Download PDF by Wai-Ki Ching, Michael Kwok-Po Ng: Advances in Data Mining and Modeling: Hong Kong 27 - 28 June

By Wai-Ki Ching, Michael Kwok-Po Ng

ISBN-10: 9812383549

ISBN-13: 9789812383549

ISBN-10: 9812704957

ISBN-13: 9789812704955

Information mining and information modelling are lower than quickly improvement. as a result of their extensive functions and examine contents, many practitioners and lecturers are interested in paintings in those parts. for you to selling communique and collaboration one of the practitioners and researchers in Hong Kong, a workshop on facts mining and modelling used to be held in June 2002. Prof Ngaiming Mok, Director of the Institute of Mathematical study, The college of Hong Kong, and Prof Tze Leung Lai (Stanford University), C.V. Starr Professor of the college of Hong Kong, initiated the workshop. This paintings comprises chosen papers offered on the workshop. The papers fall into major different types: info mining and information modelling. info mining papers care for development discovery, clustering algorithms, category and useful functions within the inventory industry. facts modelling papers deal with neural community versions, time sequence versions, statistical types and useful purposes.

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9. , Gehrke, J, Gunopulos, D. , Automatic subspace clustering of high dimensional data for data mining applications. In Proceedings of SIGMOD Conference, (1998). , Cluster Analysis for Applications. Academic Press, (1973). C, Pattern Recognition with Fuzzy Objective Function. Plenum Press (198 1). Bobrowski, L. , c-Means Clustering with the 11 and 1. Norms', IEEE Transactions on Systems, Man and Cybernetics 21, 545-554 (1991). Chen, Ning, Chen, An and Zhou, Long-xiang, Fuzzy k-prototypes algorithm for clustering mixed numeric and categorical valued data.

Database Table 2. Database Table 2. Database Table 2. Database Table 2. Database Table 2. DatabaseTable 2. Database Table 2. Database Table 2. Database References 1. 2. 3. 4. 5. 6. 7. 8. 9. , Gehrke, J, Gunopulos, D. , Automatic subspace clustering of high dimensional data for data mining applications. In Proceedings of SIGMOD Conference, (1998). , Cluster Analysis for Applications. Academic Press, (1973). C, Pattern Recognition with Fuzzy Objective Function. Plenum Press (198 1). Bobrowski, L.

In Chinese) 2. Nature Genetics Supplement Vol. 21, January 1999. Nucl. Phy 9 9 22 3. , Brown, P. & Botstein, D. Cluster analysis and display of genome-wide expression patterns. Proc. Natl. Acad. Sci. USA, 95, 14863-14868,1998. 4. J. Quackenbush, Computational analysis of microarray data. Nature Genetics 2:418-427,2001. 5. , et al. Broad Patterns of gene expression revealed by clustering analysis of tumor and normal colon tissues probed by oligonucleotide arrays. Proc. Nut. Acad. Sci. USA, 96:6745-6750, 1999.

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Advances in Data Mining and Modeling: Hong Kong 27 - 28 June 2002 by Wai-Ki Ching, Michael Kwok-Po Ng


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