295 search results - page 17 / 59 » Frequent regular itemset mining |
HIPC
2003
Springer
14 years 27 days ago
2003
Springer
Traditional methods for data mining typically make the assumption that data is centralized and static. This assumption is no longer tenable. Such methods waste computational and I/...
ICDM
2005
IEEE
14 years 1 months ago
2005
IEEE
Frequent itemset mining is a core data mining operation and has been extensively studied over the last decade. This paper takes a new approach for this problem and makes two major...
SIGCOMM
2010
ACM
13 years 7 months ago
2010
ACM
Finding the root-cause of a network security anomaly is essential for network operators. In our recent work [1, 5], we introduced a generic technique that uses frequent itemset mi...
CORR
2010
Springer
13 years 5 months ago
2010
Springer
Mining association rules is a task of data mining, which extracts knowledge in the form of significant implication relation of useful items (objects) from a database. Mining multi...
FIMI
2003
13 years 9 months ago
2003
We present a depth-first algorithm, PatriciaMine, that discovers all frequent itemsets in a dataset, for a given support threshold. The algorithm is main-memory based and employs...