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IJCNN
2006
IEEE
16 years 5 days ago
Nominal-scale Evolving Connectionist Systems
— A method is presented for extending the Evolving Connectionist System (ECoS) algorithm that allows it to explicitly represent and learn nominal-scale data without the need for ...
Michael J. Watts
CVPR
2007
IEEE
16 years 8 months ago
Feature Mining for Image Classification
The efficiency and robustness of a vision system is often largely determined by the quality of the image features available to it. In data mining, one typically works with immense...
Piotr Dollár, Zhuowen Tu, Hai Tao, Serge Be...
ICDM
2003
IEEE
136views Data Mining» more  ICDM 2003»
15 years 11 months ago
Statistical Relational Learning for Document Mining
A major obstacle to fully integrated deployment of many data mining algorithms is the assumption that data sits in a single table, even though most real-world databases have compl...
Alexandrin Popescul, Lyle H. Ungar, Steve Lawrence...
PKDD
2007
Springer
87views Data Mining» more  PKDD 2007»
16 years 8 days ago
Visual Exploration of Genomic Data
Abstract. In this study, we present methods for comparative visualization of DNA sequences in two dimensions. First, we illustrate a transformation of gene sequences into numerical...
Michail Vlachos, Bahar Taneri, Eamonn J. Keogh, Ph...
179
Voted
FUZZIEEE
2007
IEEE
16 years 15 days ago
Genetic Learning of Membership Functions for Mining Fuzzy Association Rules
— Data mining is most commonly used in attempts to induce association rules from transaction data. Most previous studies focused on binary-valued transaction data. Transaction da...
Rafael Alcalá, Jesús Alcalá-F...