Advances in Knowledge Discovery and Data Mining: 14th - download pdf or read online

By Bin Tong, Einoshin Suzuki (auth.), Mohammed J. Zaki, Jeffrey Xu Yu, B. Ravindran, Vikram Pudi (eds.)

ISBN-10: 3642136710

ISBN-13: 9783642136719

ISBN-10: 3642136729

ISBN-13: 9783642136726

This publication constitutes the lawsuits of the 14th Pacific-Asia convention, PAKDD 2010, held in Hyderabad, India, in June 2010.

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Extra info for Advances in Knowledge Discovery and Data Mining: 14th Pacific-Asia Conference, PAKDD 2010, Hyderabad, India, June 21-24, 2010. Proceedings. Part II

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It indicates that SODRPaC is more robust than other semi-supervised methods in terms of the imbalance between must-link constraints and cannot-link constraints. As shown in Fig. 4b and Fig. 8 Rate of Must−link Set 1 (f) GCM (d=150) Fig. 4. The performance with the change of rate for must-link set (d: reduced dimensionality) performance when all constraints are must-link ones. The most probable reason would be that the transformation from must-link constraints into cannot-link constraints can not be performed when the necessary cannot-link constraints lack.

Hari: Chord: A scalable peerto-peer lookup service for internet applications. ACM SIGCOMM (2001) 18. : A global geometric framework for nonlinear dimensionality reduction. Science 290(5500), 2319–2323 (2000) 19. : Theory and methods of scaling. Wiley, Chichester (1958) 20. : Incremental isometric embedding of high-dimensional data using connected neighborhood graphs. tw National Taiwan University, Taiwan Abstract. The progressive sequential pattern mining problem has been discussed in previous research works.

On the other hand, non linear methods assume that such linearity does not exist and operate on small fractions of the high dimensional manifold that can be perceived as locally linear. Due to space limitations, in the remaining of this section, we focus on the Isomap algorithm and its variations while in the end we provide a short overview of prominent DDR methods and motivate the need for a distributed NLDR approach. Isomap [18] is a non linear technique that operates on points’ pairwise geodesic distances.

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Advances in Knowledge Discovery and Data Mining: 14th Pacific-Asia Conference, PAKDD 2010, Hyderabad, India, June 21-24, 2010. Proceedings. Part II by Bin Tong, Einoshin Suzuki (auth.), Mohammed J. Zaki, Jeffrey Xu Yu, B. Ravindran, Vikram Pudi (eds.)


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