| Language | English |
|---|---|
| Pages | 243-251 |
| Journal | Knowledge-Based Systems |
| Volume | 16 |
| Issue number | 5-6 |
| DOIs | |
| Publication status | Published - 1 Jul 2003 |
Keywords
- rough set
- ontology
- maximal association rules
Cite this
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A rough set model with ontologies for discovering maximal association rules in document collections. / Bi, Y; Anderson, TJ; McClean, SI.
In: Knowledge-Based Systems, Vol. 16, No. 5-6, 01.07.2003, p. 243-251.Research output: Contribution to journal › Article
TY - JOUR
T1 - A rough set model with ontologies for discovering maximal association rules in document collections
AU - Bi, Y
AU - Anderson, TJ
AU - McClean, SI
N1 - Other Details ------------------------------------ This paper presents a rough set based method for discovering maximal association rules from collections of text documents. This method provides a solution to detect maximal association rules by computing co-occurrences of various sets of keywords with taxonomies. Rules discovered by this method are similar to those discovered by a conventional maximal association method; however, the rough set based method is much simpler to implement than the maximal association method. The significance of this paper is the development of an alternative strategy for taxonomies that effectively utilises ontologies that will be deployed increasingly on the Internet.
PY - 2003/7/1
Y1 - 2003/7/1
KW - rough set
KW - ontology
KW - maximal association rules
U2 - 10.1016/S0950-7051(03)00025-X
DO - 10.1016/S0950-7051(03)00025-X
M3 - Article
VL - 16
SP - 243
EP - 251
JO - Knowledge-Based Systems
T2 - Knowledge-Based Systems
JF - Knowledge-Based Systems
SN - 0950-7051
IS - 5-6
ER -