352 search results - page 34 / 71 » Non-derivable itemset mining |
KDD
2003
ACM
14 years 8 months ago
2003
ACM
A data stream is a massive unbounded sequence of data elements continuously generated at a rapid rate. Consequently, the knowledge embedded in a data stream is more likely to be c...
CORR
2011
Springer
12 years 11 months ago
2011
Springer
Abstract—Set intersection is the core in a variety of problems, e.g. frequent itemset mining and sparse boolean matrix multiplication. It is well-known that large speed gains can...
KDD
1997
ACM
13 years 11 months ago
1997
ACM
Discovery of association rules is an important problem in database mining. In this paper we present new algorithms for fast association mining, which scan the database only once, ...
DAWAK
2005
Springer
14 years 1 months ago
2005
Springer
Data mining and machine learning must confront the problem of pattern maintenance because data updating is a fundamental operation in data management. Most existing data-mining alg...
JIIS
2008
13 years 7 months ago
2008
In this paper, we study the incremental update of Frequent Closed Itemsets (FCIs) over a sliding window in a high-speed data stream. We propose the notion of semi-FCIs, which is to...