62 search results - page 9 / 13 » Interestingness measures for data mining: A survey |
AUSDM
2006
Springer
13 years 11 months ago
2006
Springer
How to efficiently discard potentially uninteresting rules in exploratory rule discovery is one of the important research foci in data mining. Many researchers have presented algor...
ICDM
2010
IEEE
13 years 5 months ago
2010
IEEE
Various real-life datasets can be viewed as a set of records consisting of attributes explaining the records and set of measures evaluating the records. In this paper, we address t...
PKDD
2007
Springer
14 years 1 months ago
2007
Springer
Abstract. Recent results on robust density-based clustering have indicated that the uncertainty associated with the actual measurements can be exploited to locate objects that are ...
ICDM
2006
IEEE
14 years 1 months ago
2006
IEEE
High dimensionality remains a significant challenge for document clustering. Recent approaches used frequent itemsets and closed frequent itemsets to reduce dimensionality, and to...
RSFDGRC
2005
Springer
14 years 1 months ago
2005
Springer
Abstract. Association rule algorithms often generate an excessive number of rules, many of which are not significant. It is difficult to determine which rules are more useful, int...