A Framework for Synthesizing Arbitrary Boolean Queries Induced by Frequent Itemsets

Animesh Adhikari
Additional contact information
Animesh Adhikari: Department of Computer Science, S. P. Chowgule College, Margao, Goa, India

International Journal of Knowledge-Based Organizations (IJKBO), 2013, vol. 3, issue 2, 56-75

Abstract: Frequent itemsets determine the major characteristics of a transactional database. It is important to mine arbitrary Boolean queries induced by frequent itemsets. In this paper, the author proposes a simple and elegant framework for synthesizing arbitrary Boolean queries using conditional patterns in a database. Both real and synthetic databases were used to evaluate the experimental results. The author presents an algorithm for mining a set of specific itemsets in a database and a model of synthesizing a query in a database. Finally, the author discusses an application of the proposed framework for reducing query processing time.

Date: 2013
References: Add references at CitEc
Citations:

Downloads: (external link)
http://services.igi-global.com/resolvedoi/resolve. ... 018/ijkbo.2013040104 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:igg:jkbo00:v:3:y:2013:i:2:p:56-75

Access Statistics for this article

International Journal of Knowledge-Based Organizations (IJKBO) is currently edited by John Wang

More articles in International Journal of Knowledge-Based Organizations (IJKBO) from IGI Global
Bibliographic data for series maintained by Journal Editor ().