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» A Fuzzy Set Approach to Ecological Knowledge Discovery
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BIOSYSTEMS
2007
115views more  BIOSYSTEMS 2007»
13 years 6 months ago
Evolving fuzzy rules to model gene expression
This paper develops an algorithm that extracts explanatory rules from microarray data, which we treat as time series, using genetic programming (GP) and fuzzy logic. Reverse polis...
Ricardo Linden, Amit Bhaya
GIS
2008
ACM
14 years 7 months ago
Finding regional co-location patterns for sets of continuous variables in spatial datasets
This paper proposes a novel framework for mining regional colocation patterns with respect to sets of continuous variables in spatial datasets. The goal is to identify regions in ...
Christoph F. Eick, Jean-Philippe Nicot, Rachana Pa...
BMCBI
2007
190views more  BMCBI 2007»
13 years 6 months ago
Discriminative motif discovery in DNA and protein sequences using the DEME algorithm
Background: Motif discovery aims to detect short, highly conserved patterns in a collection of unaligned DNA or protein sequences. Discriminative motif finding algorithms aim to i...
Emma Redhead, Timothy L. Bailey
DAGSTUHL
2007
13 years 8 months ago
Discovering Knowledge from Local Patterns with Global Constraints
It is well known that local patterns are at the core of a lot of knowledge which may be discovered from data. Nevertheless, use of local patterns is limited by their huge number an...
Bruno Crémilleux, Arnaud Soulet
HICSS
2003
IEEE
171views Biometrics» more  HICSS 2003»
14 years 20 hour ago
Improving the Efficiency of Interactive Sequential Pattern Mining by Incremental Pattern Discovery
The discovery of sequential patterns, which extends beyond frequent item-set finding of association rule mining, has become a challenging task due to its complexity. Essentially, ...
Ming-Yen Lin, Suh-Yin Lee