This monograph is a detailed introductory presentation of the key classes of intelligent data analysis methods. The twelve coherently written chapters by leading experts provide complete … Mehr…
This monograph is a detailed introductory presentation of the key classes of intelligent data analysis methods. The twelve coherently written chapters by leading experts provide complete coverage of the core issues. The first half of the book is devoted to the discussion of classical statistical issues, ranging from the basic concepts of probability, through general notions of inference, to advanced multivariate and time series methods, as well as a detailed discussion of the increasingly important Bayesian approaches and Support Vector Machines. The following chapters then concentrate on the area of machine learning and artificial intelligence and provide introductions into the topics of rule induction methods, neural networks, fuzzy logic, and stochastic search methods. The book concludes with a chapter on Visualization and a higher-level overview of the IDA processes, which illustrates the breadth of application of the presented ideas. Buch (fremdspr.) Michael R. Berthold#David J. Hand gebundene Ausgabe, Springer Berlin, 07.11.2006, Springer Berlin, 2006<
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This monograph is a detailed introductory presentation of the key classes of intelligent data analysis methods. The twelve coherently written chapters by leading experts provide complete … Mehr…
This monograph is a detailed introductory presentation of the key classes of intelligent data analysis methods. The twelve coherently written chapters by leading experts provide complete coverage of the core issues. The first half of the book is devoted to the discussion of classical statistical issues, ranging from the basic concepts of probability, through general notions of inference, to advanced multivariate and time series methods, as well as a detailed discussion of the increasingly important Bayesian approaches and Support Vector Machines. The following chapters then concentrate on the area of machine learning and artificial intelligence and provide introductions into the topics of rule induction methods, neural networks, fuzzy logic, and stochastic search methods. The book concludes with a chapter on Visualization and a higher-level overview of the IDA processes, which illustrates the breadth of application of the presented ideas. Bücher > Fremdsprachige Bücher > Englische Bücher > Ratgeber & Freizeit 241 x 160 x 38 mm , Springer Berlin, Springer Berlin<
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(*) Derzeit vergriffen bedeutet, dass dieser Titel momentan auf keiner der angeschlossenen Plattform verfügbar ist.
This monograph is a detailed introductory presentation of the key classes of intelligent data analysis methods. The twelve coherently written chapters by leading experts provide complete … Mehr…
This monograph is a detailed introductory presentation of the key classes of intelligent data analysis methods. The twelve coherently written chapters by leading experts provide complete coverage of the core issues. The first half of the book is devoted to the discussion of classical statistical issues, ranging from the basic concepts of probability, through general notions of inference, to advanced multivariate and time series methods, as well as a detailed discussion of the increasingly important Bayesian approaches and Support Vector Machines. The following chapters then concentrate on the area of machine learning and artificial intelligence and provide introductions into the topics of rule induction methods, neural networks, fuzzy logic, and stochastic search methods. The book concludes with a chapter on Visualization and a higher-level overview of the IDA processes, which illustrates the breadth of application of the presented ideas. Books > Computer Science Hard cover, Springer Shop<
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(*) Derzeit vergriffen bedeutet, dass dieser Titel momentan auf keiner der angeschlossenen Plattform verfügbar ist.
This monograph is a detailed introductory presentation of the key classes of intelligent data analysis methods. The twelve coherently written chapters by leading experts provide complete … Mehr…
This monograph is a detailed introductory presentation of the key classes of intelligent data analysis methods. The twelve coherently written chapters by leading experts provide complete coverage of the core issues. The first half of the book is devoted to the discussion of classical statistical issues, ranging from the basic concepts of probability, through general notions of inference, to advanced multivariate and time series methods, as well as a detailed discussion of the increasingly important Bayesian approaches and Support Vector Machines. The following chapters then concentrate on the area of machine learning and artificial intelligence and provide introductions into the topics of rule induction methods, neural networks, fuzzy logic, and stochastic search methods. The book concludes with a chapter on Visualization and a higher-level overview of the IDA processes, which illustrates the breadth of application of the presented ideas. Buch (fremdspr.) Michael R. Berthold#David J. Hand gebundene Ausgabe, Springer Berlin, 07.11.2006, Springer Berlin, 2006<
Nr. 3141911. Versandkosten:Lieferzeiten außerhalb der Schweiz 3 bis 21 Werktage, , Versandfertig innert 6 - 9 Werktagen, zzgl. Versandkosten. (EUR 16.88)
