Effectiveness of Web Usage Mining Techniques in Business Application

Web usage mining techniques and applications across industries is still exploratory and, despite an increase in academic research, there are challenge of analyze web which quantitatively capture web users’ common interests and characterize their underlying tasks. This chapter addresses the problem of how to support web usage mining techniques and applications across industries by combining language of web pages and algorithms that used in web data mining. Existing research in web usage mining techniques tend to focus on finding out how each techniques can apply in different industries fields. However, there is little evidence that researchers have approached the issue of web usage mining across industries. Consequently, the aim of this chapter is to provide an overview of how the web usage mining techniques and applications across industries can be supported.

[1]  Witold Abramowicz,et al.  INFORMATION EXTRACTION FROM WEB PAGES FOR THE NEEDS OF EXPERT FINDING , 2010 .

[2]  Hesham Ahmed,et al.  Arabic Documents classification method a Step towards Efficient Documents Summarization , 2015 .

[3]  Vadlamani Ravi,et al.  A survey on opinion mining and sentiment analysis: Tasks, approaches and applications , 2015, Knowl. Based Syst..

[4]  Jaideep Srivastava,et al.  Web usage mining: discovery and applications of usage patterns from Web data , 2000, SKDD.

[5]  Milton L. Mueller,et al.  Where is the governance in Internet governance? , 2013, New Media Soc..

[6]  Johannes Fürnkranz,et al.  Web Structure Mining --- Exploiting the Graph Structure of the World-Wide Web , 2002 .

[7]  Frizo A. L. Janssens,et al.  Clustering of scientific fields by integrating text mining and bibliometrics , 2007 .

[8]  Andrew McCallum,et al.  Extracting social networks and contact information from email and the Web , 2004, CEAS.

[9]  Dinakaran Muruganantham,et al.  Effective Entity Linking and Disambiguation Algorithms for User-Generated Content (UGC) , 2018 .

[10]  Daniel Neagu,et al.  Online social network profile data extraction for vulnerability analysis , 2011 .

[11]  Tzung-Pei Hong,et al.  Web usage mining with intentional browsing data , 2008, Expert Syst. Appl..

[12]  Mohamed-K Hussein,et al.  An Effective Web Mining Algorithm using Link Analysis , 2010 .

[13]  M. Soley,et al.  Culture as an Issue in Knowledge Sharing: A Means of Competitive Advantage , 2003 .

[14]  Shreya Sharma,et al.  Review Paper on Web Content Mining , 2015 .

[15]  R. Nadarajan,et al.  Fault-Tolerant Text Data Compression Algorithms , 2009, Int. J. Inf. Technol. Web Eng..

[16]  Yi Lu,et al.  Mining Web Log Sequential Patterns with Position Coded Pre-Order Linked WAP-Tree , 2005, Data Mining and Knowledge Discovery.

[17]  Sultan Aljahdali,et al.  Web Mining Techniques in E-Commerce Applications , 2013, ArXiv.

[18]  Olfa Nasraoui,et al.  Web Usage Mining , 2011 .

[19]  Pasquale De Meo,et al.  Web Data Extraction , Applications and Techniques : A Survey , 2010 .

[20]  Mohamed Ali Kâafar,et al.  Digging into Anonymous Traffic: A Deep Analysis of the Tor Anonymizing Network , 2010, 2010 Fourth International Conference on Network and System Security.

[21]  Iosr Journals,et al.  A Study: Web Data Mining Challenges and Application for Information Extraction , 2012 .

[22]  Jiawei Han,et al.  Frequent pattern mining: current status and future directions , 2007, Data Mining and Knowledge Discovery.

[23]  Gurpreet Singh Lehal,et al.  A Survey of Text Mining Techniques and Applications , 2009 .

[24]  Kirit J. Modi,et al.  Web Personalization Using Web Mining: Concept and Research Issue , 2012 .

[25]  Finn Årup Nielsen,et al.  The People’s Encyclopedia Under the Gaze of the Sages: A Systematic Review of Scholarly Research on Wikipedia , 2012 .

[26]  Robert L. Grossman,et al.  Mining data records in Web pages , 2003, KDD '03.

[27]  Shawon S. M. Rahman,et al.  Enterprise Cloud Adoption: A Quantitative Exploratory Research , 2014 .

[28]  Xiaoli Li,et al.  Eliminating noisy information in Web pages for data mining , 2003, KDD '03.

[29]  Aboul Ella Hassanien,et al.  Recommender system for ground-level Ozone predictions in Kuwait , 2013, 2013 Federated Conference on Computer Science and Information Systems.