SIGKDD Explorations, Volume 2

Volume 2, Number 1, June 2000

• 
  Paul S. Bradley, Sunita Sarawagi, Usama M. Fayyad:
  Editorial.

Contributed Articles on "Internet Data Mining"

• 
  Raymond Kosala, Hendrik Blockeel:
  Web Mining Research: A Survey. 1-15
• 
  Yiming Ma, Bing Liu, Ching Kian Wong:
  Web for Data Mining: Organizing and Interpreting the Discovered Rules using the Web. 16-23
• 
  Sunita Sarawagi, Sree Hari Nagaralu:
  Data Mining Models as Services on the Internet. 24-28
• 
  Stanley Loh, Leandro Krug Wives, José Palazzo Moreira de Oliveira:
  Concept-Based Knowledge Discovery in Texts Extracted from the Web. 29-39
• 
  José Luis Cabral de Moura Borges, Mark Levene:
  A Fine Grained Heuristic to Capture Web Navigation Patterns. 40-50

Contributed articles

• 
  Fredrik Farnstrom, James Lewis, Charles Elkan:
  Scalability for Clustering Algorithms Revisited. 51-57
• 
  Jochen Hipp, Ulrich Güntzer, Gholamreza Nakhaeizadeh:
  Algorithms for Association Rule Mining - A General Survey and Comparison. 58-64
• 
  Alex Alves Freitas:
  Understanding the Crucial Differences Between Classification and Discovery of Association Rules - A Position Paper. 65-69

Workshop Reports

• 
  Jeanne Behnke, Elaine R. Dobinson:
  NASA Workshop on Issues in the Application of Data Mining to Scientific Data. 70-79
• 
  Dan Suciu, Gottfried Vossen:
  Report on WebDB'2000: 3rd International Workshop on the Web and Databases. 80-82
• 
  Dimitrios Gunopulos, Rajeev Rastogi:
  Workshop Report: 2000 ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery. 83-84

Volume 2, Number 2, December 2000

• 
  Paul S. Bradley, Usama M. Fayyad, Sunita Sarawagi, Kyuseok Shim:
  Editorial.

Scalable Data Mining

• 
  Kristin P. Bennett, Colin Campbell:
  Support Vector Machines: Hype or Hallelujah? 1-13
• 
  Jiawei Han, Jian Pei:
  Mining Frequent Patterns by Pattern-Growth: Methodology and Implications. 14-20
• 
  Laks V. S. Lakshmanan, Carson Kai-Sang Leung, Raymond T. Ng:
  The Segment Support Map: Scalable Mining of Frequent Itemsets. 21-27
• 
  Wei Wang, Jiong Yang, Philip S. Yu:
  Mining Patterns in Long Sequential Data with Noise. 28-33
• 
  George Forman, Bin Zhang:
  Distributed Data Clustering Can Be Efficient and Exact. 34-38
• 
  Minos N. Garofalakis, Rajeev Rastogi:
  Scalable Data Mining with Model Constraints. 39-48
• 
  Claudia Diamantini, Maurizio Panti:
  An Efficient Data Compression Approach to the Classification Task. 49-55
• 
  William Maniatty, Mohammed Javeed Zaki:
  Systems Support for Scalable Data Mining. 56-65
• 
  Yves Bastide, Rafik Taouil, Nicolas Pasquier, Gerd Stumme, Lotfi Lakhal:
  Mining Frequent Patterns with Counting Inference. 66-75
• 
  Gregory Piatetsky-Shapiro, Sam Steingold:
  Measuring Lift Quality in Database Marketing. 76-80
• 
  Stephen D. Bay, Dennis F. Kibler, Michael J. Pazzani, Padhraic Smyth:
  The UCI KDD Archive of Large Data Sets for Data Mining Research and Experimentation. 81-85

Reports from KDD-2000

• 
  Ron Kohavi, Carla E. Brodley, Brian Frasca, Llew Mason, Zijian Zheng:
  KDD-Cup 2000 Organizers' Report: Peeling the Onion. 86-98
• 
  Marko Grobelnik, Dunja Mladenic, Natasa Milic-Frayling:
  Text Mining as Integration of Several Related Research Areas: Report on KDD'2000 Workshop on Text Mining. 99-102
• 
  Simeon J. Simoff, Osmar R. Zaïane:
  Report on MDM/KDD2000: The 1st International Workshop on Multimedia Data Mining. 103-105
• 
  Myra Spiliopoulou, Jaideep Srivastava, Ron Kohavi, Brij M. Masand:
  WEBKDD 2000 - Web Mining for E-Commerce. 106-107
• 
  Hillol Kargupta, Joydeep Ghosh, Vipin Kumar, Zoran Obradovic:
  Report from the Workshop on Distributed and Parallel Knowledge Discovery, ACM SIGKDD-2000. 108-109
• 
  Ivan Bruha, Fazel Famili:
  Postprocessing in Machine Learning and Data Mining. 110-114
• 
  Alexander Tuzhilin:
  Report on the KDD2000 Panel Personalization and Data Mining: Exploring the Synergies. 115-116