Data Mining in Biomedicine (Springer by Panos M. Pardalos (.PDF)
File Size: 37 MB
Data Mining in Biomedicine (Springer Optimization and Its Applications, 7) by Panos M. Pardalos, Vladimir L. Boginski, Alkis Vazacopoulos
Requirements: .PDF reader, 37 MB
Overview: 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.
Genre: Non-Fiction > Educational
Free Download links: