Volume 2 Number 3 (Jun. 2010)
Home > Archive > 2010 > Volume 2 Number 3 (Jun. 2010) >
IJCEE 2010 Vol.2 (3): 465-468 ISSN: 1793-8163
DOI: 10.7763/IJCEE.2010.V2.178

Applying Association Rules For Web Services Categorization

Shailja Sharma and Shalini Batra

Abstract—With the growth of the number of Web Services available on the Web, the need for mechanisms enabling the automatic categorization of Web Services becomes important. Web Services classification, a task of automatically sorting a set of documents into categories from a predefined set is an attractive method as manually organizing document bases is simply not feasible given the time constraints of the application or the number of documents involved. We propose an approach of Web Service classification where text mining and classification of WSDL (Web Service Description Language) documents is done based on association rules i.e. association rules are applied to analyze the degree of dependency between contents of WSDL and category of the Web Services. A machine learning classifier is used at the end to categorize the documents under different categories. This classifier deduces a sequence of candidate categories for a preprocessed Web service description. The performance of web services classified with association rules is compared with the primitive classification algorithms.

Index Terms—Association Rules, Text Mining, Web Services classification

Shailja Sharma is System Analyst with Kurukshetra University, Kurukshetra, Haryana,India. Email: shailjakaushik@gmail.com Ph. no. 9896097938
Shalini Batra is Sr. Lecturer with Computer Science and Engineering Department, Thapar University, Patiala, India. Email: sbatra@thapar.edu

Cite: Shailja Sharma and Shalini Batra, "Applying Association Rules For Web Services Categorization," International Journal of Computer and Electrical Engineering vol. 2, no. 3, pp. 465-468, 2010.

General Information

ISSN: 1793-8163 (Print)
Abbreviated Title: Int. J. Comput. Electr. Eng.
Frequency: Quarterly
Editor-in-Chief: Prof. Yucong Duan
Abstracting/ Indexing: EI (INSPEC, IET), Ulrich's Periodicals Directory, Google Scholar, EBSCO, ProQuest, and Electronic Journals Library
E-mail: ijcee@iap.org

What's New

  • Jun 03, 2019 News!

    IJCEE Vol. 9, No. 2 - Vol. 10, No. 2 have been indexed by EI (Inspec) Inspec, created by the Institution of Engineering and Tech.!   [Click]

  • May 13, 2020 News!

    IJCEE Vol 12, No 2 is available online now   [Click]

  • Mar 04, 2020 News!

    IJCEE Vol 12, No 1 is available online now   [Click]

  • Dec 11, 2019 News!

    The dois of published papers in Vol 11, No 4 have been validated by Crossref

  • Oct 11, 2019 News!

    IJCEE Vol 11, No 4 is available online now   [Click]

  • Read more>>