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  | | Trends and Applications in Knowledge Discovery and Data Mining PAKDD 2013 Workshops: DMApps, DANTH, QIMIE, BDM, CDA, CloudSD, Golden Coast, QLD, Australia, Revised Selected Papers by Jiuyong Li, Longbing Cao, Can Wang, Kay Chen Tan, Bo Liu, Jian Pei, Vincent S. Tseng 556 Pages, Published 2013 by Springer ISBN-13: 978-3-642-40319-4, ISBN: 3-642-40319-0 "CPSO in our work differs from BPSO and the PSO-based methods on two parts: 1 ) we propose the constraint of elements of particle velocity vectors; 2) we introduce a rule for updating (1) dix t+, whereas BPSO and the PSO-based methods have used the original rule (Eq. 3) and no constraint of elements of particle velocity vectors. The constraint and rule are introduced in order to: 1. increase the probability of xi d(t+1)=0 (P(xid(t+1) ..." |
 | | Lecture Notes in Computer Science Advances in Knowledge Discovery and Data Mining : 17th Pacific-Asia Conference, PAKDD 2013, Gold Coast, Australia, April 14-17, 2013, Proceedings, Part II 7819 by Jian Pei, Vincent S. Tseng, Longbing Cao, Hiroshi Motoda, Guandong Xu 588 Pages, Published 2013 by Springer ISBN-13: 978-3-642-37456-2, ISBN: 3-642-37456-5 "... Byron Choi, Jianliang Xu, and Bingsheng He Patterns amongst Competing Task Frequencies: Super-Linearities, and the Almond-DG Model ............................. .............. Danai Koutra, Vasileios Koutras, B. Aditya Prakash, and Christos Faloutsos Node Classification in Social Network via a Factor Graph Model ....... Huan Xu, Yujiu Yang, Liangwei Wang, and Wenhuang Liu Fast Graph Stream Classification Using Discriminative Cli ..." |
 | | Lecture Notes in Computer Science Advances in Knowledge Discovery and Data Mining : 17th Pacific-Asia Conference, PAKDD 2013, Gold Coast, Australia, April 14-17, 2013, Proceedings, Part I 7818 by Jian Pei, Vincent S. Tseng, Longbing Cao, Hiroshi Motoda, Guandong Xu 610 Pages, Published 2013 by Springer ISBN-13: 978-3-642-37453-1, ISBN: 3-642-37453-0 "17th Pacific-Asia Conference, PAKDD 2013, Gold Coast, Australia, April 14-17, 2013, Proceedings Jian Pei, Vincent S. Tseng, Longbing Cao, Hiroshi Motoda, Guandong Xu. Algorithm 2. DFS-Pruning(p, S, T,) Require: Current frequent pattern p = (s1, s2, . . . , sn), set of items for s—extension Sn, set of items for i- extension T, 1: Stemp = (), Ttemp = () 2: F = 0, P = 0, P, = 0 3: if (not checkAvoidable(p, T(Dp) )) then 4: for all i e ..." |