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This book is intended to review the tasks that fill the gap between the data acquisition from the source and the data mining process. A comprehensive look from a practical point of view, including basic concepts and surveying the techniques proposed in the specialized literature, is [...] chapter is a stand-alone guide to a particular data preprocessing topic, from basic concepts and detailed descriptions of classical algorithms, to an incursion of an exhaustive catalog of recent developments. The in-depth technical descriptions make this book suitable for technical professionals, researchers, senior undergraduate and graduate students in data science, computer science and engineering.
This book is intended to review the tasks that fill the gap between the data acquisition from the source and the data mining process. A comprehensive look from a practical point of view, including basic concepts and surveying the techniques proposed in the specialized literature, is [...] chapter is a stand-alone guide to a particular data preprocessing topic, from basic concepts and detailed descriptions of classical algorithms, to an incursion of an exhaustive catalog of recent developments. The in-depth technical descriptions make this book suitable for technical professionals, researchers, senior undergraduate and graduate students in data science, computer science and engineering.
Covers the set of techniques under the umbrella of data preprocessing in data mining and machine learning
A comprehensive book devoted completely to preprocessing in data mining
Written by experts in the field
Introduction.- Data Sets and Proper Statistical Analysis of Data Mining Techniques.- Data Preparation Basic Models.- Dealing with Missing Values.- Dealing with Noisy Data.- Data Reduction.- Feature Selection.- Instance Selection.- Discretization.- A Data Mining Software Package Including Data Preparation and Reduction: KEEL.
Erscheinungsjahr: | 2014 |
---|---|
Fachbereich: | Technik allgemein |
Genre: | Mathematik, Medizin, Naturwissenschaften, Technik |
Rubrik: | Naturwissenschaften & Technik |
Medium: | Buch |
Inhalt: |
xv
320 S. 41 s/w Illustr. 320 p. 41 illus. |
ISBN-13: | 9783319102467 |
ISBN-10: | 331910246X |
Sprache: | Englisch |
Herstellernummer: | 86280296 |
Einband: | Gebunden |
Autor: |
García, Salvador
Herrera, Francisco Luengo, Julián |
Hersteller: | Springer International Publishing |
Verantwortliche Person für die EU: | Springer Verlag GmbH, Tiergartenstr. 17, D-69121 Heidelberg, juergen.hartmann@springer.com |
Maße: | 241 x 160 x 24 mm |
Von/Mit: | Salvador García (u. a.) |
Erscheinungsdatum: | 11.09.2014 |
Gewicht: | 0,67 kg |
Covers the set of techniques under the umbrella of data preprocessing in data mining and machine learning
A comprehensive book devoted completely to preprocessing in data mining
Written by experts in the field
Introduction.- Data Sets and Proper Statistical Analysis of Data Mining Techniques.- Data Preparation Basic Models.- Dealing with Missing Values.- Dealing with Noisy Data.- Data Reduction.- Feature Selection.- Instance Selection.- Discretization.- A Data Mining Software Package Including Data Preparation and Reduction: KEEL.
Erscheinungsjahr: | 2014 |
---|---|
Fachbereich: | Technik allgemein |
Genre: | Mathematik, Medizin, Naturwissenschaften, Technik |
Rubrik: | Naturwissenschaften & Technik |
Medium: | Buch |
Inhalt: |
xv
320 S. 41 s/w Illustr. 320 p. 41 illus. |
ISBN-13: | 9783319102467 |
ISBN-10: | 331910246X |
Sprache: | Englisch |
Herstellernummer: | 86280296 |
Einband: | Gebunden |
Autor: |
García, Salvador
Herrera, Francisco Luengo, Julián |
Hersteller: | Springer International Publishing |
Verantwortliche Person für die EU: | Springer Verlag GmbH, Tiergartenstr. 17, D-69121 Heidelberg, juergen.hartmann@springer.com |
Maße: | 241 x 160 x 24 mm |
Von/Mit: | Salvador García (u. a.) |
Erscheinungsdatum: | 11.09.2014 |
Gewicht: | 0,67 kg |