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KDD
1998
ACM
442views Data Mining» more  KDD 1998»
15 years 6 months ago
BAYDA: Software for Bayesian Classification and Feature Selection
BAYDA is a software package for flexible data analysis in predictive data mining tasks. The mathematical model underlying the program is based on a simple Bayesian network, the Na...
Petri Kontkanen, Petri Myllymäki, Tomi Siland...
PRL
2008
81views more  PRL 2008»
15 years 1 months ago
Selecting and constructing features using grammatical evolution
A novel method for feature selection and construction is introduced. The method improves the classification accuracy, utilizing the well-established technique of grammatical evolu...
Dimitris Gavrilis, Ioannis G. Tsoulos, Evangelos D...
127
Voted
ICPR
2002
IEEE
16 years 2 months ago
Feature Selection Using Multi-Objective Genetic Algorithms for Handwritten Digit Recognition
This paper discusses the use of genetic algorithm for feature selection for handwriting recognition. Its novelty lies in the use of a multi-objective genetic algorithms where sens...
Luiz E. Soares de Oliveira, Robert Sabourin, Fl&aa...
104
Voted
ADMA
2006
Springer
139views Data Mining» more  ADMA 2006»
15 years 7 months ago
Semantic Scoring Based on Small-World Phenomenon for Feature Selection in Text Mining
This paper proposes an effective scoring scheme for feature selection in Text Mining, using characteristics of Small-World Phenomenon on the semantic networks of documents. Our foc...
Chong Huang, YongHong Tian, Tiejun Huang, Wen Gao
125
Voted
AICT
2008
IEEE
15 years 3 months ago
Towards Efficient Service Placement and Server Selection for Large-Scale Deployments
Currently many service providers offer their services using a private and proprietary hard- and software infrastructure. These infrastructures often share many similarities. Hence...
Jeroen Famaey, Tim Wauters, Filip De Turck, Bart D...