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» Incremental Extraction of Association Rules in Applicative D...
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FUZZIEEE
2007
IEEE
15 years 6 months 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...
DOLAP
2006
ACM
15 years 5 months ago
Enhanced mining of association rules from data cubes
On-line analytical processing (OLAP) provides tools to explore and navigate into data cubes in order to extract interesting information. Nevertheless, OLAP is not capable of expla...
Riadh Ben Messaoud, Sabine Loudcher Rabaséd...
ICEIS
2009
IEEE
15 years 6 months ago
NARFO Algorithm: Mining Non-redundant and Generalized Association Rules Based on Fuzzy Ontologies
Traditional approaches for mining generalized association rules are based only on database contents, and focus on exact matches among items. However, in many applications, the use ...
Rafael Garcia Miani, Cristiane A. Yaguinuma, Maril...
CIKM
2009
Springer
15 years 4 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
ICONIP
2009
14 years 9 months ago
Fuzzy Decision Tree Induction Approach for Mining Fuzzy Association Rules
Decision Tree Induction (DTI), one of the Data Mining classification methods, is used in this research for predictive problem solving in analyzing patient medical track records. In...
Rolly Intan, Oviliani Yenty Yuliana