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» Data Mining for Genetics: A Genetic Algorithm Approach
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BMCBI
2006
144views more  BMCBI 2006»
15 years 5 months ago
Association algorithm to mine the rules that govern enzyme definition and to classify protein sequences
Background: The number of sequences compiled in many genome projects is growing exponentially, but most of them have not been characterized experimentally. An automatic annotation...
Shih-Hau Chiu, Chien-Chi Chen, Gwo-Fang Yuan, Thy-...
ICDM
2009
IEEE
150views Data Mining» more  ICDM 2009»
15 years 2 months ago
Filtering and Refinement: A Two-Stage Approach for Efficient and Effective Anomaly Detection
Anomaly detection is an important data mining task. Most existing methods treat anomalies as inconsistencies and spend the majority amount of time on modeling normal instances. A r...
Xiao Yu, Lu An Tang, Jiawei Han
VIS
2006
IEEE
128views Visualization» more  VIS 2006»
16 years 6 months ago
Hierarchy-based 3-D Visualization of Homologous Gene Expression across Different Organisms
With the explosive growth of proteomic and expression data of homologous genes, it becomes necessary to explore new methods to visualize and analyze related gene expression data t...
Li Jin, Karl V. Steiner, Carl J. Schmidt, Keith...
SCAM
2008
IEEE
15 years 11 months ago
Constructing Subtle Faults Using Higher Order Mutation Testing
Traditional mutation testing considers only first order mutants, created by the injection of a single fault. Often these first order mutants denote trivial faults that are easil...
Yue Jia, Mark Harman
144
Voted
GECCO
2004
Springer
114views Optimization» more  GECCO 2004»
15 years 10 months ago
An Evolutionary Technique for Multicriterial Optimization Based on Endocrine Paradigm
Many evolutionary algorithms have been lately developed for solving multiobjective problems, appealing or not to the Pareto optimality concept. Although, the evolutionary technique...
Corina Rotar