ISBN: 9781852336714
The goal of this book is to help readers understand state-of-the-art techniques in biological data mining and data management and includes topics such as: - preprocessing tasks such as da… More...
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2004, ISBN: 1852336714
[EAN: 9781852336714], Neubuch, [PU: Springer London], COMPUTERS - DATA BASE MANAGEMENT DATABASES MINING SCIENCE LIFE SCIENCES BIOCHEMISTRY BIOINFORMATICS ALIGNMENT MARKOV CHAIN XML BIOLOG… More...
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2004, ISBN: 9781852336714
Hardcover
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2004, ISBN: 9781852336714
Springer, 2004-10-18. Hardcover. New. New. In shrink wrap. Looks like an interesting title!, Springer, 2004-10-18, 6
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ISBN: 9781852336714
352 S.; Ill. Hardcover, [PU: Springer]
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ISBN: 9781852336714
The goal of this book is to help readers understand state-of-the-art techniques in biological data mining and data management and includes topics such as: - preprocessing tasks such as da… More...
2004, ISBN: 1852336714
[EAN: 9781852336714], Neubuch, [PU: Springer London], COMPUTERS - DATA BASE MANAGEMENT DATABASES MINING SCIENCE LIFE SCIENCES BIOCHEMISTRY BIOINFORMATICS ALIGNMENT MARKOV CHAIN XML BIOLOG… More...
2004
ISBN: 9781852336714
Hardcover
[ED: Gebunden], [PU: Springer London], Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. No known book on this areaFirst book containing the… More...
2004, ISBN: 9781852336714
Springer, 2004-10-18. Hardcover. New. New. In shrink wrap. Looks like an interesting title!, Springer, 2004-10-18, 6
ISBN: 9781852336714
352 S.; Ill. Hardcover, [PU: Springer]
Bibliographic data of the best matching book
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Details of the book - Data Mining in Bioinformatics
EAN (ISBN-13): 9781852336714
ISBN (ISBN-10): 1852336714
Hardcover
Paperback
Publishing year: 2010
Publisher: SPRINGER VERLAG GMBH
356 Pages
Weight: 0,612 kg
Language: eng/Englisch
Book in our database since 2007-05-19T14:54:34-04:00 (New York)
Detail page last modified on 2023-10-21T14:59:00-04:00 (New York)
ISBN/EAN: 9781852336714
ISBN - alternate spelling:
1-85233-671-4, 978-1-85233-671-4
Alternate spelling and related search-keywords:
Book author: toivonen, mohammed, zaki, dennis shasha, wang
Book title: data mining, bioinformatics, data processing, knowledge mining, paderborn
Information from Publisher
Author: Jason T. L. Wang; Mohammed J. Zaki; Hannu Toivonen; Dennis Shasha
Title: Advanced Information and Knowledge Processing; Data Mining in Bioinformatics
Publisher: Springer; Springer London
340 Pages
Publishing year: 2004-10-18
London; GB
Language: English
160,49 € (DE)
164,99 € (AT)
177,00 CHF (CH)
Available
XII, 340 p. 110 illus.
BB; Hardcover, Softcover / Informatik, EDV/Informatik; Datenbanken; Verstehen; Alignment; Markov chain; XML; bioinformatics; biology; calculus; classification; clustering; computer; data analysis; data mining; database; microarray; modeling; protein; data structures; Database Management; Programming Techniques; Computer and Information Systems Applications; Data Science; Data Storage Representation; Bioinformatics; Computerprogrammierung und Softwareentwicklung; Angewandte Informatik; DV-gestützte Biologie/Bioinformatik; BC
Overview.- to Data Mining in Bioinformatics.- Survey of Biodata Analysis from a Data Mining Perspective.- Sequence and Structure Alignment.- AntiClustAl: Multiple Sequence Alignment by Antipole Clustering.- RNA Structure Comparison and Alignment.- Biological Data Mining.- Piecewise Constant Modeling of Sequential Data Using Reversible Jump Markov Chain Monte Carlo.- Gene Mapping by Pattern Discovery.- Predicting Protein Folding Pathways.- Data Mining Methods for a Systematics of Protein Subcellular Location.- Mining Chemical Compounds.- Biological Data Management.- Phyloinformatics: Toward a Phylogenetic Database.- Declarative and Efficient Querying on Protein Secondary Structures.- Scalable Index Structures for Biological Data.No known book on this area First book containing the work of key researchers in biological data mining Presents new techniques on (a) gene expression data mining, (b) gene mapping for disease detection, and (c) phylogenetic knowledge discovery, which are of increasing importance but are absent in all previously published books in the area of computational biology Organized around the major themes of modern biology: sequence studies, proteomics and developmental biology - these are core areas of present and future research Includes supplementary material: sn.pub/extras
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