10 search results - page 2 / 2 » Inductive Databases and Multiple Uses of Frequent Itemsets: ... |
DAWAK
2009
Springer
13 years 9 months ago
2009
Springer
Since transaction identifiers (ids) are unique and would not usually be frequent, mining frequent patterns with transaction ids, showing records they occurred in, provides an effic...
EDBT
2008
ACM
14 years 5 months ago
2008
ACM
There has been much recent interest in on-line data mining. Existing mining algorithms designed for stored data are either not applicable or not effective on data streams, where r...
DAWAK
2004
Springer
13 years 9 months ago
2004
Springer
Mining association rule in event sequences is an important data mining problem with many applications. Most of previous studies on association rules are on mining intra-transaction...
BMCBI
2011
13 years 9 days ago
2011
Background: Remote homology detection is a hard computational problem. Most approaches have trained computational models by using either full protein sequences or multiple sequenc...
KDD
2007
ACM
13 years 11 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...