11 search results - page 1 / 3 » Genetic Learning of Membership Functions for Mining Fuzzy As... |
FUZZIEEE
2007
IEEE
13 years 10 months ago
2007
IEEE
— 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...
APIN
2006
13 years 4 months ago
2006
It is not an easy task to know a priori the most appropriate fuzzy sets that cover the domains of quantitative attributes for fuzzy association rules mining. In general, it is unre...
TEC
2008
13 years 4 months ago
2008
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 data i...
FUZZIEEE
2007
IEEE
13 years 10 months ago
2007
IEEE
—In the past, we proposed a genetic-fuzzy data-mining algorithm for extracting both association rules and membership functions from quantitative transactions under a single minim...
GRC
2010
IEEE
13 years 2 months ago
2010
IEEE
This paper surveys some genetic-fuzzy data mining techniques for mining both membership functions and fuzzy association rules. The motivation from crisp mining to fuzzy mining wil...