70 search results - page 4 / 14 » Mining Frequent Binary Expressions |
CINQ
2004
Springer
14 years 29 days ago
2004
Springer
Abstract. Data mining algorithms such as the Apriori method for finding frequent sets in sparse binary data can be used for efficient computation of a large number of summaries fr...
VLDB
1999
ACM
13 years 11 months ago
1999
ACM
Discovering sequential patterns is an important problem in data mining with a host of application domains including medicine, telecommunications, and the World Wide Web. Conventio...
DKE
2007
13 years 7 months ago
2007
Previous studies on mining sequential patterns have focused on temporal patterns specified by some form of propositional temporal logic. However, there are some interesting seque...
KDD
2004
ACM
14 years 8 months ago
2004
ACM
The goal of this paper is to show that generalizing the notion of support can be useful in extending association analysis to non-traditional types of patterns and non-binary data....
EDBT
2011
ACM
12 years 11 months ago
2011
ACM
Most known frequent item set mining algorithms work by enumerating candidate item sets and pruning infrequent candidates. An alternative method, which works by intersecting transa...