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KDD
1998
ACM
140views Data Mining» more  KDD 1998»
13 years 12 months ago
Blurring the Distinction between Command and Data in Scientific KDD
We have been working on two different KDD systems for scientific data. One system involves comparative genomics, where the database contains more than 60,000 plant gene and protei...
John V. Carlis, Elizabeth Shoop, Scott Krieger
KDD
1998
ACM
185views Data Mining» more  KDD 1998»
13 years 12 months ago
Toward Scalable Learning with Non-Uniform Class and Cost Distributions: A Case Study in Credit Card Fraud Detection
Verylarge databases with skewedclass distributions and non-unlformcost per error are not uncommonin real-world data mining tasks. Wedevised a multi-classifier meta-learningapproac...
Philip K. Chan, Salvatore J. Stolfo
KDD
1998
ACM
212views Data Mining» more  KDD 1998»
13 years 12 months ago
Learning to Predict Rare Events in Event Sequences
Learning to predict rare events from sequences of events with categorical features is an important, real-world, problem that existing statistical and machine learning methods are ...
Gary M. Weiss, Haym Hirsh
KDD
1998
ACM
190views Data Mining» more  KDD 1998»
13 years 12 months ago
Mining Segment-Wise Periodic Patterns in Time-Related Databases
Periodicity search, that is, searchfor cyclicity in time-related databases, is an interesting data mining problem. Mostprevious studies have been on finding full-cycle periodicity...
Jiawei Han, Wan Gong, Yiwen Yin
KDD
1998
ACM
131views Data Mining» more  KDD 1998»
13 years 12 months ago
Interestingness-Based Interval Merger for Numeric Association Rules
We present an algorithm for mining association rules from relational tables containing numeric and categorical attributes. The approach is to merge adjacent intervals of numeric v...
Ke Wang, Soon Hock William Tay, Bing Liu