57 search results - page 1 / 12 » A further study in the data partitioning approach for freque... |
ADC
2006
Springer
14 years 5 months ago
2006
Springer
Frequent itemsets mining is well explored for various data types, and its computational complexity is well understood. Based on our previous work by Nguyen and Orlowska (2005), th...
IEAAIE
2009
Springer
14 years 5 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...
KAIS
2008
13 years 11 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...
CORR
2010
Springer
13 years 11 months ago
2010
Springer
In general frequent itemsets are generated from large data sets by applying association rule mining algorithms like Apriori, Partition, Pincer-Search, Incremental, Border algorithm...
KDD
2006
ACM
14 years 11 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...