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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 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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