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

By Wai-Ki Ching, Michael Kwok-Po Ng

Facts mining and information modelling are lower than quick improvement. as a result of their large functions and learn contents, many practitioners and lecturers are drawn to paintings in those parts. with a purpose 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 learn, The college of Hong Kong, and Prof Tze Leung Lai (Stanford University), C.V. Starr Professor of the collage of Hong Kong, initiated the workshop. This paintings comprises chosen papers awarded on the workshop. The papers fall into major different types: info mining and knowledge modelling. information mining papers care for development discovery, clustering algorithms, class and functional purposes within the inventory industry. info modelling papers deal with neural community versions, time sequence versions, statistical types and useful purposes.

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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. 6. , Slonim D. , Tamayo P. et al. Molecular classification of cancer: calss discovery and class predication by gene expression monitoring.

Rousseeuw, P. , Silhouettes: a graphical aid to the interpretation and validation of cluster analysis. Journal of Computational and Applied Mathematics 20,53-65 (1987). 23. , A New Approach to Clustering. Information Control 19 ,2232 (1969). 24. Z. , k-Means-Type Algorithms: A Generalized Convergence Theorem and Characterization of Local Optimality. IEEE Transactions on Pattern Analysis and Machine Intelligence 6,8147 (1984). 25. Zhang, T. ,BIRCH: A new Data Clustering Algorithm and Its Applications.

Through discrimination of genes and their functions, mankind will find new ways to take precautions and finally cure serious diseases such as cancer and heart disease. A human being has around 30 thousand genes [7]. However, only a very small number of them are related to a specific disease. It is the job of gene selection to find out such critical genes from the 30 thousand genes. , selection of k sets of most effective features from a group of N features. This is a typical combination optimization problem.

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