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8 edition of Advanced Data Mining Technologies in Bioinformatics found in the catalog.

Advanced Data Mining Technologies in Bioinformatics

by Hui-Huang Hsu

  • 321 Want to read
  • 1 Currently reading

Published by Idea Group Publishing .
Written in English

    Subjects:
  • Biology, Life Sciences,
  • General,
  • Computers - Data Base Management,
  • Computers,
  • Computer Books: Database,
  • Life Sciences - Biochemistry,
  • Database Management - Database Mining,
  • Bioinformatics,
  • Data mining

  • The Physical Object
    FormatHardcover
    Number of Pages329
    ID Numbers
    Open LibraryOL8855054M
    ISBN 101591408636
    ISBN 109781591408635

    Read the full-text online edition of The Handbook of Data Mining (). Advanced technologies have enabled the collection of large amounts of data in many fields. This data contains valuable information and knowledge that heretofore could not be used. Mining Data in Bioinformatics Research in data mining has two general directions: theoretical foundations and advanced technologies and applications. In this talk, we will focus on the research issues for advanced technologies and applications in data mining and discuss some recent progress in this direction, including (1) pattern mining, usage, and understanding, (2) information network analysis, (3) Cited by: 1.

    Bioinformatics - Trends and Methodologies is a collection of different views on most recent topics and basic concepts in bioinformatics. This book suits young researchers who seek basic fundamentals of bioinformatic skills such as data mining, data integration, sequence analysis and gene expression analysis as well as scientists who are. Advanced Data Mining Technologies in Bioinformatics covers important research topics of data mining on bioinformatics. Readers of this book will gain an understanding of the basics and problems of bioinformatics, as well as the applications of data mining technologies in tackling the problems and the essential research topics in the field.

    Covering theory, algorithms, and methodologies, as well as data mining technologies, Data Mining for Bioinformatics provides a comprehensive discussion of data-intensive computations used in data mining with applications in bioinformatics. It supplies a broad, yet in-depth, overview of the application domains of data mining for bioinformatics to help readers from both biology and . The Bioinformatics book covers new topics in the rapidly expanding field of bioinformatics, from next-generation sequencing to drug discovery and .


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Advanced Data Mining Technologies in Bioinformatics by Hui-Huang Hsu Download PDF EPUB FB2

Advanced Data Mining Technologies in Bioinformatics by Hui-Huang Hsu (Editor) ISBN ISBN Why is ISBN important. ISBN. This bar-code number lets you verify that you're getting exactly the right version or edition of a book.

The digit and digit formats both work. Format: Hardcover. Advanced Data Mining Technologies in Bioinformatics covers important research topics of data mining on bioinformatics. Readers of this book will gain an understanding of the basics and problems of bioinformatics, as well as the applications of data mining technologies in tackling the problems and the essential research topics in the field.

Get this from a library. Advanced data mining technologies in bioinformatics. [Hui-Huang Hsu;] -- "This book covers research topics of data mining on bioinformatics presenting the basics and problems of bioinformatics and applications of data mining technologies pertaining to the field".

essential bioinformatics Download essential bioinformatics or read online books in PDF, EPUB, Tuebl, and Mobi Format. Click Download or Read Online button to get essential bioinformatics book now. This site is like a library, Use search box in the widget to get ebook that you want. Covering theory, algorithms, and methodologies, as well as data mining technologies, Data Mining for Bioinformatics provides a comprehensive discussion of data-intensive computations used in data mining with applications in bioinformatics.

It supplies a broad, yet in-depth, overview of the application domains of data mining for bioinformatics to help readers from both biology and Cited by: 8. "Advanced Data Mining Technologies in Bioinformatics" covers important research topics of data mining on bioinformatics.

Readers of this book will gain an understanding of the basics and problems of bioinformatics, as well as the applications of data mining technologies in tackling the problems and the essential research topics in the field. Introduction to Data Mining in Bioinformatics: /ch Bioinformatics uses information technologies to facilitate the discovery of new knowledge in molecular biology.

