169 search results - page 24 / 34 » Mining Frequent Itemsets using Patricia Tries |
KDD
2002
ACM
14 years 7 months ago
2002
ACM
We introduce a new algorithm for mining sequential patterns. Our algorithm is especially efficient when the sequential patterns in the database are very long. We introduce a novel...
KDD
2008
ACM
14 years 7 months ago
2008
ACM
Transactional data are ubiquitous. Several methods, including frequent itemsets mining and co-clustering, have been proposed to analyze transactional databases. In this work, we p...
KDD
2007
ACM
14 years 1 months ago
2007
ACM
The support-confidence framework is the most common measure used in itemset mining algorithms, for its antimonotonicity that effectively simplifies the search lattice. This com...
IS
2010
13 years 5 months ago
2010
Most work on pattern mining focuses on simple data structures such as itemsets and sequences of itemsets. However, a lot of recent applications dealing with complex data like chem...
SPAA
1997
ACM
13 years 11 months ago
1997
ACM
Discovery of association rules is an important database mining problem. Mining for association rules involves extracting patterns from large databases and inferring useful rules f...