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Data Mining in Biomedicine (Paperback, Softcover reprint of hardcover 1st ed. 2007): Panos M. Pardalos, Vladimir L Boginski,... Data Mining in Biomedicine (Paperback, Softcover reprint of hardcover 1st ed. 2007)
Panos M. Pardalos, Vladimir L Boginski, Alkis Vazacopoulos
R5,854 Discovery Miles 58 540 Ships in 10 - 15 working days

This volume presents an extensive collection of contributions covering aspects of the exciting and important research field of data mining techniques in biomedicine. Coverage includes new approaches for the analysis of biomedical data; applications of data mining techniques to real-life problems in medical practice; comprehensive reviews of recent trends in the field. The book addresses incorporation of data mining in fundamental areas of biomedical research: genomics, proteomics, protein characterization, and neuroscience.

Data Mining in Biomedicine (Hardcover, 2007 ed.): Panos M. Pardalos, Vladimir L Boginski, Alkis Vazacopoulos Data Mining in Biomedicine (Hardcover, 2007 ed.)
Panos M. Pardalos, Vladimir L Boginski, Alkis Vazacopoulos
R6,135 Discovery Miles 61 350 Ships in 10 - 15 working days

This volume presents an extensive collection of chapters covering various aspects of the exciting and important research area of data mining techniques in biomedicine. The topics include: - new approaches for the analysis of biomedical data, - applications of data mining techniques to real-life problems in medical practice, - comprehensive reviews of recent trends in the field. The book addresses the problems arising in fundamental areas of biomedical research, such as genomics, proteomics, protein characterization, and neuroscience. This volume would be of interest to scientists and practitioners working in the field of biomedicine, as well as related areas of engineering, mathematics, and computer science. It can also be helpful to graduate students and young researchers looking for new exciting directions in their work. Since each chapter can be read independently, readers interested in specific problems and applications may find the material of certain chapters useful.

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