62 search results - page 3 / 13 » Interestingness measures for data mining: A survey |
PAKDD
2004
ACM
14 years 28 days ago
2004
ACM
GRD is an algorithm for k-most interesting rule discovery. In contrast to association rule discovery, GRD does not require the use of a minimum support constraint. Rather, the user...
DIS
2006
Springer
13 years 9 months ago
2006
Springer
Abstract. One important challenge in data mining is to extract interesting knowledge and useful information for expert users. Since data mining algorithms extracts a huge quantity ...
PAKDD
1999
ACM
13 years 12 months ago
1999
ACM
In this paper, we analyze quantitative measures associated with if-then type rules. Basic quantities are identified and many existing measures are examined using the basic quantit...
KDD
2006
ACM
14 years 8 months ago
2006
ACM
1 A bridging rule in this paper has its antecedent and action from different conceptual clusters. We first design two algorithms for mining bridging rules between clusters in a dat...
HICSS
2008
IEEE
14 years 2 months ago
2008
IEEE
The number of publications in biomedicine is increasing enormously each year. To help researchers digest the information in these documents, text mining tools are being developed ...