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ORCID4th KDD 1998: New York City, New York, USA
- Rakesh Agrawal, Paul E. Stolorz, Gregory Piatetsky-Shapiro:
Proceedings of the Fourth International Conference on Knowledge Discovery and Data Mining (KDD-98), New York City, New York, USA, August 27-31, 1998. AAAI Press 1998, ISBN 1-57735-070-7
Technical Papers
- Khaled Alsabti, Sanjay Ranka, Vineet Singh:
CLOUDS: A Decision Tree Classifier for Large Datasets. 2-8 - Paul S. Bradley, Usama M. Fayyad, Cory Reina:
Scaling Clustering Algorithms to Large Databases. 9-15 - Gautam Das, King-Ip Lin, Heikki Mannila, Gopal Renganathan, Padhraic Smyth:
Rule Discovery from Time Series. 16-22 - Gautam Das, Heikki Mannila, Pirjo Ronkainen:
Similarity of Attributes by External Probes. 23-29 - Luc Dehaspe, Hannu Toivonen, Ross D. King:
Finding Frequent Substructures in Chemical Compounds. 30-36 - Pedro M. Domingos:
Occam's Two Razors: The Sharp and the Blunt. 37-43 - Martin Ester, Alexander Frommelt, Hans-Peter Kriegel, Jörg Sander:
Algorithms for Characterization and Trend Detection in Spatial Databases. 44-50 - Valery Guralnik, Duminda Wijesekera, Jaideep Srivastava:
Pattern Directed Mining of Sequence Data. 51-57 - Alexander Hinneburg, Daniel A. Keim:
An Efficient Approach to Clustering in Large Multimedia Databases with Noise. 58-65 - Wenke Lee, Salvatore J. Stolfo, Kui W. Mok:
Mining Audit Data to Build Intrusion Detection Models. 66-72 - Charles X. Ling, Chenghui Li:
Data Mining for Direct Marketing: Problems and Solutions. 73-79 - Bing Liu, Wynne Hsu, Yiming Ma:
Integrating Classification and Association Rule Mining. 80-86 - Gholamreza Nakhaeizadeh, Charles C. Taylor, Carsten Lanquillon:
Evaluating Usefulness for Dynamic Classification. 87-93 - Balaji Padmanabhan, Alexander Tuzhilin:
A Belief-Driven Method for Discovering Unexpected Patterns. 94-100 - Greg Ridgeway, David Madigan, Thomas Richardson, John O'Kane:
Interpretable Boosted Naïve Bayes Classification. 101-104 - Martin Staudt, Jörg-Uwe Kietz, Ulrich Reimer:
A Data Mining Support Environment and its Application on Insurance Data. 105-111 - Evan W. Steeg, Derek A. Robinson, Ed Willis:
Coincidence Detection: A Fast Method for Discovering Higher-Order Correlations in Multidimensional Data. 112-120 - Ke Wang, Soon Hock William Tay, Bing Liu:
Interestingness-Based Interval Merger for Numeric Association Rules. 121-128
Poster Papers
- Charu C. Aggarwal, Zheng Sun, Philip S. Yu:
Online Generation of Profile Association Rules. 129-133 - Brigham S. Anderson, Andrew W. Moore:
ADtrees for Fast Counting and for Fast Learning of Association Rules. 134-138 - Stefan Berchtold, H. V. Jagadish, Kenneth A. Ross:
Independence Diagrams: A Technique for Visual Data Mining. 139-143 - Siddhartha Bhattacharyya:
Direct Marketing Response Models Using Genetic Algorithms. 144-148 - José Luis Cabral de Moura Borges, Mark Levene:
Mining Association Rules in Hypertext Databases. 149-153 - John V. Carlis, Elizabeth Shoop, Scott Krieger:
Blurring the Distinction between Command and Data in Scientific KDD. 154-158 - Ernest P. Chan, Santiago Garcia, Salim Roukos:
Probabilistic Modeling for Information Retrieval with Unsupervised Training Data. 159-163 - Philip K. Chan, Salvatore J. Stolfo:
Toward Scalable Learning with Non-Uniform Class and Cost Distributions: A Case Study in Credit Card Fraud Detection. 164-168 - William W. Cohen, Haym Hirsh:
Joins that Generalize: Text Classification Using WHIRL. 169-173 - Corinna Cortes, Daryl Pregibon:
Giga-Mining. 174-178 - Anne Debregeas, Georges Hébrail:
Interactive Interpretation of Kohonen Maps Applied to Curves. 179-183 - Carmel Domshlak, D. Gershkovich, Ehud Gudes, N. Liusternik, Amnon Meisels, Tzachi Rosen, Solomon Eyal Shimony:
FlexiMine - A Flexible Platform for KDD Research and Application Construction. 184-188 - William DuMouchel, Matthias Schonlau:
A Fast Computer Intrusion Detection Algorithm Based on Hypothesis Testing of Command Transition Probabilities. 189-193 - Usama M. Fayyad, Cory Reina, Paul S. Bradley:
Initialization of Iterative Refinement Clustering Algorithms. 194-198 - A. J. Feelders, Soong Chang, Geoffrey J. McLachlan:
Mining in the Presence of Selectivity Bias and its Application to Reject Inference. 199-203 - Goetz Graefe, Usama M. Fayyad, Surajit Chaudhuri:
