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» Data Mining in the Bioinformatics Domain
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KDD
2002
ACM
104views Data Mining» more  KDD 2002»
14 years 9 months ago
Generalization Methods in Bioinformatics
Protein secondary structure prediction and high-throughput drug screen data mining are two important applications in bioinformatics. The data is represented in sparse feature spac...
Steven Eschrich, Nitesh V. Chawla, Lawrence O. Hal...
ICCS
2005
Springer
14 years 2 months ago
Querying a Bioinformatic Data Sources Registry with Concept Lattices
Abstract Bioinformatic data sources available on the web are multiple and heterogenous. The lack of documentation and the difficulty of interaction with these data banks require us...
Nizar Messai, Marie-Dominique Devignes, Amedeo Nap...
CCGRID
2005
IEEE
13 years 10 months ago
A semantic grid-based data access and integration service for bioinformatics
Given the heterogeneous nature of biological data and their intensive use in many tools, in this paper we propose a semantic data access and integration (DAI) service, based on th...
Giovanni Aloisio, Massimo Cafaro, Italo Epicoco, S...
SBACPAD
2003
IEEE
180views Hardware» more  SBACPAD 2003»
14 years 1 months ago
New Parallel Algorithms for Frequent Itemset Mining in Very Large Databases
Frequent itemset mining is a classic problem in data mining. It is a non-supervised process which concerns in finding frequent patterns (or itemsets) hidden in large volumes of d...
Adriano Veloso, Wagner Meira Jr., Srinivasan Parth...
HPDC
2010
IEEE
13 years 9 months ago
Data parallelism in bioinformatics workflows using Hydra
Large scale bioinformatics experiments are usually composed by a set of data flows generated by a chain of activities (programs or services) that may be modeled as scientific work...
Fábio Coutinho, Eduardo S. Ogasawara, Danie...