214 search results - page 8 / 43 » New Parallel Algorithms for Frequent Itemset Mining in Very ... |
KDD
2004
ACM
14 years 7 months ago
2004
ACM
Frequent itemset mining has been the subject of a lot of work in data mining research ever since association rules were introduced. In this paper we address a problem with frequen...
FIMI
2003
13 years 8 months ago
2003
We present a performance study of the MAFIA algorithm for mining maximal frequent itemsets from a transactional database. In a thorough experimental analysis, we isolate the effec...
KDD
2006
ACM
14 years 7 months ago
2006
ACM
In this work we focus on the problem of frequent itemset mining on large, out-of-core data sets. After presenting a characterization of existing out-of-core frequent itemset minin...
ICDE
2003
IEEE
14 years 8 months ago
2003
IEEE
The output of boolean association rule mining algorithms is often too large for manual examination. For dense datasets, it is often impractical to even generate all frequent items...
KDD
1997
ACM
13 years 11 months ago
1997
ACM
Discovery of association rules is an important problem in database mining. In this paper we present new algorithms for fast association mining, which scan the database only once, ...