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RSFDGRC
2007
Springer
236views Data Mining» more  RSFDGRC 2007»
16 years 25 days ago
Constructing Associative Classifier Using Rough Sets and Evidence Theory
Constructing accurate classifier based on association rule is an important and challenging task in data mining. In this paper, a novel combination strategy based on rough sets (RST...
Yuan-Chun Jiang, Ye-Zheng Liu, Xiao Liu, Jie-Kui Z...
TSD
2001
Springer
15 years 11 months ago
Method for WordNet Enrichment Using WSD
This paper presents a new method to enrich semantically WordNet with categories from general domain classification systems. The method is performed in two consecutive steps. First,...
Andrés Montoyo, Manuel Palomar, German Riga...
CLASSIFICATION
2008
73views more  CLASSIFICATION 2008»
15 years 6 months ago
Solving Non-Uniqueness in Agglomerative Hierarchical Clustering Using Multidendrograms
: In agglomerative hierarchical clustering, pair-group methods suffer from a problem of non-uniqueness when two or more distances between different clusters coincide during the ama...
Alberto Fernández, Sergio Gómez
ICRA
2006
IEEE
85views Robotics» more  ICRA 2006»
16 years 23 days ago
Design of Classifier to Automate the Evaluation of Protein Crystallization States
– This paper presents a method for designing classifier to automate an evaluation process of protein crystallization growth states. The classifier is designed by binary decision ...
Kanako Saitoh, Kuniaki Kawabata, Hajime Asama, Tak...
INFORMATICALT
2002
136views more  INFORMATICALT 2002»
15 years 6 months ago
Comparison of Poisson Mixture Models for Count Data Clusterization
Abstract. Five methods for count data clusterization based on Poisson mixture models are described. Two of them are parametric, the others are semi-parametric. The methods emlploy ...
Jurgis Susinskas, Marijus Radavicius