214 search results - page 23 / 43 » New Parallel Algorithms for Frequent Itemset Mining in Very ... |
KDD
2007
ACM
14 years 7 months ago
2007
ACM
Frequent episode discovery is a popular framework for mining data available as a long sequence of events. An episode is essentially a short ordered sequence of event types and the...
CIKM
2009
Springer
13 years 4 months ago
2009
Springer
In this paper, we present a framework for mining diverging patterns, a new type of contrast patterns whose frequency changes significantly differently in two data sets, e.g., it c...
KDD
2004
ACM
14 years 7 months ago
2004
ACM
Many real life sequence databases, such as customer shopping sequences, medical treatment sequences, etc., grow incrementally. It is undesirable to mine sequential patterns from s...
FPL
2008
Springer
13 years 8 months ago
2008
Springer
Association Rules Mining (ARM) algorithms are designed to find sets of frequently occurring items in large databases. ARM applications have found their way into a variety of field...
SAC
2005
ACM
14 years 9 days ago
2005
ACM
In this paper, we describe a new approach for mining concept associations from large text collections. The concepts are short sequences of words that occur frequently together acr...