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SAC
2010
ACM
14 years 4 months ago
A study on interestingness measures for associative classifiers
Associative classification is a rule-based approach to classify data relying on association rule mining by discovering associations between a set of features and a class label. Su...
Mojdeh Jalali Heravi, Osmar R. Zaïane
KDD
2002
ACM
184views Data Mining» more  KDD 2002»
15 years 10 months ago
Associative Classifiers for Medical Images
This paper presents two classification systems for medical images based on association rule mining. The system we propose consists of: a pre-processing phase, a phase for mining th...
Alexandru Coman, Maria-Luiza Antonie, Osmar R. Za&...
CIKM
2009
Springer
15 years 2 months ago
A novel approach for privacy mining of generic basic association rules
Data mining can extract important knowledge from large data collections - but sometimes these collections are split among various parties. Privacy concerns may prevent the parties...
Moez Waddey, Pascal Poncelet, Sadok Ben Yahia
ESWA
2008
128views more  ESWA 2008»
14 years 9 months ago
Mining the data from a hyperheuristic approach using associative classification
Associative classification is a promising classification approach that utilises association rule mining to construct accurate classification models. In this paper, we investigate ...
Fadi A. Thabtah, Peter I. Cowling
CEC
2010
IEEE
14 years 7 months ago
A grammar based Ant Programming algorithm for mining classification rules
This paper focuses on the application of a new ACO-based automatic programming algorithm to the classification task of data mining. This new model, called GBAP algorithm, is based ...
Juan Luis Olmo, José Raúl Romero, Se...