214 search results - page 14 / 43 » New Parallel Algorithms for Frequent Itemset Mining in Very ... |
PAKDD
2005
ACM
14 years 27 days ago
2005
ACM
Traditional association rules mining cannot meet the demands arising from some real applications. By considering the different values of individual items as utilities, utility mini...
CIKM
2009
Springer
14 years 2 months ago
2009
Springer
Graph data are subject to uncertainties in many applications due to incompleteness and imprecision of data. Mining uncertain graph data is semantically different from and computat...
PKDD
2005
Springer
14 years 27 days ago
2005
Springer
Abstract. The paradigm of pattern discovery based on constraints was introduced with the aim of providing to the user a tool to drive the discovery process towards potentially inte...
DPD
2002
13 years 7 months ago
2002
Data mining is a new, important and fast growing database application. Outlier (exception) detection is one kind of data mining, which can be applied in a variety of areas like mon...
CINQ
2004
Springer
14 years 24 days ago
2004
Springer
Frequent Pattern Mining (FPM) is a very powerful paradigm for mining informative and useful patterns in massive, complex datasets. In this paper we propose the Data Mining Templat...