84 search results - page 4 / 17 » Finding Representative Association Rules from Large Rule Col... |
ACSW
2004
13 years 9 months ago
2004
Practical knowledge discovery is an iterative process. First, the experiences gained from one mining run are used to inform the parameter setting and the dataset and attribute sel...
KAIS
2008
13 years 7 months ago
2008
Abstract. Quantitative Association Rule (QAR) mining has been recognized an influential research problem over the last decade due to the popularity of quantitative databases and th...
ICMCS
2009
IEEE
13 years 5 months ago
2009
IEEE
Time series pattern mining (TSPM) finds correlations or dependencies in same series or in multiple time series. When the numerous instances of multiple time series data are associ...
APIN
2006
13 years 8 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...
ESWA
2006
13 years 7 months ago
2006
Mining association rules and mining sequential patterns both are to discover customer purchasing behaviors from a transaction database, such that the quality of business decision ...