214 search results - page 28 / 43 » New Parallel Algorithms for Frequent Itemset Mining in Very ... |
VLDB
1998
ACM
13 years 11 months ago
1998
ACM
This paper deals with finding outliers (exceptions) in large, multidimensional datasets. The identification of outliers can lead to the discovery of truly unexpected knowledge in ...
SIGMOD
1998
ACM
13 years 11 months ago
1998
ACM
Clustering, in data mining, is useful for discovering groups and identifying interesting distributions in the underlying data. Traditional clustering algorithms either favor clust...
ICDE
2012
IEEE
11 years 9 months ago
2012
IEEE
—Sequence analysis is very important in our daily life. Typically, each sequence is associated with an ordered list of elements. For example, in a movie rental application, a cus...
JCIT
2010
13 years 1 months ago
2010
Sequence mining is an important data mining task. In order to retrieve interesting sequences from a large database, a minimum support threshold is needed to be specified. Unfortun...
APIN
2008
13 years 6 months ago
2008
Abstract-Mining generalized association rules between items in the presence of taxonomy has been recognized as an important model in data mining. Earlier work on mining generalized...