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» Evaluation of Sampling for Data Mining of Association Rules
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KDD
2001
ACM
226views Data Mining» more  KDD 2001»
16 years 6 months ago
Mining from open answers in questionnaire data
Surveys are an important part of marketing and customer relationship management, and open answers (i.e., answers to open questions) in particular may contain valuable information ...
Hang Li, Kenji Yamanishi
TITB
2008
178views more  TITB 2008»
15 years 6 months ago
Automated Diagnosis of Coronary Artery Disease Based on Data Mining and Fuzzy Modeling
A fuzzy rule-based decision support system (DSS) is presented for the diagnosis of coronary artery disease (CAD). The system is automatically generated from an initial annotated da...
Markos G. Tsipouras, Themis P. Exarchos, Dimitrios...
227
Voted
BMCBI
2011
14 years 9 months ago
To aggregate or not to aggregate high-dimensional classifiers
Background: High-throughput functional genomics technologies generate large amount of data with hundreds or thousands of measurements per sample. The number of sample is usually m...
Cheng-Jian Xu, Huub C. J. Hoefsloot, Age K. Smilde
149
Voted
ML
2008
ACM
15 years 6 months ago
Discovering significant patterns
Pattern discovery techniques, such as association rule discovery, explore large search spaces of potential patterns to find those that satisfy some user-specified constraints. Due...
Geoffrey I. Webb
ICPR
2008
IEEE
16 years 17 days ago
Three related types of multi-value association patterns
Mining patterns involving multiple values that are significantly relevant is a difficult but very important problem that crosses many disciplines. Multi-value association patterns...
Thomas W. H. Lui, David K. Y. Chiu