DATAMINE
2006
13 years 11 months ago
2006
In order to allow for the analysis of data sets including numerical attributes, several generalizations of association rule mining based on fuzzy sets have been proposed in the li...
FLAIRS
2003
14 years 25 days ago
2003
Almost all the approaches in association rule mining suggested the use of a single minimum support, technique that either rules out all infrequent itemsets or suffers from the bot...
ICEB
2004
14 years 25 days ago
2004
This paper introduces a new approach to a problem of data sharing among multiple parties, without disclosing the data between the parties. Our focus is data sharing among parties i...
BDA
2001
14 years 25 days ago
2001
We study KDD (Knowledge Discovery in Databases) processes on OLAP (multidimensional and multilevel) data from a query point of view. Focusing on association rule mining, we consid...
DMIN
2006
14 years 25 days ago
2006
- With the growing usage of XML in the World Wide Web and elsewhere as a standard for the exchange of data and to represent semistructured data, there is an imminent need for tools...
IFIP12
2008
14 years 27 days ago
2008
This paper presents an approach for mining fuzzy Association Rules (ARs) relating the properties of composite items, i.e. items that each feature a number of values derived from a ...
DGO
2007
14 years 27 days ago
2007
We present D-HOTM, a framework for Distributed Higher Order Text Mining based on named entities extracted from textual data that are stored in distributed relational databases. Unl...
CIBB
2008
14 years 1 months ago
2008
During the last decade, several clustering and association rule mining techniques have been applied to highlight groups of coregulated genes in gene expression data. Nowadays, inte...
AUSDM
2008
Springer
14 years 1 months ago
2008
Springer
This paper presents an application of association rule mining in compliance in the context of health service management. There are approximately 500 million transactions processed...
VLDB
1995
ACM
14 years 3 months ago
1995
ACM
Previous studies on mining association rules find rules at single concept level, however, mining association rules at multiple concept levels may lead to the discovery of more spe...