Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 30375
A Comparative Analysis of Different Web Content Mining Tools

Authors: N. Shanthi, T. Suresh Kumar, M. Arthanari

Abstract:

Nowadays, the Web has become one of the most pervasive platforms for information change and retrieval. It collects the suitable and perfectly fitting information from websites that one requires. Data mining is the form of extracting data’s available in the internet. Web mining is one of the elements of data mining Technique, which relates to various research communities such as information recovery, folder managing system and simulated intellects. In this Paper we have discussed the concepts of Web mining. We contain generally focused on one of the categories of Web mining, specifically the Web Content Mining and its various farm duties. The mining tools are imperative to scanning the many images, text, and HTML documents and then, the result is used by the various search engines. We conclude by presenting a comparative table of these tools based on some pertinent criteria.

Keywords: Data Mining, Information Retrieval, Web mining, web content mining, Mining Tools

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1337569

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 2867

References:


[1] C Abdelhakim Herrouz, Chabane Khentout, Mahieddine Djoudi, “Overview of Web Content Mining Tools” The International Journal of Engineering And Science (IJES) Volume 2 Issue 6 Pages 2013.
[2] Raymond Kosala, Hendrik Blockeel, “Web Mining Research: A Survey” ACM SIGKDD, July 2010. Volume 2, issue -1, page-1.
[3] V. Bharanipriya, V. Kamakshi Prasad, “Web content mining tools: A Comparative study” International Journal of Information Technology and Knowledge Management, January-June 2011, Volume 4, No. 1, pp. 211-215.
[4] Dragos Arotaritei, Sushmita Mitra,“Web mining: a survey in the fuzzy framework” Fuzzy Sets and Systems148 (2004)519.
[5] Arvind Kumar Sharma, P.C. Gupta,“Study & Analysis of Web Content Mining Tools to Improve Techniques of Web Data Mining” International Journal of Advanced Research in Computer Engineering & Technology (IJARCET) Volume 1, Issue 8, October 2012.
[6] R. Malarvizhi, K. Saraswathi, “Web Content Mining Techniques, Tools & Algorithms – A Comprehensive Study, ” International Journal of Computer Trends and Technology (IJCTT) – volume 4 Issue 8–August 2013.
[7] Monika Pathak, Sukhdev Singh, “A Comparative Study of Various Issues in Web Mining” International Journal of IT, Engineering and Applied Sciences Research (IJIEASR) Volume 3, No. 2, February 2014.
[8] T. S. Anushya Davy, M. Selvanayaki, “An Overview Of Web Content, Mining and its Techniques” International Journal of Advanced Science, Engineering and Technology Vol.3 Issue.1 No.10, March-2014, 48-53.
[9] Tripurari Pujan Pratap Singh, Dr. Anurag Seetha, K. K. Pandey, “HIT: Web Content Mining Tool” International Journal of Electronic Communication and Computer Engineering Volume 3, Issue 6.
[10] T. Shanmugapriya, P. Kiruthika, “Survey on Web Content, Mining and Its Tools” International Journal of Science, Engineering and Research (IJSER) Volume 2 Issue 8, August 2014.
[11] Nirali N. Madhak, Shahida G. Chauhan, Chintan R. Varnagar, “Understanding the Scope of Web Mining -Comprehensive Study” National Conference on Emerging Trends in Computer & Electrical Engineering.
[12] M. Karpagam, R. Sasikala, “Analysis of Web Content Mining Tools” International Journal of Advanced Research in Computer Science and Software Engineering Volume 3, Issue 12, December 2013.