1231 search results - page 192 / 247 » Association Rules |
ICWE
2004
Springer
14 years 1 months ago
2004
Springer
Data mining includes four steps: data preparation, pattern mining, and pattern analysis and pattern application. But in web environment, the user activities become much more comple...
VLDB
2004
ACM
14 years 1 months ago
2004
ACM
1 Frequent itemset counting is the first step for most association rule algorithms and some classification algorithms. It is the process of counting the number of occurrences of ...
ICPPW
2003
IEEE
14 years 29 days ago
2003
IEEE
Recent work in high-performance computing has shifted attention to PC clusters.. For PC-clusters, member nodes are independent computers connected by generalpurpose networks. The ...
ICTAI
2003
IEEE
14 years 29 days ago
2003
IEEE
In this paper, we propose a parallel algorithm for mining maximal frequent itemsets from databases. A frequent itemset is maximal if none of its supersets is frequent. The new par...
SBACPAD
2003
IEEE
14 years 28 days ago
2003
IEEE
Frequent itemset mining is a classic problem in data mining. It is a non-supervised process which concerns in finding frequent patterns (or itemsets) hidden in large volumes of d...