Output details
11 - Computer Science and Informatics
Manchester Metropolitan University
Article title
An algorithm to mine general association rules from tabular data
Type
D - Journal article
Title of journal
Information Sciences
Article number
-
Volume number
179
Issue number
20
First page of article
3520
ISSN of journal
00200255
Year of publication
2009
URL
-
Number of additional authors
3
Additional information
<15>The problem of mining general association rules from data is well-established, and is used to extract information about correlations between attributes in a database. Previous work in association rule mining has tended to rely simply on equality between items; here we present an algorithm to mine general rules, which allows for a broader set of logical operators. This gives the ability to specify ranges of values in data items, which extends the power of the approach considerably. The algorithm is shown to have benefits in terms of both time complexity and memory management, and has good potential for parallelization.
Interdisciplinary
-
Cross-referral requested
-
Research group
C - Networks and Distributed Systems
Citation count
12
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
