165 search results - page 32 / 33 » Discovering Frequent Closed Itemsets for Association Rules |
PKDD
2009
Springer
14 years 2 months ago
2009
Springer
In this paper we introduce graph-evolution rules, a novel type of frequency-based pattern that describe the evolution of large networks over time, at a local level. Given a sequenc...
AIIA
2005
Springer
14 years 1 months ago
2005
Springer
Given Boolean data sets which record properties of objects, Formal Concept Analysis is a well-known approach for knowledge discovery. Recent application domains, e.g., for very lar...
IDEAS
2007
IEEE
14 years 1 months ago
2007
IEEE
Feature Space Conversion for classifiers is the process by which the data that is to be fed into the classifier is transformed from one form to another. The motivation behind doin...
CORR
2010
Springer
13 years 7 months ago
2010
Springer
Data mining is the task of discovering interesting patterns from large amounts of data. There are many data mining tasks, such as classification, clustering, association rule mini...
HICSS
2003
IEEE
14 years 27 days ago
2003
IEEE
The discovery of sequential patterns, which extends beyond frequent item-set finding of association rule mining, has become a challenging task due to its complexity. Essentially, ...