By Yong-Bin Kang, Shonali Krishnaswamy (auth.), Jie Tang, Irwin King, Ling Chen, Jianyong Wang (eds.)
The two-volume set LNAI 7120 and LNAI 7121 constitutes the refereed lawsuits of the seventh overseas convention on complicated information Mining and purposes, ADMA 2011, held in Beijing, China, in December 2011. The 35 revised complete papers and 29 brief papers awarded including three keynote speeches have been conscientiously reviewed and chosen from 191 submissions. The papers disguise quite a lot of subject matters featuring unique learn findings in facts mining, spanning purposes, algorithms, software program and platforms, and utilized disciplines.
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Additional info for Advanced Data Mining and Applications: 7th International Conference, ADMA 2011, Beijing, China, December 17-19, 2011, Proceedings, Part I
D. ) MCO. CCIS, vol. 14, pp. 204–213. Springer, Heidelberg (2008) 23. : On cliques in graphs. Israel Journal of Mathematics 3(1), 23–28 (1965) 24. : Elicitation des pr´ef´erences pour l’aide multicrit´ere ´ a la d´ecision (2003) 25. : Finding and evaluating community structure in networks. Physical Review E 69(2) (2004) 28 R. Bisdorﬀ, P. -L. Olteanu 26. : Uncovering the overlapping community structure of complex networks in nature and society. Nature 435(7043), 814–818 (2005) 27. : Wavecluster: A multi-resolution clustering approach for very large spatial databases.
Olteanu Clustering Algorithm The exact algorithmic approach to ﬁnd the best partition would be to enumerate all of them and select the one that maximizes the ﬁtness function deﬁned above. However, this approach is not feasible even for small problems. 792·n has been recently given in . bound of ln(n+1) Therefore we structure our algorithmic approach in the following four steps: 1. Elicit the thresholds and weights on each attribute from a human agent. 2. Construct the bipolar-valued similarity relation and its associated Condorcet similarity graph according to this preferential information.
SM F ; 24: output 3-tuple I if I. = AM F ∨ I. = SM F from F1 on demand; datasets are generated with the IBM synthetic data generator. The KOSARAK dataset contains the click-stream data of a Hungarian online news portal. The MUSHROOM dataset contains characteristics from diﬀerent species of mushrooms. The data characteristics are summarized in Tab. 1. The estMax algorithm in  is a state-of-the-art method for mining maximal frequent itemsets over stream; thus, we use it as the evaluated method for comparison.
Advanced Data Mining and Applications: 7th International Conference, ADMA 2011, Beijing, China, December 17-19, 2011, Proceedings, Part I by Yong-Bin Kang, Shonali Krishnaswamy (auth.), Jie Tang, Irwin King, Ling Chen, Jianyong Wang (eds.)