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  | | Advances in Knowledge Discovery and Data Mining 17th Pacific-Asia Conference, PAKDD 2013, Gold Coast, Australia, April 14-17, 2013, Proceedings, Part ... / Lecture Notes in Artificial Intelligence) by Jian Pei, Longbing Cao, Vincent S. Tseng, Hiroshi Motoda, Guandong Xu, Jian Pei Ph. Paperback, 608 Pages, Published 2013 by Springer ISBN-13: 978-3-642-37455-5, ISBN: 3-642-37455-7 "The two-volume set LNAI 7818 + LNAI 7819 constitutes the refereed proceedings of the 17th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2013, held in Gold Coast, Australia, in April 2013. The total of 98 papers presented in these proceedings was carefully reviewed and selected from 363 submissions. They cover the general fields of data mining and KDD extensively, including pattern min ..." |
 | | Advances in Knowledge Discovery and Data Mining 17th Pacific-Asia Conference, PAKDD 2013, Gold Coast, Australia, April 14-17, 2013, Proceedings, Part ... / Lecture Notes in Artificial Intelligence) by Jian Pei, Longbing Cao, Vincent S. Tseng, Hiroshi Motoda, Guandong Xu, Jian Pei Ph. Paperback, 610 Pages, Published 2013 by Springer ISBN-13: 978-3-642-37452-4, ISBN: 3-642-37452-2 "The two-volume set LNAI 7818 + LNAI 7819 constitutes the refereed proceedings of the 17th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2013, held in Gold Coast, Australia, in April 2013. The total of 98 papers presented in these proceedings was carefully reviewed and selected from 363 submissions. They cover the general fields of data mining and KDD extensively, including pattern min ..." |
 | | 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) ..." |