Output details
11 - Computer Science and Informatics
Liverpool Hope University
Article title
Finding Associations in Composite Data Sets
Type
D - Journal article
Title of journal
International Journal of Data Warehousing and Mining
Article number
-
Volume number
7
Issue number
3
First page of article
1
ISSN of journal
1548-3932
Year of publication
2011
URL
-
Number of additional authors
-
Additional information
<15> The CFARM algorithm is developed to identify patterns in datasets comprised of composite attributes (two or more values that subscribe to a common schema). Fuzzy association rules using “properties” associated with these composite attributes are then formed in order to analyse nutrient patterns in order to predict/inform healthy eating patterns. This work is a result of research collaboration between Hope University, Liverpool University and Manchester Metropolitan University Computer Science Departments.
Interdisciplinary
-
Cross-referral requested
-
Research group
1 - Centre for Applicable Mathematics and Systems Science (CAMSS)
Citation count
5
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
