or medium sized cities is also in the rapid growth. In order to take full advantage of social resources and protect the environment, regional end-to-end public transport services are established by analyzing online travel data. The usage of computer programs for processing of the web page is necessary for accessing to a large number of the carpool data. In the paper, web crawlers are designed to capture the travel data from several large service sites. In order to maximize the access to traffic data, a breadth-first algorithm is used. The carpool data will be saved in a structured form. Additionally, the paper has provided a convenient method of data collecting to the program.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
Data Processing in Web Mining Structure by Hyperlinks and Pagerankijtsrd
Creating a quick and effective page ranking system for web crawling and retrieval is still a difficult problem. We suggest constructing a set of PageRank vectors biased using a collection of representative subjects in order to better capture the idea of relevance with regard to a certainty of topic in order to produce more accurate for search results. The outcome of the experiment demonstrates that the suggested algorithm improves the degree of relevance compared to the original one and reduces the topic sensitive PageRanks query time efforts. This paper offers an overview of Web mining as well as a review of its various categories. Next, we concentrate on one of these subcategories Web structure mining. In this area, we describe link mining and examine PageRank, two well liked techniques used in web structure mining. Ku Nalesh | Ghanshyam Sahu | Lalit Kumar P Bhaiya "Data Processing in Web Mining Structure by Hyperlinks and Pagerank" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-7 | Issue-6 , December 2023, URL: https://www.ijtsrd.com/papers/ijtsrd60083.pdf Paper Url: https://www.ijtsrd.com/computer-science/data-miining/60083/data-processing-in-web-mining-structure-by-hyperlinks-and-pagerank/ku-nalesh
Similar to IRJET-Multi -Stage Smart Deep Web Crawling Systems: A Review (20)
Cosmetic shop management system project report.pdfKamal Acharya
Buying new cosmetic products is difficult. It can even be scary for those who have sensitive skin and are prone to skin trouble. The information needed to alleviate this problem is on the back of each product, but it's thought to interpret those ingredient lists unless you have a background in chemistry.
Instead of buying and hoping for the best, we can use data science to help us predict which products may be good fits for us. It includes various function programs to do the above mentioned tasks.
Data file handling has been effectively used in the program.
The automated cosmetic shop management system should deal with the automation of general workflow and administration process of the shop. The main processes of the system focus on customer's request where the system is able to search the most appropriate products and deliver it to the customers. It should help the employees to quickly identify the list of cosmetic product that have reached the minimum quantity and also keep a track of expired date for each cosmetic product. It should help the employees to find the rack number in which the product is placed.It is also Faster and more efficient way.
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.
Water scarcity is the lack of fresh water resources to meet the standard water demand. There are two type of water scarcity. One is physical. The other is economic water scarcity.
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/
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdffxintegritypublishin
Advancements in technology unveil a myriad of electrical and electronic breakthroughs geared towards efficiently harnessing limited resources to meet human energy demands. The optimization of hybrid solar PV panels and pumped hydro energy supply systems plays a pivotal role in utilizing natural resources effectively. This initiative not only benefits humanity but also fosters environmental sustainability. The study investigated the design optimization of these hybrid systems, focusing on understanding solar radiation patterns, identifying geographical influences on solar radiation, formulating a mathematical model for system optimization, and determining the optimal configuration of PV panels and pumped hydro storage. Through a comparative analysis approach and eight weeks of data collection, the study addressed key research questions related to solar radiation patterns and optimal system design. The findings highlighted regions with heightened solar radiation levels, showcasing substantial potential for power generation and emphasizing the system's efficiency. Optimizing system design significantly boosted power generation, promoted renewable energy utilization, and enhanced energy storage capacity. The study underscored the benefits of optimizing hybrid solar PV panels and pumped hydro energy supply systems for sustainable energy usage. Optimizing the design of solar PV panels and pumped hydro energy supply systems as examined across diverse climatic conditions in a developing country, not only enhances power generation but also improves the integration of renewable energy sources and boosts energy storage capacities, particularly beneficial for less economically prosperous regions. Additionally, the study provides valuable insights for advancing energy research in economically viable areas. Recommendations included conducting site-specific assessments, utilizing advanced modeling tools, implementing regular maintenance protocols, and enhancing communication among system components.
Explore the innovative world of trenchless pipe repair with our comprehensive guide, "The Benefits and Techniques of Trenchless Pipe Repair." This document delves into the modern methods of repairing underground pipes without the need for extensive excavation, highlighting the numerous advantages and the latest techniques used in the industry.
Learn about the cost savings, reduced environmental impact, and minimal disruption associated with trenchless technology. Discover detailed explanations of popular techniques such as pipe bursting, cured-in-place pipe (CIPP) lining, and directional drilling. Understand how these methods can be applied to various types of infrastructure, from residential plumbing to large-scale municipal systems.
Ideal for homeowners, contractors, engineers, and anyone interested in modern plumbing solutions, this guide provides valuable insights into why trenchless pipe repair is becoming the preferred choice for pipe rehabilitation. Stay informed about the latest advancements and best practices in the field.
Hierarchical Digital Twin of a Naval Power SystemKerry Sado
A hierarchical digital twin of a Naval DC power system has been developed and experimentally verified. Similar to other state-of-the-art digital twins, this technology creates a digital replica of the physical system executed in real-time or faster, which can modify hardware controls. However, its advantage stems from distributing computational efforts by utilizing a hierarchical structure composed of lower-level digital twin blocks and a higher-level system digital twin. Each digital twin block is associated with a physical subsystem of the hardware and communicates with a singular system digital twin, which creates a system-level response. By extracting information from each level of the hierarchy, power system controls of the hardware were reconfigured autonomously. This hierarchical digital twin development offers several advantages over other digital twins, particularly in the field of naval power systems. The hierarchical structure allows for greater computational efficiency and scalability while the ability to autonomously reconfigure hardware controls offers increased flexibility and responsiveness. The hierarchical decomposition and models utilized were well aligned with the physical twin, as indicated by the maximum deviations between the developed digital twin hierarchy and the hardware.