© 2009

Advances in Web Mining and Web Usage Analysis

9th International Workshop on Knowledge Discovery on the Web, WebKDD 2007, and 1st International Workshop on Social Networks Analysis, SNA-KDD 2007, San Jose, CA, USA, August 12-15, 2007. Revised Papers

  • Haizheng Zhang
  • Myra Spiliopoulou
  • Bamshad Mobasher
  • C. Lee Giles
  • Andrew McCallum
  • Olfa Nasraoui
  • Jaideep Srivastava
  • John Yen
Conference proceedings SNAKDD 2007

Part of the Lecture Notes in Computer Science book series (LNCS, volume 5439)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 5439)

Table of contents

  1. Front Matter
  2. Miklós Kurucz, András A. Benczúr, Károly Csalogány, László Lukács
    Pages 1-20
  3. Wojciech Gryc, Mary Helander, Rick Lawrence, Yan Liu, Claudia Perlich, Chandan Reddy et al.
    Pages 21-39
  4. Germán Creamer, Ryan Rowe, Shlomo Hershkop, Salvatore J. Stolfo
    Pages 40-58
  5. Osmar R. Zaïane, Jiyang Chen, Randy Goebel
    Pages 59-76
  6. Kristina Lerman
    Pages 77-96
  7. Smriti Bhagat, Graham Cormode, Irina Rozenbaum
    Pages 97-117
  8. Akshay Java, Xiaodan Song, Tim Finin, Belle Tseng
    Pages 118-138
  9. Zeinab Abbassi, Vahab S. Mirrokni
    Pages 139-153
  10. Back Matter

About these proceedings


This book constitutes the thoroughly refereed post-workshop proceedings of the 9th International Workshop on Mining Web Data, WEBKDD 2007, and the 1st International Workshop on Social Network Analysis, SNA-KDD 2007, jointly held in St. Jose, CA, USA in August 2007 in conjunction with the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2007.

The 8 revised full papers presented together with a detailed preface went through two rounds of reviewing and improvement and were carefully selected from 23 initial submisssions. The enhanced papers address all current issues in Web mining and social network analysis, including traditional Web and semantic Web applications, the emerging applications of the Web as a social medium, as well as social network modeling and analysis.


clustering collaborative rating data mining dynamics graph labeling graph mining knowledge knowledge discovery mathematical analysis modeling semantic web social network mining social networks spectral clust web mining

Editors and affiliations

  • Haizheng Zhang
    • 1
  • Myra Spiliopoulou
    • 2
  • Bamshad Mobasher
    • 3
  • C. Lee Giles
    • 4
  • Andrew McCallum
    • 5
  • Olfa Nasraoui
    • 6
  • Jaideep Srivastava
    • 7
  • John Yen
    • 8
  1. 1.One Microsoft WayRedmondUSA
  2. 2.Faculty of Computer ScienceOtto von Guericke University MagdeburgMagdeburgGermany
  3. 3.School of Computing Science, Telecommunications Information SystemsDePaul UniversityChicagoUSA
  4. 4.College of Information Science and TechnologyPennsylvania State UniversityUniversity ParkUSA
  5. 5.Department of Computer ScienceUniversity of MassachusettsAmherstUSA
  6. 6.Computer Engineering and Computer Science DepartmentUniversity of LouisvilleLouisvilleUSA
  7. 7.Department of Computer Science and EngineeringUniversity of MinnesotaMinneapolisUSA
  8. 8.College of Information Sciences and TechnologyThe Pennsylvania State UniversityUnversity ParkUSA

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