SIGKDD Explorations, Volume 2

Volume 2, Number 1, June 2000

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

• 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 Borges, Mark Levene:
  A Fine Grained Heuristic to Capture Web Navigation Patterns. 40-50
  

• 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
  

• 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.
  

• 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
  

• 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