@inproceedings{e2315bdcf0a74d3d90e2d5476d5bb608,
title = "Mining Open Source Software (OSS) data using association rules network",
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).",
keywords = "Association rule, Factor analysis, Hypergraph clustering, Networks, Opensource software",
author = "Sanjay Chawla and Bavani Arunasalam and Joseph Davis",
note = "Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 2003.; 7th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2003 ; Conference date: 30-04-2003 Through 02-05-2003",
year = "2003",
doi = "10.1007/3-540-36175-8_46",
language = "English",
series = "Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)",
publisher = "Springer Verlag",
pages = "461--466",
editor = "Kyu-Young Wang and Jongwoo Jeon and Kyuseok Shim and Jaideep Srivastava",
booktitle = "Advances in Knowledge Discovery and Data Mining",
address = "Germany",
}