web mining
play

Web Mining Andreas Andersson Gustav Strmberg Sandra Stendahl - PDF document

2011-11-30 Web Mining Andreas Andersson Gustav Strmberg Sandra Stendahl Introduction Web mining o Structure mining o Content mining o Usage mining Web usage mining o Acquire the data o Preprocess the data o Detect patterns in the data o


  1. 2011-11-30 Web Mining Andreas Andersson Gustav Strömberg Sandra Stendahl Introduction • Web mining o Structure mining o Content mining o Usage mining • Web usage mining o Acquire the data o Preprocess the data o Detect patterns in the data o Use the detected patterns - applications 1

  2. 2011-11-30 Techniques • Preprocessing o Eliminating Web robots o Avoiding mislabeled sessions • Mining o Indirect association Clustering techniques • K-Means • AprioriAll • Buckshot • Suffix tree • Fractionation • Single pass 2

  3. 2011-11-30 Applications • Website modifications • System improvement • Web personalization • Buisness Intelligence Summary • Web usage mining -Three major parts • Preprocessing is a major step to reduce time consumption • Four major application areas 3

  4. 2011-11-30 Bibliography Pang- Nin Tang, Vipin Kumar, “Mining association patterns in web usage data”. 2002 Magdalini Eirinaki, Michalis Vazirgiannis, “Web mining for web personalization”. 2003 Maria- Luiza Antonie, Osmar R. Zaïane, “Mining positive and negative association rules: An approach for confined rules”. 2004 M. Koster, “A standard for robot exclusion”, http://info.webcrawler.com/mak/projects/robots/norobots.html, 1994 C. Brodley and M.A. Friedl, “Identifying mislabeled training data”, Journal of Artificial Intelligence Research , vol. 11 pp. 131-167, 1999 Jaideep Srivastava, Robert Cooley, Mukund Deshpande, Pang- Ning Tan, “Web Usage Mining: Discovery and Applications of Usage Patterns from Web Data”. 1999 More bibliography Mike Perkowitz, Oren Etzioni, “Adaptive Web Sites: Automatically Synthesizing Web Pages”. 1998 Tak Woon Yan, Matthew Jacobsen, Hector Garcia- Molina, Umeshwar Dayal, “From User Access Patterns to Dynamic Hypertext Linking”. 1996 Bamshad Mobasher, Robert Cooley, Jaideep Srivastava, “Creating Adaptive Web Sites Through Usage -Based Clustering of URLs”. 1999 BizIntel, http://www.bizintel.se/ (2011) webtrends, http://webtrends.com/ (2011) Samuel Sambasivan, Nick Theodosopoulos, “Advanced data clustering methods of mining web documents”. 2006 R. Agrawal and R. Skrikant. Fast algorithms for mining association rules. In Proc. of the 20th VLDB Conference , Santiago, Chile, 1994. 4

  5. 2011-11-30 Questions? 5

Download Presentation
Download Policy: The content available on the website is offered to you 'AS IS' for your personal information and use only. It cannot be commercialized, licensed, or distributed on other websites without prior consent from the author. To download a presentation, simply click this link. If you encounter any difficulties during the download process, it's possible that the publisher has removed the file from their server.

Recommend


More recommend