This monograph is a detailed introductory presentation of the key classes of intelligent data analysis methods. The twelve coherently written chapters by leading experts provide complete … Mehr…
This monograph is a detailed introductory presentation of the key classes of intelligent data analysis methods. The twelve coherently written chapters by leading experts provide complete coverage of the core issues. The first half of the book is devoted to the discussion of classical statistical issues, ranging from the basic concepts of probability, through general notions of inference, to advanced multivariate and time series methods, as well as a detailed discussion of the increasingly important Bayesian approaches and Support Vector Machines. The following chapters then concentrate on the area of machine learning and artificial intelligence and provide introductions into the topics of rule induction methods, neural networks, fuzzy logic, and stochastic search methods. The book concludes with a chapter on Visualization and a higher-level overview of the IDA processes, which illustrates the breadth of application of the presented ideas. Bücher > Fremdsprachige Bücher > Englische Bücher > Ratgeber & Freizeit 241 x 160 x 38 mm , Springer Berlin, Springer Berlin<
Nr. A1000400969. Versandkosten:Lieferzeiten außerhalb der Schweiz 3 bis 21 Werktage, , Versandfertig innert 6 - 9 Werktagen, zzgl. Versandkosten. (EUR 17.28)
This monograph is a detailed introductory presentation of the key classes of intelligent data analysis methods. The twelve coherently written chapters by leading experts provide complete … Mehr…
This monograph is a detailed introductory presentation of the key classes of intelligent data analysis methods. The twelve coherently written chapters by leading experts provide complete coverage of the core issues. The first half of the book is devoted to the discussion of classical statistical issues, ranging from the basic concepts of probability, through general notions of inference, to advanced multivariate and time series methods, as well as a detailed discussion of the increasingly important Bayesian approaches and Support Vector Machines. The following chapters then concentrate on the area of machine learning and artificial intelligence and provide introductions into the topics of rule induction methods, neural networks, fuzzy logic, and stochastic search methods. The book concludes with a chapter on Visualization and a higher-level overview of the IDA processes, which illustrates the breadth of application of the presented ideas. Books > Computer Science Hard cover, Springer Shop<
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This second and revised edition contains a detailed introduction to the key classes of intelligent data analysis methods. The twelve coherently written chapters by leading experts provide complete coverage of the core issues. The first half of the book is devoted to the discussion of classical statistical issues. The following chapters concentrate on machine learning and artificial intelligence, rule induction methods, neural networks, fuzzy logic, and stochastic search methods. The book concludes with a chapter on visualization and an advanced overview of IDA processes.
Detailangaben zum Buch - Intelligent Data Analysis
EAN (ISBN-13): 9783540430605 ISBN (ISBN-10): 3540430601 Gebundene Ausgabe Erscheinungsjahr: 2003 Herausgeber: Springer Berlin 514 Seiten Gewicht: 1,043 kg Sprache: ger/Deutsch
Buch in der Datenbank seit 2007-05-27T11:42:49+02:00 (Berlin) Detailseite zuletzt geändert am 2023-07-04T18:03:12+02:00 (Berlin) ISBN/EAN: 9783540430605
ISBN - alternative Schreibweisen: 3-540-43060-1, 978-3-540-43060-5 Alternative Schreibweisen und verwandte Suchbegriffe: Autor des Buches: david hand, will berthold, michael Titel des Buches: intelligent data analysis introduction, berthold
Daten vom Verlag:
Autor/in: Michael R. Berthold Titel: Intelligent Data Analysis - An Introduction Verlag: Springer; Springer Berlin 515 Seiten Erscheinungsjahr: 2003-03-19 Berlin; Heidelberg; DE Gedruckt / Hergestellt in Deutschland. Gewicht: 1,177 kg Sprache: Englisch 186,99 € (DE)
BB; Pattern Recognition; Hardcover, Softcover / Informatik, EDV/Anwendungs-Software; Mustererkennung; Verstehen; Bayesian analysis; Data Mining; Intelligent Data Analysis; Machine Learning; Neuro-Fuzzy Data Analysis; Statistical Data Analysis; data visualization; fuzzy logic; inductive logic programming; multi-variate Analysis; statistical inference; statistical learning; time series analysis; artificial intelligence; data analysis; intelligence; kernel; logic; neural networks; Support Vector Machine; Statistical Theory and Methods; Information Storage and Retrieval; Artificial Intelligence; Probability and Statistics in Computer Science; Data Mining and Knowledge Discovery; Automated Pattern Recognition; Statistical Theory and Methods; Information Storage and Retrieval; Artificial Intelligence; Probability and Statistics in Computer Science; Data Mining and Knowledge Discovery; Wahrscheinlichkeitsrechnung und Statistik; Informationsrückgewinnung, Information Retrieval; Data Warehousing; Künstliche Intelligenz; Mathematik für Informatiker; Data Mining; Wissensbasierte Systeme, Expertensysteme; BB; BC; EA
Statistical Concepts.- Statistical Methods.- Bayesian Methods.- Support Vector and Kernel Methods.- Analysis of Time Series.- Rule Induction.- Neural Networks.- Fuzzy Logic.- Stochastic Search Methods.- Visualization.- Systems and Applications.
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