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» Data Mining for Genetics: A Genetic Algorithm Approach
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151
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CSB
2005
IEEE
133views Bioinformatics» more  CSB 2005»
15 years 10 months ago
Creating a Protein Ontology Resource
Protein Data Integration approaches at the moment considers data sources as data repositories, but not as applications; which in turn may embody complex interactions with other da...
Amandeep S. Sidhu, Tharam S. Dillon, Elizabeth Cha...
HPCC
2005
Springer
15 years 10 months ago
High Performance Subgraph Mining in Molecular Compounds
Structured data represented in the form of graphs arises in several fields of the science and the growing amount of available data makes distributed graph mining techniques partic...
Giuseppe Di Fatta, Michael R. Berthold
161
Voted
PKDD
1999
Springer
103views Data Mining» more  PKDD 1999»
15 years 9 months ago
An Evolutionary Algorithm Using Multivariate Discretization for Decision Rule Induction
Abstract. We describe EDRL-MD, an evolutionary algorithm-based system, for learning decision rules from databases. The main novelty of our approach lies in dealing with continuous ...
Wojciech Kwedlo, Marek Kretowski
BMCBI
2011
14 years 8 months ago
Combinatorial analysis and algorithms for quasispecies reconstruction using next-generation sequencing
Background: Next-generation sequencing (NGS) offers a unique opportunity for high-throughput genomics and has potential to replace Sanger sequencing in many fields, including de-n...
Mattia C. F. Prosperi, Luciano Prosperi, Alessandr...
233
Voted
ICDM
2006
IEEE
139views Data Mining» more  ICDM 2006»
15 years 11 months ago
Unsupervised Clustering In Streaming Data
Tools for automatically clustering streaming data are becoming increasingly important as data acquisition technology continues to advance. In this paper we present an extension of...
Dimitris K. Tasoulis, Niall M. Adams, David J. Han...