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

Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)

Volumn 2637, Issue , 2003, Pages 461-466

  Chawla, Sanjay ^a   Arunasalam, Bavani ^a   Davis, Joseph ^a  

^a UNIVERSITY OF SYDNEY   (Australia)

Author keywords

Association rule; Factor analysis; Hypergraph clustering; Networks; Opensource software

Indexed keywords

ASSOCIATION RULES; COMPUTER SOFTWARE; DATA MINING; FACTOR ANALYSIS; MULTIVARIANT ANALYSIS; NETWORKS (CIRCUITS); OPEN SYSTEMS; SINGULAR VALUE DECOMPOSITION; SOFTWARE ENGINEERING; COMPUTER NETWORKS; STATISTICAL METHODS; WEBSITES;

GRAPHICAL MODEL; HYPERGRAPH CLUSTERING; SPECIAL CLASS; STATISTICAL TECHNIQUES;

OPEN SOURCE SOFTWARE; COMPUTER SOFTWARE;

ASSOCIATION RULE; FACTOR ANALYSIS; HYPERGRAPH CLUSTERING; NETWORKS; OPEN SOURCE SOFTWARES;

EID: 7444234279     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/3-540-36175-8_46     Document Type: Conference Paper

References (11)

1. Rakesh Agrawal and Ramakrishnan Srikant. Fast algorithms for mining association rules. In Jorge B. Bocca, Matthias Jarke, and Carlo Zaniolo, editors, Proc. 20th Int. Conf. Very Large Data Bases, VLDB, pages 487-499. Morgan Kaufmann, 12-15 1994.
2. Sanjay Chawla, Bavani Arunasalam, and Joseph Davis. Mining open source software(oss) data using association rules network. Technical Report TR 535, School of IT, University of Sydney, Sydney, NSW, Australia, 2003.
3. A. Dutoit and B. Bruegge. Communication metrics for software development. IEEE Transactions On Software Engineering, 24(8): 615-628, 1998.
4. L. Feng, J. Yu, H. Lu, and J. Han. A template model for multi-dimensional, inter-transactional association rules. VLDB Journal, 11(2): 153-175, 2002.
5. R.L Glass. The sociology of open source: of cults and cultures. IEEE Software, 17(3): 104-105, 2000.
6. Eui-Hong Han, George Karypis, Vipin Kumar, and Bamshad Mobasher. Clustering based on association rule hypergraphs. In Proceedings SIGMOD Workshop Research Issues on Data Mining and Knowledge Discovery(DMKD'97), 1997.
7. Han, J., Kamber, M., 2001. Data Mining, Concepts and Trends. Morgan Kaufmann.
8. Hand, D., Mannila, H., Smyth, P., 2001. Principles of Data Mining. M.I.T Press.
9. Bing Liu, Wynne Hsu, and Yiming Ma. Integrating classification and association rule mining. In Knowledge Discovery and Data Mining, pages 80-86, 1998.
10. E.S. Raymond. The Cathedral and Bazaar: Musings on Open Source and Linux by an Accidental Revolutionary. O'Reilly, 2001.
11. L. Torwalds. The linux edge. Communications of the ACM, 42(4): 38-39, 1999.