WEBKDD 2001 — Mining Web Log Data Across All Customers Touch Points

Detail and Context in Web Usage Mining: Coarsening and Visualizing Sequences.- A Customer Purchase Incidence Model Applied to Recommender Services.- A Cube Model and Cluster Analysis for Web Access Sessions.- Exploiting Web Log Mining for Web Cache Enhancement.- LOGML: Log Markup Language for Web Usage Mining.- A Framework for Efficient and Anonymous Web Usage Mining Based on Client-Side Tracking.- Mining Indirect Associations in Web Data.

[1]  Anupam Joshi,et al.  On Mining Web Access Logs , 2000, ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery.

[2]  Yannis Manolopoulos,et al.  Finding Generalized Path Patterns for Web Log Data Mining , 2000, ADBIS-DASFAA.

[3]  Jeffrey C. Mogul,et al.  Using predictive prefetching to improve World Wide Web latency , 1996, CCRV.

[4]  Philip S. Yu,et al.  Efficient Data Mining for Path Traversal Patterns , 1998, IEEE Trans. Knowl. Data Eng..

[5]  Anupam,et al.  Mining Web Access Logs Using Relational Competitive Fuzzy Clustering , 1999 .

[6]  Pavel Berkhin,et al.  Interactive path analysis of web site traffic , 2001, KDD '01.

[7]  Jeffrey Heer,et al.  Identification of Web User Traffic Composition using Multi-Modal Clustering and Information Scent , 2000 .

[8]  Jiawei Han,et al.  Discovering Web access patterns and trends by applying OLAP and data mining technology on Web logs , 1998, Proceedings IEEE International Forum on Research and Technology Advances in Digital Libraries -ADL'98-.

[9]  Michael K. Ng,et al.  A fuzzy k-modes algorithm for clustering categorical data , 1999, IEEE Trans. Fuzzy Syst..

[10]  Themistoklis Palpanas,et al.  Web prefetching using partial match prediction , 1998 .

[11]  Jaideep Srivastava,et al.  Data Preparation for Mining World Wide Web Browsing Patterns , 1999, Knowledge and Information Systems.

[12]  Arindam Banerjee,et al.  Clickstream clustering using weighted longest common subsequences , 2001 .

[13]  Beng Chin Ooi,et al.  Making Web Servers Pushier , 1999, WEBKDD.

[14]  Ramana Rao,et al.  Silk from a sow's ear: extracting usable structures from the Web , 1996, CHI.

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

[16]  Ralph Kimball,et al.  The Data Webhouse Toolkit: Building the Web-enabled Data Warehouse , 2000, Ind. Manag. Data Syst..

[17]  Jian Pei,et al.  Mining Access Patterns Efficiently from Web Logs , 2000, PAKDD.

[18]  Jonathan Magid,et al.  The Web Server Book: Tools & Techniques for Building Your Own Internet Information Site , 1995 .

[19]  Padhraic Smyth,et al.  A general probabilistic framework for clustering individuals and objects , 2000, KDD '00.

[20]  Oren Etzioni,et al.  The World-Wide Web: quagmire or gold mine? , 1996, CACM.

[21]  Jim Zelenka,et al.  Informed prefetching and caching , 1995, SOSP.

[22]  Peter Pirolli,et al.  Mining Longest Repeating Subsequences to Predict World Wide Web Surfing , 1999, USENIX Symposium on Internet Technologies and Systems.

[23]  Joshua Zhexue Huang,et al.  Extensions to the k-Means Algorithm for Clustering Large Data Sets with Categorical Values , 1998, Data Mining and Knowledge Discovery.

[24]  PatternsYongjian,et al.  Clustering of Web Users Based on Access , 1999 .

[25]  Hendrik Blockeel,et al.  Web mining research: a survey , 2000, SKDD.

[26]  Jiawei Han,et al.  Efficient and Effective Clustering Methods for Spatial Data Mining , 1994, VLDB.

[27]  Yannis Manolopoulos,et al.  A Data Mining Algorithm for Generalized Web Prefetching , 2003, IEEE Trans. Knowl. Data Eng..

[28]  Tapan Kamdar,et al.  On Creating Adaptive Web Servers Using Weblog Mining , 2000 .

[29]  Myra Spiliopoulou,et al.  Measuring the Accuracy of Sessionizers for Web Usage Analysis , 2001 .

[30]  Yannis Manolopoulos,et al.  Mining patterns from graph traversals , 2001, Data Knowl. Eng..

[31]  Jiawei Han,et al.  Knowledge Discovery in Databases: An Attribute-Oriented Approach , 1992, VLDB.

[32]  Heikki Mannila,et al.  Discovery of Frequent Episodes in Event Sequences , 1997, Data Mining and Knowledge Discovery.

[33]  Farnoush Banaei Kashani,et al.  INSITE: A Tool for Real-Time Knowledge Discovery from Users Web Navigation * , 2000 .

[34]  Anil K. Jain,et al.  Algorithms for Clustering Data , 1988 .