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Data Mining for Scientific and Engineering Applications - R.L. Grossman#C. Kamath#P. Kegelmeyer#V. Kumar#R. Namburu
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R.L. Grossman#C. Kamath#P. Kegelmeyer#V. Kumar#R. Namburu:

Data Mining for Scientific and Engineering Applications - neues Buch

ISBN: 9781402001147

ID: 4556ad1c9f61d25e2a4862686521facc

Data Mining for Scientific and Engineering Applications Advances in technology are making massive data sets common in many scientific disciplines, such as astronomy, medical imaging, bio-informatics, combinatorial chemistry, remote sensing, and physics. To find useful information in these data sets, scientists and engineers are turning to data mining techniques. This book is a collection of papers based on the first two in a series of workshops on mining scientific datasets. It illustrates the diversity of problems and application areas that can benefit from data mining, as well as the issues and challenges that differentiate scientific data mining from its commercial counterpart. While the focus of the book is on mining scientific data, the work is of broader interest as many of the techniques can be applied equally well to data arising in business and web applications. Audience: This work would be an excellent text for students and researchers who are familiar with the basic principles of data mining and want to learn more about the application of data mining to their problem in science or engineering. Bücher / Fremdsprachige Bücher / Englische Bücher 978-1-4020-0114-7, Springer

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R.L. Grossman#C. Kamath#P. Kegelmeyer#V. Kumar#R. Namburu:

Data Mining for Scientific and Engineering Applications - neues Buch

ISBN: 9781402001147

ID: 120898108

Advances in technology are making massive data sets common in many scientific disciplines, such as astronomy, medical imaging, bio-informatics, combinatorial chemistry, remote sensing, and physics. To find useful information in these data sets, scientists and engineers are turning to data mining techniques. This book is a collection of papers based on the first two in a series of workshops on mining scientific datasets. It illustrates the diversity of problems and application areas that can benefit from data mining, as well as the issues and challenges that differentiate scientific data mining from its commercial counterpart. While the focus of the book is on mining scientific data, the work is of broader interest as many of the techniques can be applied equally well to data arising in business and web applications. Audience: This work would be an excellent text for students and researchers who are familiar with the basic principles of data mining and want to learn more about the application of data mining to their problem in science or engineering. Data Mining for Scientific and Engineering Applications Buch (fremdspr.) Bücher>Fremdsprachige Bücher>Englische Bücher, Springer

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Data Mining for Scientific and Engineering Applications - Robert L. Grossman
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Robert L. Grossman:
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ISBN: 9781402001147

Paperback, [PU: Kluwer Academic Publishers], Illustrates the diversity of problems and application areas that can benefit from data mining, as well as issues and challenges that differentiate scientific data mining from its commercial counterpart. This book focuses on mining scientific data. It is suitable for students and researchers who are familiar with basic principles of data mining., Databases

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Data Mining for Scientific and Engineering Applications - Robert L. Grossman; Chandrika Kamath; P. Kegelmeyer; V. Kumar
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Robert L. Grossman; Chandrika Kamath; P. Kegelmeyer; V. Kumar:
Data Mining for Scientific and Engineering Applications - Taschenbuch

2001, ISBN: 9781402001147

ID: 4898666

Softcover reprint of the original 1st ed. 2001, Softcover, Buch, [PU: Kluwer Academic Publishers]

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R.L. Grossman:
Data Mining for Scientific and Engineering Applications 1st Edition - neues Buch

ISBN: 1402001142

ID: 1402001142

Data Mining for Scientific and Engineering Applications 1st Edition Author :R.L. Grossman 9781402001147 1402001142, [PU: Springer]

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Details zum Buch
Data Mining for Scientific and Engineering Applications
Autor:

R.L. Grossman; C. Kamath; P. Kegelmeyer; V. Kumar; R. Namburu

Titel:

Data Mining for Scientific and Engineering Applications

ISBN-Nummer:

1402001142

Advances in technology are making massive data sets common in many scientific disciplines, such as astronomy, medical imaging, bio-informatics, combinatorial chemistry, remote sensing, and physics. To find useful information in these data sets, scientists and engineers are turning to data mining techniques. This book is a collection of papers based on the first two in a series of workshops on mining scientific datasets. It illustrates the diversity of problems and application areas that can benefit from data mining, as well as the issues and challenges that differentiate scientific data mining from its commercial counterpart. While the focus of the book is on mining scientific data, the work is of broader interest as many of the techniques can be applied equally well to data arising in business and web applications. Audience: This work would be an excellent text for students and researchers who are familiar with the basic principles of data mining and want to learn more about the application of data mining to their problem in science or engineering.

Detailangaben zum Buch - Data Mining for Scientific and Engineering Applications


EAN (ISBN-13): 9781402001147
ISBN (ISBN-10): 1402001142
Taschenbuch
Erscheinungsjahr: 2001
Herausgeber: Springer-Verlag GmbH
628 Seiten
Gewicht: 0,935 kg
Sprache: eng/Englisch

Buch in der Datenbank seit 07.11.2007 18:30:39
Buch zuletzt gefunden am 03.03.2016 10:40:43
ISBN/EAN: 1402001142

ISBN - alternative Schreibweisen:
1-4020-0114-2, 978-1-4020-0114-7

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