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Publication search results
found 66 matches
- 1997
- Gediminas Adomavicius, Alexander Tuzhilin:
Discovery of Actionable Patterns in Databases: The Action Hierarchy Approach. KDD 1997: 111-114 - Kamal Ali, Stefanos Manganaris, Ramakrishnan Srikant:
Partial Classification Using Association Rules. KDD 1997: 115-118 - John M. Aronis, Foster J. Provost:
Increasing the Efficiency of Data Mining Algorithms with Breadth-First Marker Propagation. KDD 1997: 119-122 - Roberto J. Bayardo Jr.:
Brute-Force Mining of High-Confidence Classification Rules. KDD 1997: 123-126 - Ulla Bergsten, Johan Schubert, Per Svensson:
Applying Data Mining and Machine Learning Techniques to Submarine Intelligence Analysis. KDD 1997: 127-130 - Christoph Breitner, Jörg Schlösser, Rüdiger Wirth:
Process-Based Database Support for the Early Indicator Method. KDD 1997: 131-134 - Clifford Brunk, James Kelly, Ron Kohavi:
MineSet: An Integrated System for Data Mining. KDD 1997: 135-138 - Jesús Cerquides, Ramón López de Mántaras:
Proposal and Empirical Comparison of a Parallelizable Distance-Based Discretization Method. KDD 1997: 139-142 - Jaturon Chattratichat, John Darlington, Moustafa Ghanem, Yike Guo, Harald Frank Hüning, Martin Köhler, Janjao Sutiwaraphun, Hing Wing To, Dan Yang:
Large Scale Data Mining: Challenges and Responses. KDD 1997: 143-146 - Steve A. Chien, Forest Fisher, Helen Mortensen, Edisanter Lo, Ronald Greeley:
Using Artificial Intelligence Planning to Automate Science Data Analysis for Large Image Databases. KDD 1997: 147-150 - Dennis DeCoste:
Mining Multivariate Time-Series Sensor Data to Discover Behavior Envelopes. KDD 1997: 151-154 - Mark Derthick, John Kolojejchick, Steven F. Roth:
An Interactive Visualization Environment for Data Exploration. KDD 1997: 2-9 - Pedro M. Domingos:
Why Does Bagging Work? A Bayesian Account and its Implications. KDD 1997: 155-158 - Harris Drucker:
Fast Committee Machines for Regression and Classification. KDD 1997: 159-162 - Robert Engels, Guido Lindner, Rudi Studer:
A Guided Tour through the Data Mining Jungle. KDD 1997: 163-166 - Martin Ester, Hans-Peter Kriegel, Jörg Sander, Xiaowei Xu:
Density-Connected Sets and their Application for Trend Detection in Spatial Databases. KDD 1997: 10-15 - Ronen Feldman, Yonatan Aumann, Amihood Amir, Amir Zilberstein, Willi Klösgen:
Maximal Association Rules: A New Tool for Mining for Keyword Co-Occurrences in Document Collections. KDD 1997: 167-170 - Ronen Feldman, Willi Klösgen, Amir Zilberstein:
Visualization Techniques to Explore Data Mining Results for Document Collections. KDD 1997: 16-23 - Gehad Galal, Diane J. Cook, Lawrence B. Holder:
Improving Scalability in a Scientific Discovery System by Exploiting Parallelism. KDD 1997: 171-174 - Udo Hahn, Klemens Schnattinger:
Deep Knowledge Discovery from Natural Language Texts. KDD 1997: 175-178 - Ira J. Haimowitz, Özden Gür-Ali, Henry Schwarz:
Integrating and Mining Distributed Customer Databases. KDD 1997: 179-182 - Jukka Hekanaho:
GA-Based Rule Enhancement in Concept Learning. KDD 1997: 183-186 - Thomas H. Hinke, John A. Rushing, Heggere S. Ranganath, Sara J. Graves:
Target-Independent Mining for Scientific Data: Capturing Transients and Trends for Phenomena Mining. KDD 1997: 187-190 - K. M. Ho, Paul D. Scott:
Zeta: A Global Method for Discretization of Continuous Variables. KDD 1997: 191-194 - Peter J. Huber:
From Large to Huge: A Statistician's Reactions to KDD & DM. KDD 1997: 304-308 - David D. Jensen, Matthew D. Schmill:
Adjusting for Multiple Comparisons in Decision Tree Pruning. KDD 1997: 195-198 - George H. John, Brian Lent:
SIPping from the Data Firehose. KDD 1997: 199-202 - Jonghyun Kahng, Wen-Hsiang Kevin Liao, Dennis McLeod:
Mining Generalized Term Associations: Count Propagation Algorithm. KDD 1997: 203-206 - Micheline Kamber, Jiawei Han, Jenny Chiang:
Metarule-Guided Mining of Multi-Dimensional Association Rules Using Data Cubes. KDD 1997: 207-210 - Hillol Kargupta, Ilker Hamzaoglu, Brian Stafford:
Scalable, Distributed Data Mining - An Agent Architecture. KDD 1997: 211-214
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