Paper Info
Title
Heuristic Measures of Interestingness
Abstract
The tuples in a generalized relation (i.e., a summary generatedfrom a database) are unique, and therefore, can be considered to bea population with a structure that can be described by some probabilitydistribution. In this paper, we present and empirically compare sixteenheuristic measures that evaluate the structure of a summary to assigna single real-valued index that represents its interestingness relative toother summaries generated from the same database. The heuristics are...
Year
DOI
Venue
1999
10.1007/978-3-540-48247-5_25
PKDD
Keywords
Field
DocType
heuristic measures,indexation
Data mining,Population,Heuristic,Ranking,Computer science,Tuple,Probability distribution,Heuristics,Knowledge extraction,Formal concept analysis
Conference
Volume
ISSN
ISBN
1704
0302-9743
3-540-66490-4
Citations 
PageRank 
References 
21
1.51
11
Authors
2
Name
Order
Citations
PageRank
Robert J. Hilderman127029.86
Howard J. Hamilton21501145.55