214 search results - page 22 / 43 » New Parallel Algorithms for Frequent Itemset Mining in Very ... |
DASFAA
2007
IEEE
2007
IEEE
LAPIN: Effective Sequential Pattern Mining Algorithms by Last Position Induction for Dense Databases
14 years 1 months ago
Sequential pattern mining is very important because it is the basis of many applications. Although there has been a great deal of effort on sequential pattern mining in recent year...
DATAMINE
1999
13 years 7 months ago
1999
Discovery of frequent patterns has been studied in a variety of data mining settings. In its simplest form, known from association rule mining, the task is to discover all frequent...
ICDM
2002
IEEE
14 years 9 days ago
2002
IEEE
Over the years, a variety of algorithms for finding frequent sequential patterns in very large sequential databases have been developed. The key feature in most of these algorith...
KDD
2004
ACM
14 years 7 months ago
2004
ACM
Mining frequent structural patterns from graph databases is an interesting problem with broad applications. Most of the previous studies focus on pruning unfruitful search subspac...
KDD
2002
ACM
14 years 7 months ago
2002
ACM
Text clustering methods can be used to structure large sets of text or hypertext documents. The well-known methods of text clustering, however, do not really address the special p...