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» Data Mining for Genetics: A Genetic Algorithm Approach
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ISMVL
2009
IEEE
161views Hardware» more  ISMVL 2009»
15 years 11 months ago
Mining Approximative Descriptions of Sets Using Rough Sets
Using concepts from rough set theory we investigate the existence of approximative descriptions of collections of objects that can be extracted from data sets, a problem of intere...
Dan A. Simovici, Selim Mimaroglu
WABI
2007
Springer
110views Bioinformatics» more  WABI 2007»
15 years 11 months ago
Haplotype Inference Via Hierarchical Genotype Parsing
The within-species genetic variation due to recombinations leads to a mosaic-like structure of DNA. This structure can be modeled, e.g. by parsing sample sequences of current DNA w...
Pasi Rastas, Esko Ukkonen
SAC
2009
ACM
15 years 11 months ago
Capturing truthiness: mining truth tables in binary datasets
We introduce a new data mining problem: mining truth tables in binary datasets. Given a matrix of objects and the properties they satisfy, a truth table identifies a subset of pr...
Clifford Conley Owens III, T. M. Murali, Naren Ram...
KDD
2007
ACM
178views Data Mining» more  KDD 2007»
16 years 5 months ago
Density-based clustering for real-time stream data
Existing data-stream clustering algorithms such as CluStream are based on k-means. These clustering algorithms are incompetent to find clusters of arbitrary shapes and cannot hand...
Yixin Chen, Li Tu
IMECS
2007
15 years 6 months ago
A New Class Based Associative Classification Algorithm
—applying the association rule into classification can improve the accuracy and obtain some valuable rules and information that cannot be captured by other classification approac...
Zhonghua Tang, Qin Liao