58 search results - page 1 / 12 » A survey on algorithms for mining frequent itemsets over dat... |
KAIS
2008
13 years 4 months ago
2008
The increasing prominence of data streams arising in a wide range of advanced applications such as fraud detection and trend learning has led to the study of online mining of freq...
IEAAIE
2009
Springer
13 years 11 months ago
2009
Springer
Data mining refers to the process of revealing unknown and potentially useful information from a large database. Frequent itemsets mining is one of the foundational problems in dat...
ICDE
2008
IEEE
14 years 5 months ago
2008
IEEE
Mining frequent itemsets from data streams has proved to be very difficult because of computational complexity and the need for real-time response. In this paper, we introduce a no...
KDD
2006
ACM
14 years 4 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...
CIKM
2009
Springer
13 years 11 months ago
2009
Springer
Mining frequent itemsets in data streams is beneficial to many real-world applications but is also a challenging task since data streams are unbounded and have high arrival rates...