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» On Pairwise Naive Bayes Classifiers
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KDD
2004
ACM
196views Data Mining» more  KDD 2004»
15 years 10 months ago
Adversarial classification
Essentially all data mining algorithms assume that the datagenerating process is independent of the data miner's activities. However, in many domains, including spam detectio...
Nilesh N. Dalvi, Pedro Domingos, Mausam, Sumit K. ...
GECCO
2006
Springer
214views Optimization» more  GECCO 2006»
15 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...
SDM
2008
SIAM
136views Data Mining» more  SDM 2008»
14 years 11 months ago
Exploration and Reduction of the Feature Space by Hierarchical Clustering
In this paper we propose and test the use of hierarchical clustering for feature selection. The clustering method is Ward's with a distance measure based on GoodmanKruskal ta...
Dino Ienco, Rosa Meo
SEBD
2008
169views Database» more  SEBD 2008»
14 years 11 months ago
Clustering the Feature Space
Abstract Dino Ienco and Rosa Meo Dipartimento di Informatica, Universit`a di Torino, Italy In this paper we propose and test the use of hierarchical clustering for feature selectio...
Dino Ienco, Rosa Meo
COMSIS
2011
14 years 1 months ago
Ontology-based multi-label classification of economic articles
The paper presents an approach to the task of automatic document categorization in the field of economics. Since the documents can be annotated with multiple keywords (labels), we ...
Sergeja Vogrincic, Zoran Bosnic