C4.5: programs for machine learning
C4.5: programs for machine learning
A decision-theoretic generalization of on-line learning and an application to boosting
Journal of Computer and System Sciences - Special issue: 26th annual ACM symposium on the theory of computing & STOC'94, May 23–25, 1994, and second annual Europe an conference on computational learning theory (EuroCOLT'95), March 13–15, 1995
Advances in kernel methods: support vector learning
Advances in kernel methods: support vector learning
Objective quality ranking of computing journals
Communications of the ACM - Service-oriented computing
Database publication practices
VLDB '05 Proceedings of the 31st international conference on Very large data bases
On six degrees of separation in DBLP-DB and more
ACM SIGMOD Record
Assessing the relative influence of journals in a citation network
Communications of the ACM
Toward alternative metrics of journal impact: a comparison of download and citation data
Information Processing and Management: an International Journal - Special issue: Infometrics
Citation analysis of database publications
ACM SIGMOD Record
Detecting spam web pages through content analysis
Proceedings of the 15th international conference on World Wide Web
Bibliometric impact measures leveraging topic analysis
Proceedings of the 6th ACM/IEEE-CS joint conference on Digital libraries
Using citations for ranking in digital libraries
Proceedings of the 6th ACM/IEEE-CS joint conference on Digital libraries
Oracle, where shall I submit my papers?
Communications of the ACM - Inspiring Women in Computing
A study of cross-validation and bootstrap for accuracy estimation and model selection
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 1
Oracle, where shall I submit my papers?
Communications of the ACM - Inspiring Women in Computing
Learning to assess the quality of scientific conferences: a case study in computer science
Proceedings of the 9th ACM/IEEE-CS joint conference on Digital libraries
Analysis of computer science communities based on DBLP
ECDL'10 Proceedings of the 14th European conference on Research and advanced technology for digital libraries
Research endogamy as an indicator of conference quality
ACM SIGMOD Record
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Bibliometrics are important measures for venue quality in digital libraries. Impacts of venues are usually the major consideration for subscription decision-making, and for ranking and recommending high-quality venues and documents. For digital libraries in the Computer Science literature domain, conferences play a major role as an important publication and dissemination outlet. However, with a recent profusion of conferences and rapidly expanding fields, it is increasingly challenging for researchers and librarians to assess the quality of conferences. We propose a set of novel heuristics to automatically discover prestigious (and low-quality) conferences by mining the characteristics of Program Committee members. We examine the proposed cues both in isolation and combination under a classification scheme. Evaluation on a collection of 2,979 conferences and 16,147 PC members shows that our heuristics, when combined, correctly classify about 92% of the conferences, with a low false positive rate of 0.035 and a recall of more than 73% for identifying reputable conferences. Furthermore, we demonstrate empirically that our heuristics can also effectively detect a set of low-quality conferences, with a false positive rate of merely 0.002. We also report our experience of detecting two previously unknown low-quality conferences. Finally, we apply the proposed techniques to the entire quality spectrum by ranking conferences in the collection.