98 search results - page 15 / 20 » Parallel Mining of Maximal Frequent Itemsets from Databases |
DEXA
2004
Springer
14 years 1 months ago
2004
Springer
Two important constraints of association rule mining algorithm are support and confidence. However, such constraints-based algorithms generally produce a large number of redundant ...
KDD
2004
ACM
14 years 8 months ago
2004
ACM
This paper introduces support envelopes--a new tool for analyzing association patterns--and illustrates some of their properties, applications, and possible extensions. Specifical...
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...
DASFAA
2007
IEEE
14 years 1 months ago
2007
IEEE
Networks of thousands of sensors present a feasible and economic solution to some of our most challenging problems, such as real-time traffic modeling, military sensing and trackin...
KDD
1999
ACM
13 years 12 months ago
1999
ACM
We introduce a new kind of patterns, called emerging patterns (EPs), for knowledge discovery from databases. EPs are defined as itemsets whose supports increase significantly from...