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GECCO
2006
Springer
214views Optimization» more  GECCO 2006»
14 years 1 months ago
A new discrete particle swarm algorithm applied to attribute selection in a bioinformatics data set
Many data mining applications involve the task of building a model for predictive classification. The goal of such a model is to classify examples (records or data instances) into...
Elon S. Correa, Alex Alves Freitas, Colin G. Johns...
KDD
1995
ACM
167views Data Mining» more  KDD 1995»
14 years 1 months ago
Efficient Algorithms for Attribute-Oriented Induction
Data mining or knowledge discovery in databasesis the search for relationships and global patterns that exist but are hidden in large databases.Many different methodshave been pro...
Hoi-Yee Hwang, Ada Wai-Chee Fu
CIKM
2008
Springer
14 years 2 days ago
The role of syntactic features in protein interaction extraction
Most approaches for protein interaction mining from biomedical texts use both lexical and syntactic features. However, the individual impact of these two kinds of features on the ...
Timur Fayruzov, Martine De Cock, Chris Cornelis, V...
SDM
2008
SIAM
139views Data Mining» more  SDM 2008»
13 years 11 months ago
Proximity Tracking on Time-Evolving Bipartite Graphs
Given an author-conference network that evolves over time, which are the conferences that a given author is most closely related with, and how do they change over time? Large time...
Hanghang Tong, Spiros Papadimitriou, Philip S. Yu,...
SDM
2003
SIAM
156views Data Mining» more  SDM 2003»
13 years 11 months ago
Detection of Underrepresented Biological Sequences using Class-Conditional Distribution Models
A labeled sequence data set related to a certain biological property is often biased and, therefore, does not completely capture its diversity in nature. To reduce this sampling b...
Slobodan Vucetic, Dragoljub Pokrajac, Hongbo Xie, ...