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Multi-type relational clustering approaches : current state-of-the-art and new directions

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Li, Tao and Anand, Sarabjot Singh (2008) Multi-type relational clustering approaches : current state-of-the-art and new directions. In: International Conference on Intelligent Networks and Intelligent Systems (ICINIS 2008), Wuhan, China, 1-3 November 2008. Published in: The First International Conference on Intelligent Networks and Intelligent Systems doi:10.1107/S1600536813033801

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Abstract

The proliferation of multi-type relational datasets in a number of important real-world applications and the limitations resulting from the transformation of such datasets to fit propositional data mining approaches have led to the emergence of the discipline of multi-type relational data mining. Clustering is an important unsupervised learning task aimed at discovering structure inherent in data. In this paper, we survey the state-of-the-art in the field of relational clustering, providing a taxonomy of approaches and review some of the most representative algorithms within each category. We also present DIVA, our general framework for multi-type relational clustering, which combines the use of Representative Objects with multi-phase clustering in a bid to provide flexibility, efficiency and effectiveness in clustering relational datasets. Theoretical analysis and experimental results prove that our approach is more effective and efficient than a number of other algorithms proposed in literature.

Item Type: Conference Item (Paper)
Subjects: Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software
Divisions: Faculty of Science > Computer Science
Library of Congress Subject Headings (LCSH): Data mining, Electronic data processing, Cluster analysis
Journal or Publication Title: The First International Conference on Intelligent Networks and Intelligent Systems
Publisher: IEEE
Official Date: 1 November 2008
Dates:
DateEvent
1 November 2008Available
DOI: 10.1107/S1600536813033801
Status: Peer Reviewed
Publication Status: Published
Conference Paper Type: Paper
Title of Event: International Conference on Intelligent Networks and Intelligent Systems (ICINIS 2008)
Type of Event: Conference
Location of Event: Wuhan, China
Date(s) of Event: 1-3 November 2008

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