Mining Contrast Inequalities in Numeric Dataset
- 1 January 2010
- conference paper
- conference paper
- Published by Springer Science and Business Media LLC in Lecture Notes in Computer Science
Abstract
No abstract availableThis publication has 15 references indexed in Scilit:
- Mining Class Contrast Functions by Gene Expression ProgrammingLecture Notes in Computer Science, 2009
- Mining statistically important equivalence classes and delta-discriminative emerging patternsPublished by Association for Computing Machinery (ACM) ,2007
- DeEPs: A New Instance-Based Lazy Discovery and Classification SystemMachine Learning, 2004
- Time Series Prediction Based on Gene Expression ProgrammingLecture Notes in Computer Science, 2004
- Evolving accurate and compact classification rules with gene expression programmingIEEE Transactions on Evolutionary Computation, 2003
- Simple rules underlying gene expression profiles of more than six subtypes of acute lymphoblastic leukemia (ALL) patientsBioinformatics, 2003
- Fast Algorithms for Mining Emerging PatternsLecture Notes in Computer Science, 2002
- An Efficient Single-Scan Algorithm for Mining Essential Jumping Emerging Patterns for ClassificationLecture Notes in Computer Science, 2002
- Making Use of the Most Expressive Jumping Emerging Patterns for ClassificationLecture Notes in Computer Science, 2000
- CAEP: Classification by Aggregating Emerging PatternsLecture Notes in Computer Science, 1999