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» Fuzzy sets in machine learning and data mining
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ASC
2011
13 years 2 months ago
A rough set approach to multiple dataset analysis
In the area of data mining, the discovery of valuable changes and connections (e.g., causality) from multiple data sets has been recognized as an important issue. This issue essen...
Ken Kaneiwa
KDD
1998
ACM
212views Data Mining» more  KDD 1998»
13 years 11 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
1995
ACM
128views Data Mining» more  KDD 1995»
13 years 11 months ago
Discovery of Concurrent Data Models from Experimental Tables: A Rough Set Approach
The main objective of machine discovery is the determination of relations between data and of data models. In the paper we describe a method for discovery of data models represent...
Andrzej Skowron, Zbigniew Suraj
PAKDD
1998
ACM
158views Data Mining» more  PAKDD 1998»
13 years 11 months ago
Data Mining Using Dynamically Constructed Recurrent Fuzzy Neural Networks
Abstract. Approaches to data mining proposed so far are mainly symbolic decision trees and numerical feedforward neural networks methods. While decision trees give, in many cases, ...
Yakov Frayman, Lipo Wang
JMLR
2010
125views more  JMLR 2010»
13 years 2 months ago
On utility of gene set signatures in gene expression-based cancer class prediction
Machine learning methods that can use additional knowledge in their inference process are central to the development of integrative bioinformatics. Inclusion of background knowled...
Minca Mramor, Marko Toplak, Gregor Leban, Tomaz Cu...