namburu (11 Ergebnisse)

Paperback. Zustand: Brand New. 124 pages. 8.66x5.91x0.28 inches. In Stock.

Taschenbuch. Zustand: Neu. Ratio Analysis | K.C.P. Sugar And Industries Corporation Limited, Andhra Pradesh, India | Ratna Kishor Namburu | Taschenbuch | 68 S. | Englisch | 2014 | LAP LAMBERT Academic Publishing | EAN 9783659590535 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Taschenbuch. Zustand: Neu. Job Satisfaction of Employees | Krishna District Milk Producers Mutually-Aided Cooperative Union Ltd Vijayawada,A.P, India | Ratna Kishor Namburu | Taschenbuch | 88 S. | Englisch | 2014 | LAP LAMBERT Academic Publishing | EAN 9783659628337 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Taschenbuch. Zustand: Neu. Computations of Laminar and Turbulent Flows of Nanofluids | Viscosity and Specific Heat Measurements | Praveen Namburu (u. a.) | Taschenbuch | 124 S. | Englisch | 2016 | LAP LAMBERT Academic Publishing | EAN 9783659952463 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Taschenbuch. Zustand: Neu. Building sustainable union management relations in India | Ratna Kishor Namburu | Taschenbuch | 148 S. | Englisch | 2014 | LAP LAMBERT Academic Publishing | EAN 9783848429882 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Zustand: Sehr gut. Zustand: Sehr gut | Seiten: 628 | Sprache: Englisch | Produktart: Bücher | 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.

Zustand: New. In.

Zustand: New. In.

Taschenbuch. Zustand: Neu. Data Mining for Scientific and Engineering Applications | R. L. Grossman (u. a.) | Taschenbuch | Massive Computing | xx | Englisch | 2001 | Springer | EAN 9781402001147 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.