KDD
1997
ACM
14 years 5 months ago
1997
ACM
In this paper, we employ a novel approach to metarule-guided, multi-dimensional association rule mining which explores a data cube structure. We propose algorithms for metarule-gu...
FQAS
2000
Springer
14 years 5 months ago
2000
Springer
Frequent association rules (e.g., AB C to say that when properties A and B are true in a record then, C tends to be also true) have become a popular way to summarize huge datasets...
CIKM
2006
Springer
14 years 6 months ago
2006
Springer
The rapid growth of transactional data brought, soon enough, into attention the need of its further exploitation. In this paper, we investigate the problem of securing sensitive k...
AUSAI
2004
Springer
14 years 6 months ago
2004
Springer
Abstract. Association rule mining is a data mining technique that reveals interesting relationships in a database. Existing approaches employ different parameters to search for int...
AMT
2006
Springer
14 years 6 months ago
2006
Springer
Abstract. This paper presents a rough set model for constraint-based multidimensional association rule mining. It first overviews the progress in constraintbased multi-dimensional ...
ISCC
2002
IEEE
14 years 7 months ago
2002
IEEE
Generalized association rule mining is an extension of traditional association rule mining to discover more informative rules, given a taxonomy. In this paper, we describe a forma...
ICDM
2003
IEEE
14 years 7 months ago
2003
IEEE
In the literature of data mining, many different algorithms for association rule mining have been proposed. However, there is relatively little study on how association rules can ...
ICDM
2003
IEEE
14 years 7 months ago
2003
IEEE
Automatic classification of documents is an important area of research with many applications in the fields of document searching, forensics and others. Methods to perform class...
DEXA
2004
Springer
14 years 7 months ago
2004
Springer
Two important constraints of association rule mining algorithm are support and confidence. However, such constraints-based algorithms generally produce a large number of redundant ...
DAWAK
2004
Springer
14 years 7 months ago
2004
Springer
All methods of association rule mining require the frequent sets of items, that occur together sufficiently often to be the basis of potentially interesting rules, to be first com...