An Analysis on Recent Reviews Pertaining to Web Mining and Its Application Domains

  IJCTT-book-cover
 
International Journal of Computer Trends and Technology (IJCTT)          
 
© 2016 by IJCTT Journal
Volume-34 Number-1
Year of Publication : 2016
Authors : J.I. Christy Eunaicy, S. Suguna
  10.14445/22312803/IJCTT-V34P107

MLA

J.I. Christy Eunaicy, S. Suguna "An Analysis on Recent Reviews Pertaining to Web Mining and Its Application Domains". International Journal of Computer Trends and Technology (IJCTT) V34(1):40-45, April 2016. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.

Abstract -
World Wide Web is a very popular and fertile area for interactive transformation of information. The Web Mining is mainly concerned with web content, web structure and web usagemining and extensive researches are being conducted in all these web mining categories. At this juncture, the pooling of reviews on web mining and their analyses are mandatory for finding new avenues and applications in researches. In this connection the present investigationwas devoted not only for the collection of reviewson mining of web usage, web structure and web content but also for the extensive analyses on the pooled reviews. Itwas found thatcontent mining in terms of scanning of text and mining of text, pictures plus graphs of a web page could determine the relevance of the content to the search query. It was also found thatcontent miningcould provide the list of results to search engines in the order of highest relevance to the keywords in the query.The research outcomes in structure mining revealed that the knowledge extracted from the web could be used to raise the performances for web information retrievals, question answering and Web based data warehousing. The result outcomes also revealed that the extraction of knowledge from server log files could be possible in web usage mining. On the basis of the pooled research findings in the present investigation, it could be concluded that the new avenues and applications in researches would be in increasing trends that would result in technically matured anduser friendly web mining applications.

