237 search results - page 3 / 48 » Mining Frequent Itemsets Using Re-Usable Data Structure |
KDD
2012
ACM
11 years 10 months ago
2012
ACM
In recent years, mining frequent itemsets over uncertain data has attracted much attention in the data mining community. Unlike the corresponding problem in deterministic data, th...
ICDM
2005
IEEE
14 years 1 months ago
2005
IEEE
In order to generate synthetic basket data sets for better benchmark testing, it is important to integrate characteristics from real-life databases into the synthetic basket data ...
JIIS
2007
13 years 7 months ago
2007
Mining frequent patterns on streaming data is a new challenging problem for the data mining community since data arrives sequentially in the form of continuous rapid streams. In t...
CORR
2010
Springer
13 years 7 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...
AUSDM
2007
Springer
14 years 1 months ago
2007
Springer
Mining frequent patterns such as frequent itemsets is a core operation in many important data mining tasks, such as in association rule mining. Mining frequent itemsets in high-di...