SIGKDD Explorations, Volume 1

Volume 1, Number 1, June 1999

• Usama M. Fayyad:
  Editorial. 1-3
  
• Won Kim:
  SIGKDD Chair's Message. 4-5
  

• George H. John:
  Behind-the-Scenes Data Mining: A Report on the KDD-98 Panel. 6-8
  
• Ismail Parsa:
  KDD-98 Exhibits Everview. 9-11
  
• Arnold Goodman:
  Report from Interface'98: Knowledge Discovery and the Interface of Computing and Statistics. 12-13
  
• John F. Elder IV:
  The Interface'98 Conference - a Resource for KDD. 14-15
  

• David J. Hand:
  Statistics and Data Mining: Intersecting Disciplines. 16-19
  
• John F. Roddick, Myra Spiliopoulou:
  A Bibliography of Temporal, Spatial and Spatio-Temporal Data Mining Research. 34-38
  
• Michael Goebel, Le Gruenwald:
  A Survey of Data Mining and Knowledge Discovery Software Tools. 20-33
  
• Thomas S. Gruca, Bruce R. Klemz, E. Ann Furr Petersen:
  Mining Sales Data using a Neural Network Model of Market Response. 39-43
  

• Karim K. Hirji:
  Discovering Data Mining: From Concept to Implementation (Book Review). 44-45
  

• News and Events. 46-49
  

Volume 1, Number 2, January 2000

• Title.
  

• Usama M. Fayyad:
  Editorial. i-ii
  

• Soumen Chakrabarti:
  Data mining for hypertext: A tutorial survey. 1-11
  
• Jaideep Srivastava, Robert Cooley, Mukund Deshpande, Pang-Ning Tan:
  Web Usage Mining: Discovery and Applications of Usage Patterns from Web Data. 12-23
  

• John McCarthy:
  Phenomenal Data Mining: From Data to Phenomena. 24-29
  
• Heikki Mannila:
  Theoretical Frameworks for Data Mining. 30-32
  
• Asim Roy:
  Artificial Neural Networks - A Science in Trouble . 33-38
  

• Gautam B. Singh:
  Discovering Matrix Association from Biological Databases. 39-45
  
• Khalil M. Ahmed, Nagwa M. El-Makky, Yousry I. Taha:
  A note on "Beyond Market Baskets: Generalizing Association Rules to Correlations". 46-48
  

• Surajit Chaudhuri, David Madigan, Usama M. Fayyad:
  KDD-99: The Fifth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. 49-51
  
• David Jensen:
  Data Snooping, Dredging and Fishing: The Dark Side of Data Mining, A SIGKDD99 Panel Report. 52-54
  
• Ron Kohavi, Mehran Sahami:
  Integrating Data Mining into Vertical Solutions. 55-58
  
• Gregory Piatetsky-Shapiro:
  Knowledge Discovery in Databases: Ten years after. 59-61
  
• J. Ross Quinlan:
  KDD-99 Panel on Last 10 and Next 10 years. 62
  
• Charles Elkan:
  Results of the KDD'99 Classifier Learning. 63-64
  
• Bernhard Pfahringer:
  Winning the KDD99 Classification Cup: Bagged Boosting. 65-66
  
• Itzhak Levin:
  KDD-99 Classifier Learning Contest: LLSoft's Results Overview. 67-75
  
• Vladimir Miheev, Alexei Vopilov, Ivan Shabalin:
  The MP13 Approach to the KDD'99 Classifier Learning Contest. 76-77
  
• Charles Elkan:
  KDD'99 Knowledge Discovery Contest. 78
  
• Jim Georges, Anne H. Milley:
  KDD'99 Competition: Knowledge Discovery Contest. 79-84
  
• Saharon Rosset, Aron Inger:
  KDD-Cup 99: Knowledge Discovery In a Charitable Organization's Donor Database. 85-90
  
• Paola Sebastiani, Marco Ramoni, Alexander Crea:
  Profiling your Customers using Bayesian Networks. 91-96
  

• Arnold Goodman:
  Interface '99: A Data Mining Overview. 97-104
  
• Harvey J. Miller, Jiawei Han:
  Discovering Geographic Knowledge in Data Rich Environments: A Report on a Specialist Meeting. 105-107
  
• Brij M. Masand, Myra Spiliopoulou:
  WebKDD-99: Workshop on Web Usage Analysis and User Profiling. 108-111
  
• Mohammed Javeed Zaki, Ching-Tien Ho:
  KDD-99 Workshop on Large-Scale Parallel KDD Systems. 112-114
  
• Kyuseok Shim, Ramakrishnan Srikant:
  Workshop Report: 1999 ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery. 115-116
  
• Daniel A. Keim, Alexander Hinneburg:
  Interesting KDD-News from SIGMOD'99. 117
  

• Mircea Gh. Negoita:
  Book Review: Data Mining Methods for Knowledge Discovery by K. Cios, W. Pedrycz and R. Swiniarski. 118-119
  

• News and Events. 120-124