Publicado por Springer, 2012
ISBN 10: 144712572X ISBN 13: 9781447125723
Librería: Phatpocket Limited, Waltham Abbey, HERTS, Reino Unido
Condición: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.
Publicado por Springer, 2012
ISBN 10: 144712572X ISBN 13: 9781447125723
Librería: booksXpress, Bayonne, NJ, Estados Unidos de America
Soft Cover. Condición: new.
Publicado por Springer, 2012
ISBN 10: 144712572X ISBN 13: 9781447125723
Librería: Lucky's Textbooks, Dallas, TX, Estados Unidos de America
Condición: New.
Publicado por Springer, 2012
ISBN 10: 144712572X ISBN 13: 9781447125723
Librería: Ria Christie Collections, Uxbridge, Reino Unido
Condición: New. PRINT ON DEMAND Book; New; Fast Shipping from the UK. No. book.
Publicado por Springer, 2012
ISBN 10: 144712572X ISBN 13: 9781447125723
Librería: GF Books, Inc., Hawthorne, CA, Estados Unidos de America
Condición: New. Book is in NEW condition. 1.58.
Publicado por Springer, 2012
ISBN 10: 144712572X ISBN 13: 9781447125723
Librería: Book Deals, Tucson, AZ, Estados Unidos de America
Condición: New. New! This book is in the same immaculate condition as when it was published 1.58.
Publicado por Springer London Sep 2012, 2012
ISBN 10: 144712572X ISBN 13: 9781447125723
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Each passing year bears witness to the development of ever more powerful computers, increasingly fast and cheap storage media, and even higher bandwidth data connections. This makes it easy to believe that we can now - at least in principle - solve any problem we are faced with so long as we only have enough data.Yet this is not the case. Although large databases allow us to retrieve many different single pieces of information and to compute simple aggregations, general patterns and regularities often go undetected. Furthermore, it is exactly these patterns, regularities and trends that are often most valuable.To avoid the danger of 'drowning in information, but starving for knowledge' the branch of research known as data analysis has emerged, and a considerable number of methods and software tools have been developed. However, it is not these tools alone but the intelligent application of human intuition in combination with computational power, of sound background knowledge with computer-aided modeling, and of critical reflection with convenient automatic model construction, that results in successful intelligent data analysis projects. Guide to Intelligent Data Analysis provides a hands-on instructional approach to many basic data analysis techniques, and explains how these are used to solve data analysis problems.Topics and features: guides the reader through the process of data analysis, following the interdependent steps of project understanding, data understanding, data preparation, modeling, and deployment and monitoring; equips the reader with the necessary information in order to obtain hands-on experience of the topics under discussion; provides a review of the basics of classical statistics that support and justify many data analysis methods, and a glossary of statistical terms; includes numerous examples using R and KNIME, together with appendices introducing the open source software; integrates illustrations and case-study-style examples to support pedagogical exposition.This practical and systematic textbook/reference for graduate and advanced undergraduate students is also essential reading for all professionals who face data analysis problems. Moreover, it is a book to be used following one's exploration of it.Dr. Michael R. Berthold is Nycomed-Professor of Bioinformatics and Information Mining at the University of Konstanz, Germany. Dr. Christian Borgelt is Principal Researcher at the Intelligent Data Analysis and Graphical Models Research Unit of the European Centre for Soft Computing, Spain. Dr. Frank Höppner is Professor of Information Systems at Ostfalia University of Applied Sciences, Germany. Dr. Frank Klawonn is a Professor in the Department of Computer Science and Head of the Data Analysis and Pattern Recognition Laboratory at Ostfalia University of Applied Sciences, Germany. He is also Head of the Bioinformatics and Statistics group at the Helmholtz Centre for Infection Research, Braunschweig, Germany. 408 pp. Englisch.
Publicado por Springer 2012-09, 2012
ISBN 10: 144712572X ISBN 13: 9781447125723
Librería: Chiron Media, Wallingford, Reino Unido
PF. Condición: New.
Publicado por Springer-Verlag New York Inc, 2013
ISBN 10: 144712572X ISBN 13: 9781447125723
Librería: Revaluation Books, Exeter, Reino Unido
Paperback. Condición: Brand New. 2010 edition. 407 pages. 9.21x6.14x1.02 inches. In Stock.
Publicado por Springer London Ltd, 2012
ISBN 10: 144712572X ISBN 13: 9781447125723
Librería: THE SAINT BOOKSTORE, Southport, Reino Unido
Paperback / softback. Condición: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
Publicado por Springer London, 2012
ISBN 10: 144712572X ISBN 13: 9781447125723
Librería: AHA-BUCH GmbH, Einbeck, Alemania
Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - Each passing year bears witness to the development of ever more powerful computers, increasingly fast and cheap storage media, and even higher bandwidth data connections. This makes it easy to believe that we can now - at least in principle - solve any problem we are faced with so long as we only have enough data.Yet this is not the case. Although large databases allow us to retrieve many different single pieces of information and to compute simple aggregations, general patterns and regularities often go undetected. Furthermore, it is exactly these patterns, regularities and trends that are often most valuable.To avoid the danger of 'drowning in information, but starving for knowledge' the branch of research known as data analysis has emerged, and a considerable number of methods and software tools have been developed. However, it is not these tools alone but the intelligent application of human intuition in combination with computational power, of sound background knowledge with computer-aided modeling, and of critical reflection with convenient automatic model construction, that results in successful intelligent data analysis projects. Guide to Intelligent Data Analysis provides a hands-on instructional approach to many basic data analysis techniques, and explains how these are used to solve data analysis problems.Topics and features: guides the reader through the process of data analysis, following the interdependent steps of project understanding, data understanding, data preparation, modeling, and deployment and monitoring; equips the reader with the necessary information in order to obtain hands-on experience of the topics under discussion; provides a review of the basics of classical statistics that support and justify many data analysis methods, and a glossary of statistical terms; includes numerous examples using R and KNIME, together with appendices introducing the open source software; integrates illustrations and case-study-style examplesto support pedagogical exposition.This practical and systematic textbook/reference for graduate and advanced undergraduate students is also essential reading for all professionals who face data analysis problems. Moreover, it is a book to be used following one's exploration of it.Dr. Michael R. Berthold is Nycomed-Professor of Bioinformatics and Information Mining at the University of Konstanz, Germany. Dr. Christian Borgelt is Principal Researcher at the Intelligent Data Analysis and Graphical Models Research Unit of the European Centre for Soft Computing, Spain. Dr. Frank Höppner is Professor of Information Systems at Ostfalia University of Applied Sciences, Germany. Dr. Frank Klawonn is a Professor in the Department of Computer Science and Head of the Data Analysis and Pattern Recognition Laboratory at Ostfalia University of Applied Sciences, Germany. He is also Head of the Bioinformatics and Statistics group at the Helmholtz Centre for Infection Research, Braunschweig, Germany.
Publicado por Springer London, 2012
ISBN 10: 144712572X ISBN 13: 9781447125723
Librería: moluna, Greven, Alemania
Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents a broad-range of perspectives on data analysis, providing readers with a comprehensive account of the fieldFocuses on the practical aspects as well as presenting the theory comprehensivelyA special emphasis is given to put on pointing out the pitfa.