ADMRG @ MediaEval 2013 Social Event Detection

Sutanto, Taufik & Nayak, Richi (2013) ADMRG @ MediaEval 2013 Social Event Detection. In Reuter, Timo & Larson, Martha (Eds.) Proceedings of the MediaEval 2013 Multimedia Benchmark Workshop,, Barcelona, Spain.

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This paper elaborates the approach used by the Applied Data Mining Research Group (ADMRG) for the Social Event Detection (SED) Tasks of the 2013 MediaEval Benchmark. We extended the constrained clustering algorithm to apply to the first semi-supervised clustering task, and we compared several classifiers with Latent Dirichlet Allocation as feature selector in the second event classification task. The proposed approach focuses on scalability and efficient memory allocation when applied to a high dimensional data with large clusters. Results of the first task show the effectiveness of the proposed method. Results from task 2 indicate that attention on the imbalance categories distributions is needed.

Impact and interest:

4 citations in Scopus
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Full-text downloads:

80 since deposited on 29 Oct 2013
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ID Code: 63821
Item Type: Conference Paper
Refereed: Yes
Keywords: Constrained Clustering, Social Event Detection, Ranking, Document Clustering
ISSN: 1613-0073
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Pattern Recognition and Data Mining (080109)
Divisions: Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 2013 The Authors
Deposited On: 29 Oct 2013 22:18
Last Modified: 31 Oct 2013 00:50

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