165 search results - page 23 / 33 » Discovering Frequent Closed Itemsets for Association Rules |
IEAAIE
2009
Springer
14 years 2 months ago
2009
Springer
The process of knowledge discovery from databases is a knowledge intensive, highly user-oriented practice, thus has recently heralded the development of ontology-incorporated data ...
DAWAK
2001
Springer
14 years 5 days ago
2001
Springer
Data mining has been defined as the non- trivial extraction of implicit, previously unknown and potentially useful information from data. Association mining is one of the important...
DATAMINE
2008
13 years 7 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...
ICDM
2007
IEEE
14 years 2 months ago
2007
IEEE
A special challenge for spatial data mining is that information is not distributed uniformly in spatial data sets. Consequently, the discovery of regional knowledge is of fundamen...
ENC
2004
IEEE
13 years 11 months ago
2004
IEEE
Discovering patterns or frequent episodes in transactions is an important problem in data-mining for the purpose of infering deductive rules from them. Because of the huge size of...