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Online Edition

• 
  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

Online Edition

• 
  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 D. 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

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