Language: English
Published by Woodhead Publishing Ltd, 2015
ISBN 10: 0081001002 ISBN 13: 9780081001004
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hardcover. Condition: Very Good. Data Mining for Bioinformatics Applications This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping. .
Language: English
Published by Woodhead Publishing Ltd -, 2015
ISBN 10: 0081001002 ISBN 13: 9780081001004
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Language: English
Published by Woodhead Publishing Ltd 2015-07-15, 2015
ISBN 10: 0081001002 ISBN 13: 9780081001004
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Condition: gut. 2015. Data Mining for Bioinformatics Applications In englischer Sprache. pages.
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Language: English
Published by Elsevier Science and Technology, GB, 2015
ISBN 10: 0081001002 ISBN 13: 9780081001004
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Add to basketHardback. Condition: New. Data Mining for Bioinformatics Applications provides valuable information on the data mining methods have been widely used for solving real bioinformatics problems, including problem definition, data collection, data preprocessing, modeling, and validation. The text uses an example-based method to illustrate how to apply data mining techniques to solve real bioinformatics problems, containing 45 bioinformatics problems that have been investigated in recent research. For each example, the entire data mining process is described, ranging from data preprocessing to modeling and result validation.
Condition: New. Provides valuable information on the data mining methods have been widely used for solving real bioinformatics problems Uses an example-based method to illustrate how to apply data mining techniques to solve real bioinformatics problems.
Language: English
Published by Elsevier Science and Technology, GB, 2015
ISBN 10: 0081001002 ISBN 13: 9780081001004
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Add to basketHardback. Condition: New. Data Mining for Bioinformatics Applications provides valuable information on the data mining methods have been widely used for solving real bioinformatics problems, including problem definition, data collection, data preprocessing, modeling, and validation. The text uses an example-based method to illustrate how to apply data mining techniques to solve real bioinformatics problems, containing 45 bioinformatics problems that have been investigated in recent research. For each example, the entire data mining process is described, ranging from data preprocessing to modeling and result validation.
Language: English
Published by Woodhead Publishing Ltd, 2015
ISBN 10: 0081001002 ISBN 13: 9780081001004
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Language: English
Published by Elsevier Inc Jun 2015, 2015
ISBN 10: 0081001002 ISBN 13: 9780081001004
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Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Data Mining for Bioinformatics Applications provides valuable information on the data mining methods have been widely used for solving real bioinformatics problems, including problem definition, data collection, data preprocessing, modeling, and validation. The text uses an example-based method to illustrate how to apply data mining techniques to solve real bioinformatics problems, containing 45 bioinformatics problems that have been investigated in recent research. For each example, the entire data mining process is described, ranging from data preprocessing to modeling and result validation. 100 pp. Englisch.
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Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Data Mining for Bioinformatics Applications provides valuable information on the data mining methods have been widely used for solving real bioinformatics problems, including problem definition, data collection, data preprocessing, modeling, and validation. The text uses an example-based method to illustrate how to apply data mining techniques to solve real bioinformatics problems, containing 45 bioinformatics problems that have been investigated in recent research. For each example, the entire data mining process is described, ranging from data preprocessing to modeling and result validation.