References
[1] .Srividya M, Anandhi D, Irfan Ahmed M.S., ”Web Mining and Its Categories – A Survey”. International Journal Of Engineering And Computer Science ISSN: 2319-7242, Volume 2 Issue 4 April, Page No. 1338-1345, 2013.
[2]Rajdeepa B, Sumathi P., “An Analysis of Web Mining and its types besides Comparison of Link Mining Algorithms in addition to its specifications”, International Journal of Advanced Research in Computer Engineering & Technology (IJARCET) Volume 3, Issue 1, , ISSN: 2278 – 1323, January 2014.
[3] Neha Sharma et al., „‟ A Hand to Hand Taxonomical Survey on Web Mining”, International Journal of Computer Applications (0975 – 8887) Volume 60– No.3, December 2012
[4] Valarmathy et al.,” A Survey on Web Content Mining Techniques and Tools” IJISET, Vol. 1 Issue 6, , ISSN 2348 – 7968, August 2014.
[5] Kao et al., “Wisdom Web intrapage informative structure mining based on document object model” in IEEE Trans KDD, 2005.
[6]PrabhjotKaur."Web Content Classification: A Survey". International Journal of Computer Trends and Technology (IJCTT) V10(2):97-101, ISSN:2231-2803, 2014.
[7] Ozel, S.A, A genetic algorithm based optimal feature selection for Web page classification, IEEE, pg.no 282-286, ISBN:978-1- 61284-919-5
[8]Shivakumar et al., “Survey On Web Structure Mining” ARPN Journal of Engineering and Applied Sciences, Vol. 9, No. 10, , Issn 1819-6608, October 2014.
[9] PreetibalaDeshmukh et al., “A Survey Paper of Structure Mining Technique Using Clustering and Ranking Algorithm”, International Journal of Computer Applications (0975 – 8887)Volume 119 –No.13, June 2015
[10] SeifedineKadry , Ali Kalakech ,” On the Improvement of Weighted Page Content Rank”,Journal of Advances in Computer Networks, Vol. 1, No. 2, June 2013
[11]Pardakhe et al., “Analysis of Various Web Page Ranking Algorithms in Web Structure Mining”International Journal of Advanced Research in Computer and Communication Engineering Vol.2, Issue 12, December 2013
[12] NamdevAnwat et al.,”Survey paper on web usage mining for web personalization”, International journal of Innovative Research and Development, ISSN 2278–0211, Vol 3, Issue 7, 2014
[13] AmitPratap Singh et al.,” A Survey on Different Phases of Web Usage Mining for Anomaly User Behavior Investigation, International Journal of Emerging Trends & Technology in Computer Science , Volume 3, Issue 3, ISSN 2278-6856, May – June 2014.
[14] Arvind K. Sharma et al., “Analysis Of Web Server Log Files To Increase The Effectiveness Of The Website Using Web Mining Tool”, International Journal of Advanced Computer and Mathematical Sciences ISSN 2230-9624. Vol 4, Issue 1, pp1-8, 2013.
[15]Maryam Jafari1 et al., “Extracting Users‟ Navigational Behavior from Web Log Data: a Survey”, Journal of Computer Sciences and Applications, Vol. 1, No. 3, 39-45, 2013.
[16] Singh et al., “Web usage Mining: Discovery of Mined Data Patterns and their Applications”, International Journal of Computer Science and Management Research, Vol 2 Issue 5, ISSN 2278- 733x, 2013.
[17]AkshayUpadhyay et al., Web Usage Mining has Pattern Discovery”, International Journal Of Scientific and Research Publications, Volume 3, Issue 2, February 2013.
[18] Chtiraa et al., “A Novel Technique for Sessions Identification in Web Usage Mining Preprocessing”, International Journal of Computer Applications (09275-887), Vol 34 – No.9, November 2011.
[19] SanjeevDhawan et al., “Web Usage Mining: Finding Usage Patterns from Web logs”, American International Journal of Research in Science, Technology, Engineering & Mathematics, ISSN 2328 – 3491, pp 203-207, 2013.
[20] Sheetal A. Raiyani et al., “Efficient Preprocessing technique using Web log mining, International Journal of Advancements in Research & Technology”, 1(6) ISSN 2278-7763, 2012.
[21] Suguna et al., “User Interest Level Based Preprocessing Algorithms Using Web Usage Mining”, ISSN : 0975-3397 Vol. 5 No. 09 Sep 2013.
[22] KobraEtminani, Mohammad et al., “Web Usage Mining: users' navigational patterns extraction from web logs using Antbased Clustering Method,” in Proc. IFSA-EUSFLAT 2009.
[23] Chitraa et al., “A Survey on Preprocessing Methods for Web Usage Data “, (IJCSIS) International Journal of Computer Science and Information secretary Security, Vol. 7, No. 3, 2010.
[24] Sudheer Reddy et al., “An Effective Methodology for Pattern Discovery in Web Usage Mining”, International Journal of Computer Science and Information Technologies, Vol. 3 (2) 3664- 3667, ISSN: 0975 – 9646, 2012.
[25]Sisodia, “Web usage pattern analysis through web logs: A review”, Computer Science and Software Engineering (JCSSE), 2012 International Joint Conference on May 30 2012-June 1 2012, pg:49 – 53 ISBN:978-1-4673-1920-1, 2012.
[26]Aarti M. Parekh et al., “Web usage Mining:Frequent Pattern Generation using Association Rule Mining and Clustering“, International Journal of Engineering Research & Technology (IJERT)ISSN: 2278-0181 Vol. 4 Issue 04, April-2015
[27] Chaitra L Mugali et al., “Pre-Processing and Analysis of Web Server Logs”, International Journal of Innovative Research in Advanced Engineering (IJIRAE) ISSN: 2349-2163Issue 8, Volume 2, 2015.
[28] RajniPamnani, PramilaChawan 1 Qingtian Han, XiaoyanGao, “Web Usage Mining: A Research Area In Web Mining”.
[29]Wenguo Wu, “Study On Web Mining Algorithm Based On Usage Mining”, Computer- Aided Industrial Design And Conceptual Design, 2008. CAID/CD. 9th International Conference On 22-25, 2008.
[30] RajniTripathi, Munesh Chandra Trivedi, ShraddhaTripathi, “Web usage mining: A fact finding approach in web mining”, International Journal of Computer Trends and Technology(IJCTT), vol12 no 12, June 2014
[31] Malarvizhi, Saraswathi “Web Content Mining tools and algorithms – A Comprehensive study”, ”, International Journal of Computer Trends and Technology(IJCTT), vol 4 no 8, 2013

Keywords
Web Mining, Web Usage Mining, Preprocessing, Pattern analysis, Link Structure, Personalization.