On the Efficient Gathering of Sufficient Statistics for Classification from Large SQL Databases. 204-208 - Dan L. Grecu, Lee A. Becker:
Coactive Learning for Distributed Data Mining. 209-213 - Jiawei Han, Wan Gong, Yiwen Yin:
Mining Segment-Wise Periodic Patterns in Time-Related Databases. 214-218 - Simon Handley, Pat Langley, Folke A. Rauscher:
Learning to Predict the Duration of an Automobile Trip. 219-223 - Theodore Johnson, Ivy Kwok, Raymond T. Ng:
Fast Computation of 2-Dimensional Depth Contours. 224-228 - Theodore Johnson, Tamraparni Dasu:
Comparing Massive High-Dimensional Data Sets. 229-233 - Mark G. Kelly, David J. Hand, Niall M. Adams:
Defining the Goals to Optimise Data Mining Performance. 234-238 - Eamonn J. Keogh, Michael J. Pazzani:
An Enhanced Representation of Time Series Which Allows Fast and Accurate Classification, Clustering and Relevance Feedback. 239-243 - Randy Kerber, Hal Beck, Tej Anand, Bill Smart:
Active Templates: Comprehensive Support for the Knowledge Discovery Process. 244-248 - Ron Kohavi, Dan Sommerfield:
Targeting Business Users with Decision Table Classifiers. 249-253 - Petri Kontkanen, Petri Myllymäki, Tomi Silander, Henry Tirri:
BAYDA: Software for Bayesian Classification and Feature Selection. 254-258 - Terran Lane, Carla E. Brodley:
Approaches to Online Learning and Concept Drift for User Identification in Computer Security. 259-263 - Sofus A. Macskassy, Arunava Banerjee, Brian D. Davison, Haym Hirsh:
Human Performance on Clustering Web Pages: A Preliminary Study. 264-268 - Sally I. McClean, Bryan W. Scotney, Mary Shapcott:
Aggregation of Imprecise and Uncertain Information for Knowledge Discovery in Databases. 269-273 - Nimrod Megiddo, Ramakrishnan Srikant:
Discovering Predictive Association Rules. 274-278 - John E. Moody, Matthew Saffell:
Reinforcement Learning for Trading Systems and Portfolios. 279-283 - Tadeusz Morzy, Maciej Zakrzewicz:
Group Bitmap Index: A Structure for Association Rules Retrieval. 284-288 - Gholamreza Nakhaeizadeh, Alexander Schnabl:
Towards the Personalization of Algorithms Evaluation in Data Mining. 289-293 - Tim Oates, David D. Jensen:
Large Datasets Lead to Overly Complex Models: An Explanation and a Solution. 294-298 - Jonathan J. Oliver, Ted Roush, Paul Gazis, Wray L. Buntine, Rohan A. Baxter, Steven R. Waterhouse:
Analysing Rock Samples for the Mars Lander. 299-303 - Srinivasan Parthasarathy, Mohammed Javeed Zaki, Wei Li:
Memory Placement Techniques for Parallel Association Mining. 304-308 - José C. Pinheiro, Don X. Sun:
Methods for Linking and Mining Massive Heterogeneous Databases. 309-313 - Andreas L. Prodromidis, Salvatore J. Stolfo:
Mining Databases with Different Schemas: Integrating Incompatible Classifiers. 314-318 - R. Bharat Rao, Scott Rickard, Frans Coetzee:
Time Series Forecasting from High-Dimensional Data with Multiple Adaptive Layers. 319-323 - Saharon Rosset:
Ranking - Methods for Flexible Evaluation and Efficient Comparison of Classification Performance. 324-328 - Lisa Singh, Bin Chen, Rebecca Haight, Peter Scheuermann, Kiyoko Aoki:
A Robust System Architecture for Mining Semi-Structured Data. 329-333 - Ramesh Subramonian:
Defining diff as a Data Mining Primitive. 334-338 - Einoshin Suzuki:
Simultaneous Reliability Evaluation of Generality and Accuracy for Rule Discovery in Databases. 339-343 - Shiby Thomas, Sunita Sarawagi:
Mining Generalized Association Rules and Sequential Patterns Using SQL Queries. 344-348 - Hui Wang, Ivo Düntsch, David A. Bell:
Data Reduction Based on Hyper Relations. 349-353 - Andreas S. Weigend, Fei Chen, Stephen Figlewski, Steven R. Waterhouse:
Discovering Technical Traders in the T-bond Futures Market. 354-358 - Gary M. Weiss, Haym Hirsh:
Learning to Predict Rare Events in Event Sequences. 359-363 - Beat Wüthrich, D. Permunetilleke, Steven Leung, Vincent Cho, Jian Zhang, W. Lam:
Daily Prediction of Major Stock Indices from Textual WWW Data. 364-368 - Mohammed Javeed Zaki, Neal Lesh, Mitsunori Ogihara:
PlanMine: Sequence Mining for Plan Failures. 369-374
Conference Report
- Arnold Goodman, John F. Elder IV:
Knowledge Discovery and the Interface of Computing and Statistics. 375-378
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