38 search results - page 6 / 8 » Mining Association Rules in Graphs Based on Frequent Cohesiv... |
DATAMINE
2008
13 years 11 months ago
2008
Abstract. In this paper we aim at extending the non-derivable condensed representation in frequent itemset mining to sequential pattern mining. We start by showing a negative examp...
KDD
2008
ACM
14 years 11 months ago
2008
ACM
We present a prototype of an inductive database. Our system enables the user to query not only the data stored in the database but also generalizations (e.g. rules or trees) over ...
DMKD
1997
ACM
14 years 3 months ago
1997
ACM
Clustering in data mining is a discovery process that groups a set of data such that the intracluster similarity is maximized and the intercluster similarity is minimized. These d...
IJFCS
2008
13 years 11 months ago
2008
In data mining applications, highly sized contexts are handled what usually results in a considerably large set of frequent itemsets, even for high values of the minimum support t...
FIMI
2003
14 years 8 days ago
2003
Existing association rule mining algorithms suffer from many problems when mining massive transactional datasets. Some of these major problems are: (1) the repetitive I/O disk sca...