Among the information technologies, dataCited by: 2. ""Advanced Data Mining Technologies in Bioinformatics"" covers important research topics of data mining on bioinformatics. Readers of this book will gain an understanding of the basics and problems of bioinformatics, as well as the applications of data mining technologies in tackling the problems and the essential research topics in the field.

Bayesian methods play a role central to the future of data and knowledge integration in the field of Bioinformatics. This book is devoted exclusively to Bayesian methods of analysis for applications to high-throughput gene expression data, exploring the.

Summary. Covering theory, algorithms, and methodologies, as well as data mining technologies, Data Mining for Bioinformatics provides a comprehensive discussion of data-intensive computations used in data mining with applications in bioinformatics. It supplies a broad, yet in-depth, overview of the application domains of data mining for bioinformatics to help readers.

Bioinformatics is an integrative field of computer science, genetics, genomics, proteomics, and statistics, which has undoubtedly revolutionized the study of biology and medicine in past decades. It mainly assists in modeling, predicting and interpreting large multidimensional biological data by utilizing advanced computational methods.

This book wishes to cover advanced data mining technologies in solving such problems. The audiences of this book are senior or graduate students majoring in computer sci-ence, computer engineering, or management information system (MIS) with interests in data mining and applications to bioinformatics.

Professional instructors and research. Book Description. Covering theory, algorithms, and methodologies, as well as data mining technologies, Data Mining for Bioinformatics provides a comprehensive discussion of data-intensive computations used in data mining with applications in bioinformatics.

It supplies a broad, yet in-depth, overview of the application domains of data mining for bioinformatics to help. Биоинформатика - Hui-Huang Hsu - Advanced Data Mining Technologies in Bioinformatics [, PDF, ENG]» Инженерные и научные программы (книги):: Статьи: Chapter I introduces the concept and the process of data mining, plus its relationship with bioinformatics.

Tasks and techniques of data mining are also presented. At the end, selected bioinformatics problems related to data mining are discussed. It. "This readable survey describes multimedia, soft computing, and bioinformatics strategies for a number of data types " (Business Horizons, September- October ) " an accessible introduction to fundamental and advanced data mining technologies.

It will be an excellent book for both beginners and professionals.". Bioinformatics Technologies. The central issue of this emerging field is the transformation of often distributed and unstructured biological data into meaningful information.

This book describes the application of well-established concepts and techniques from areas like data mining, machine learning, database technologies, and visualization. Bioinformatics Technologies. Editors: Chen, Yi-Ping The central issue of this emerging field is the transformation of often distributed and unstructured biological data into meaningful information.

This book describes the application of well-established concepts and techniques from areas like data mining, machine learning, database. Covering theory, algorithms, and methodologies, as well as data mining technologies, Data Mining for Bioinformatics provides a comprehensive discussion of data-intensive computations used in data mining with applications in supplies a broad, yet in-depth, overview of the application domains of data mining for bioinformatics to help.

This book wishes to cover advanced data mining technologies in solving such problems. The audiences of this book are senior or graduate students majoring in computer sci-ence, computer engineering, or management information system (MIS) with interests in data mining and applications to bioinformatics.

Covering theory, algorithms, and methodologies, as well as data mining technologies, Data Mining for Bioinformatics provides a comprehensive discussion of data-intensive computations used in data mining with applications in bioinformatics.Mining bioinformatics data is an emerging area at the intersection between bioinformatics and data mining.

The objective of IJDMB is to facilitate collaboration between data mining researchers and bioinformaticians by presenting cutting edge research topics and methodologies in the area of data mining for bioinformatics. This perspective acknowledges the inter-disciplinary nature of .The book offers authoritative coverage of data mining techniques, technologies, and frameworks used for storing, analyzing, and extracting knowledge from large databases in the bioinformatics domains, including genomics and proteomics.