Mining Open Source Software (OSS) data using association rules network

Sanjay Chawla, Bavani Arunasalam, Joseph Davis

Research output: Chapter in Book/Report/Conference proceedingConference contribution

11 Citations (Scopus)

Abstract

The Open Source Software(OSS) movement has attracted considerable attention in the last few years. In this paper we report our results of mining data acquired from SourceForge.net, the largest open source software hosting website. In the process we introduce Association Rules Network(ARN), a (hyper)graphical model to represent a special class of association rules. Using ARNs we discover important relationships between the attributes of successful OSS projects. We verify and validate these relationships using Factor Analysis, a classical statistical technique related to Singular Value Decomposition(SVD).

Original languageEnglish
Title of host publicationLecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)
EditorsK.-Y. Whang, J. Jeon, K. Shim, J. Srivastava
Pages461-466
Number of pages6
Volume2637
Publication statusPublished - 2003
Externally publishedYes
Event7th Pacific-Asia Conference, PAKDD 2003 - Seoul, Korea, Republic of
Duration: 30 Apr 20032 May 2003

Other

Other7th Pacific-Asia Conference, PAKDD 2003
CountryKorea, Republic of
CitySeoul
Period30/4/032/5/03

Fingerprint

Association rules
Factor analysis
Singular value decomposition
Data mining
Websites
Open source software

Keywords

  • Association Rule
  • Factor analysis
  • Hypergraph clustering
  • Networks
  • Open Source Software

ASJC Scopus subject areas

  • Hardware and Architecture

Cite this

Chawla, S., Arunasalam, B., & Davis, J. (2003). Mining Open Source Software (OSS) data using association rules network. In K-Y. Whang, J. Jeon, K. Shim, & J. Srivastava (Eds.), Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science) (Vol. 2637, pp. 461-466)

Mining Open Source Software (OSS) data using association rules network. / Chawla, Sanjay; Arunasalam, Bavani; Davis, Joseph.

Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science). ed. / K.-Y. Whang; J. Jeon; K. Shim; J. Srivastava. Vol. 2637 2003. p. 461-466.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Chawla, S, Arunasalam, B & Davis, J 2003, Mining Open Source Software (OSS) data using association rules network. in K-Y Whang, J Jeon, K Shim & J Srivastava (eds), Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science). vol. 2637, pp. 461-466, 7th Pacific-Asia Conference, PAKDD 2003, Seoul, Korea, Republic of, 30/4/03.
Chawla S, Arunasalam B, Davis J. Mining Open Source Software (OSS) data using association rules network. In Whang K-Y, Jeon J, Shim K, Srivastava J, editors, Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science). Vol. 2637. 2003. p. 461-466
Chawla, Sanjay ; Arunasalam, Bavani ; Davis, Joseph. / Mining Open Source Software (OSS) data using association rules network. Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science). editor / K.-Y. Whang ; J. Jeon ; K. Shim ; J. Srivastava. Vol. 2637 2003. pp. 461-466
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