By Bin Tong, Einoshin Suzuki (auth.), Mohammed J. Zaki, Jeffrey Xu Yu, B. Ravindran, Vikram Pudi (eds.)
This booklet constitutes the lawsuits of the 14th Pacific-Asia convention, PAKDD 2010, held in Hyderabad, India, in June 2010.
Read or Download Advances in Knowledge Discovery and Data Mining: 14th Pacific-Asia Conference, PAKDD 2010, Hyderabad, India, June 21-24, 2010. Proceedings. Part II PDF
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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
For the ‘monks-1’, ‘monks-2’, and ‘monks-3’ data, we combined the train and test sets into a whole one. For the ‘letter’ data, we chose ‘A’, ‘B’, ‘C’, and ‘D’ letters from the train and test sets respectively by randomly picking up 100 samples for each letter, and then assembled them into a whole set. Table 1. Summary of the benchmark data sets Data set Dimension Instance Class Data set Dimension Instance Class monks-1 6 556 2 monks-2 6 601 2 monks-3 6 554 2 letter(ABCD) 16 800 4 heart 13 270 4 GCM 16063 198 14 As shown in Eq.
5 Conclusion In this paper we have presented D-Isomap, a novel distributed NLDR algorithm which to the best of our knowledge is the ﬁrst attempt towards this direction. We presented in details each step of the procedure and assessed the requirements posed to each network node by its application. Through extensive experiments we validated the capability of D-Isomap to recover linear manifolds from highly non linear structures. Additionally, we highlighted its applicability in DKD problems through experiments on a real world text dataset.
In: SDMKD, ch. 19, pp. 327–342. CRC, Boca Raton (2004) 14. : Pca for dimensionality reduction in massive distributed data sets. In: 5th International Workshop on High Performance Data Mining (2002) 15. : A scalable contentaddressable network. In: ACM SIGCOMM, pp. 161–172 (2001) 16. : Global versus local methods in nonlinear dimensionality reduction. In: NIPS, pp. 705–712 (2002) 17. , Hari: Chord: A scalable peerto-peer lookup service for internet applications. ACM SIGCOMM (2001) 18. : A global geometric framework for nonlinear dimensionality reduction.