. .
Deutsch
Deutschland
Ähnliche Bücher
Weitere, andere Bücher, die diesem Buch sehr ähnlich sein könnten:
Suchtools
Anmelden

Anmelden mit Facebook:

Registrieren
Passwort vergessen?


Such-Historie
Merkliste
Links zu eurobuch.com

Dieses Buch teilen auf…
Buchtipps
Aktuelles
Tipp von eurobuch.com
FILTER
- 0 Ergebnisse
Kleinster Preis: 63,49 €, größter Preis: 84,13 €, Mittelwert: 74,93 €
Foundations of Intelligent Data Analysis - Frank Klawonn#Frank Höppner#Christian Borgelt#Michael R. Berthold
Vergriffenes Buch, derzeit bei uns nicht verfügbar.
(*)
Frank Klawonn#Frank Höppner#Christian Borgelt#Michael R. Berthold:

Foundations of Intelligent Data Analysis - neues Buch

ISBN: 9781848822597

ID: 180173628

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 ones 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. This is a systematic overview and classification of tasks in data analysis, methods to solve them and typical problems encountered. The book combines views from classical and non-classical statistics like Bayesian inference and robust statistics. Buch (fremdspr.) Bücher>Fremdsprachige Bücher>Englische Bücher, Springer

Neues Buch Thalia.de
No. 16117043 Versandkosten:, Sofort lieferbar, DE (EUR 0.00)
Details...
(*) Derzeit vergriffen bedeutet, dass dieser Titel momentan auf keiner der angeschlossenen Plattform verfügbar ist.
Guide to Intelligent Data Analysis: How to Intelligently Make Sense of Real Data - Michael R. Berthold
Vergriffenes Buch, derzeit bei uns nicht verfügbar.
(*)

Michael R. Berthold:

Guide to Intelligent Data Analysis: How to Intelligently Make Sense of Real Data - neues Buch

ISBN: 9781848822597

ID: 978184882259

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. Michael R. Berthold, Books, Computers, Guide to Intelligent Data Analysis: How to Intelligently Make Sense of Real Data Books>Computers, Springer London

Neues Buch Indigo.ca
new Free shipping on orders above $25 Versandkosten:zzgl. Versandkosten
Details...
(*) Derzeit vergriffen bedeutet, dass dieser Titel momentan auf keiner der angeschlossenen Plattform verfügbar ist.
Guide to Intelligent Data Analysis: How to Intelligently Make Sense of Real Data - Berthold, Michael R. / Borgelt, Christian / Hoppner, Frank
Vergriffenes Buch, derzeit bei uns nicht verfügbar.
(*)
Berthold, Michael R. / Borgelt, Christian / Hoppner, Frank:
Guide to Intelligent Data Analysis: How to Intelligently Make Sense of Real Data - gebrauchtes Buch

ISBN: 9781848822597

ID: 7531037

This book provides a systematic overview and classification of tasks in data analysis, methods to solve them and typical problems encountered. Different views from classical and non-classical statistics like Bayesian inference and robust statistics, exploratory data analysis, data mining and machine learning are combined together to provide a better understanding of the methods, their potentials and limitations. Features: a Focuses on validation and pitfalls related to real world applications of these techniques a Presents different approaches, analysing their advantages and disadvantages for certain types of tasks including exploratory data analysis, data mining, classical statistics and robust statistics a Contains case studies and examples to enhance understanding a A supplementary website provides numerous hands-on examples This collective view of data analysis problems and methods, their potentials and limitations is an indispensable learning tool for graduate and advanced undergraduate students. Guide to Intelligent Data Analysis: How to Intelligently Make Sense of Real Data Berthold, Michael R. / Borgelt, Christian / Hoppner, Frank, Springer

gebrauchtes bzw. antiquarisches Buch Betterworldbooks.com
Versandkosten:zzgl. Versandkosten
Details...
(*) Derzeit vergriffen bedeutet, dass dieser Titel momentan auf keiner der angeschlossenen Plattform verfügbar ist.
Guide to Intelligent Data Analysis - Michael R. Berthold; Christian Borgelt; Frank Höppner; Frank Klawonn
Vergriffenes Buch, derzeit bei uns nicht verfügbar.
(*)
Michael R. Berthold; Christian Borgelt; Frank Höppner; Frank Klawonn:
Guide to Intelligent Data Analysis - neues Buch

ISBN: 9781848822597

ID: 9781848822597

Computer Science; Artificial Intelligence (incl. Robotics) KNIME, bioinformatics, calculus, classification, cognition, data analysis, databases, knowledge, modeling, pattern recognition, statistics Books Book, Springer Science+Business Media

Neues Buch Springer.com
This is a systematic overview and classification of tasks in data analysis, methods to solve them and typical problems encountered. The book combines views from classical and non-classical statistics like Bayesian inference and robust statistics. Versandkosten:zzgl. Versandkosten
Details...
(*) Derzeit vergriffen bedeutet, dass dieser Titel momentan auf keiner der angeschlossenen Plattform verfügbar ist.
Guide to Intelligent Data Analysis - Borgelt, Christian; Berthold, Michael R.; Hppner, Frank
Vergriffenes Buch, derzeit bei uns nicht verfügbar.
(*)
Borgelt, Christian; Berthold, Michael R.; Hppner, Frank:
Guide to Intelligent Data Analysis - neues Buch

ISBN: 9781848822597

ID: 973451

No Description Available Formal Sciences Formal Sciences eBook, Springer

Neues Buch Ebooks.com
Versandkosten:zzgl. Versandkosten
Details...
(*) Derzeit vergriffen bedeutet, dass dieser Titel momentan auf keiner der angeschlossenen Plattform verfügbar ist.

< zum Suchergebnis...
Details zum Buch
Foundations of Intelligent Data Analysis
Autor:

Berthold, Michael R.; Borgelt, Christian; Höppner, Frank; Klawonn, Frank

Titel:

Foundations of Intelligent Data Analysis

ISBN-Nummer:

1848822596

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.

Detailangaben zum Buch - Foundations of Intelligent Data Analysis


EAN (ISBN-13): 9781848822597
ISBN (ISBN-10): 1848822596
Gebundene Ausgabe
Erscheinungsjahr: 2010
Herausgeber: Springer-Verlag GmbH
397 Seiten
Gewicht: 0,874 kg
Sprache: eng/Englisch

Buch in der Datenbank seit 25.11.2007 23:31:33
Buch zuletzt gefunden am 15.02.2017 20:30:33
ISBN/EAN: 1848822596

ISBN - alternative Schreibweisen:
1-84882-259-6, 978-1-84882-259-7

< zum Suchergebnis...
< zum Archiv...
Benachbarte Bücher