home submit paper guide for authors contact us register search archive current issue journal info
   [Home ] [Archive]    
Main Menu
Home::
Journal Information::
Articles archive::
For Authors::
Registration::
Contact us::
Site Facilities::
Editorial Workflow::
::
Search in website

Advanced Search
..
Receive site information
Enter your Email in the following box to receive the site news and information.
..
:: Volume 1, Issue 2 (11-2011) ::
2011, 1(2): 0-0 Back to browse issues page
Numeric Multi-Objective Rule Mining Using Simulated Annealing Algorithm
M. Nasiri , L. Sadat Taghavi , B. Minaee
Abstract:   (9806 Views)
Abstract as a single objective one. Measures like support, confidence and other interestingness criteria which are used for evaluating a rule, can be thought of as different objectives of association rule mining problem. Support count is the number of records, which satisfies all the conditions that exist in the rule. This objective represents the accuracy of the rules extracted from the database. Confidence represents the proportion of records for which the prediction of the rule (or model in the case of a complete classification) is correct, and it is one of the most widely quoted measures of quality, especially in the context of complete classification. Interestingness measures how much interesting the rule is. Using these three measures as the objectives of rule mining problem, this article uses a Simulated Annealing algorithm to extract some useful and interesting rules from any Market-basket type databases. The experimental results show that the algorithm may be suitable for large and noisy datasets but don’t stay in local minimum. Keywords: Simulated Annealing, Numeric Association Rule Mining.
Full-Text [DOC 197 kb]   (2554 Downloads)    
Type of Study: Research | Subject: General
Received: 2011/11/12 | Published: 2011/11/15
Send email to the article author

Add your comments about this article
Your username or Email:

CAPTCHA


XML     Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

M. Nasiri, L. Sadat Taghavi, B. Minaee. Numeric Multi-Objective Rule Mining Using Simulated Annealing Algorithm. International Journal of Applied Operational Research 2011; 1 (2)
URL: http://ijorlu.liau.ac.ir/article-1-76-en.html


Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Volume 1, Issue 2 (11-2011) Back to browse issues page
ژورنال بین المللی پژوهش عملیاتی International Journal of Applied Operational Research - An Open Access Journal
Persian site map - English site map - Created in 0.06 seconds with 37 queries by YEKTAWEB 4645