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Data Mining and Applications in Genomics [Paperback]

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  • Category: Books (Computers)
  • ISBN-10:  9048180406
  • ISBN-10:  9048180406
  • ISBN-13:  9789048180400
  • ISBN-13:  9789048180400
  • Publisher:  Springer
  • Publisher:  Springer
  • Pages:  152
  • Pages:  152
  • Binding:  Paperback
  • Binding:  Paperback
  • Pub Date:  01-Mar-2010
  • Pub Date:  01-Mar-2010
  • Author:  Ao, Sio-Iong
  • Author:  Ao, Sio-Iong
  • SKU:  9048180406-11-SPRI
  • SKU:  9048180406-11-SPRI
  • Item ID: 100956412
  • List Price: $109.99
  • Seller: ShopSpell
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  • Delivery by: Jul 04 to Jul 06
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Data Mining and Applications in Genomics contains the data mining algorithms and their applications in genomics, with frontier case studies based on the recent and current works at the University of Hong Kong and the Oxford University Computing Laboratory, University of Oxford. It provides a systematic introduction to the use of data mining algorithms as an investigative tool for applications in genomics. Data Mining and Applications in Genomics offers state of the art of tremendous advances in data mining algorithms and applications in genomics and also serves as an excellent reference work for researchers and graduate students working on data mining algorithms and applications in genomics.

This book provides a thorough introduction to the use of data mining algorithms as an investigative tool for applications in genomics. It then explores tremendous advances in the field and offers frontier case studies based on current research.

Data Mining and Applications in Genomics contains the data mining algorithms and their applications in genomics, with frontier case studies based on the recent and current works at the University of Hong Kong and the Oxford University Computing Laboratory, University of Oxford. It provides a systematic introduction to the use of data mining algorithms as an investigative tool for applications in genomics. Data Mining and Applications in Genomics offers state of the art of tremendous advances in data mining algorithms and applications in genomics and also serves as an excellent reference work for researchers and graduate students working on data mining algorithms and applications in genomics.

Chapter 1. Introduction. 1.1 Data Mining Algorithms. 1.2 Advances in Genomic Techniques. 1.3 Case Studies: Building Data Mining Algorithms for Genomic Applications. Chapter 2. Data Mining Algorithms. 2.1 Dimension ls$
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