1056 search results - page 141 / 212 » Association Rule Mining Algorithms for Set-Valued Data |
DIS
2008
Springer
13 years 9 months ago
2008
Springer
Frequent closures (FCIs) and generators (FGs) as well as the precedence relation on FCIs are key components in the definition of a variety of association rule bases. Although their...
ML
2006
ACM
13 years 7 months ago
2006
ACM
Abstract Relational rule learning algorithms are typically designed to construct classification and prediction rules. However, relational rule learning can be adapted also to subgr...
ACMICEC
2007
ACM
13 years 11 months ago
2007
ACM
Needs-based analysis lies at the intersection of product marketing and new product development. It is the study of why consumers purchase and what they do with those purchases. In...
CIKM
2011
Springer
12 years 7 months ago
2011
Springer
Entity matching (EM) is the task of identifying records that refer to the same real-world entity from different data sources. While EM is widely used in data integration and data...
RSFDGRC
1999
Springer
13 years 12 months ago
1999
Springer
: In real-life data, in general, many attribute values are missing. Therefore, rule induction requires preprocessing, where missing attribute values are replaced by appropriate val...