167 search results - page 11 / 34 » Research issues in data stream association rule mining |
DMKD
1997
ACM
13 years 11 months ago
1997
ACM
Clustering in data mining is a discovery process that groups a set of data such that the intracluster similarity is maximized and the intercluster similarity is minimized. These d...
WAIM
2010
Springer
13 years 5 months ago
2010
Springer
Huge time-series stream data are collected every day from many areas, and their trends may be impacted by outside events, hence biased from its normal behavior. This phenomenon is ...
KDD
2006
ACM
14 years 8 months ago
2006
ACM
Mining frequent closed itemsets provides complete and condensed information for non-redundant association rules generation. Extensive studies have been done on mining frequent clo...
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...
WAIM
2004
Springer
14 years 29 days ago
2004
Springer
Data mining extracts implicit, previously unknown and potentially useful information from databases. Many approaches have been proposed to extract information, and one of the most ...