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Data Mining
-
Jürgen Cleve
Language:
German
Published/Copyright:
2014
About this book
The mountains of data in modern databases conceal undiscovered knowledge that can only be brought to light with the right tools. Data Mining seeks to provide methods and algorithms to uncover previously unknown connections. The book covers the material in a one-semester university or technical college course on data mining and is conceived as a classical textbook. It includes summaries, numerous examples, and practice exercises.
- One of the first German textbooks on data mining – with numerous examples and practice exercises.
Author / Editor information
Prof. Dr. Jürgen Cleve, Hochschule Wismar
Prof. Dr. Uwe Lämmel, Hochschule Wismar
Supplementary Materials
Topics
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Frontmatter
I -
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Vorwort
V -
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Inhaltsverzeichnis
IX -
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1 Einführung
1 -
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2 Grundlagen des Data Mining
37 -
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3 Anwendungsklassen
57 -
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4 Wissensrepräsentation
69 -
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5 Klassifikation
83 -
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6 Cluster-Analyse
135 -
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7 Assoziationsanalyse
175 -
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8 Datenvorbereitung
195 -
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9 Bewertung
221 -
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10 Eine Data-Mining-Aufgabe
245 -
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A Anhang
275 -
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Abbildungsverzeichnis
283 -
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Tabellenverzeichnis
291 -
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Verzeichnis der Symbole
293 -
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Verzeichnis der Abkürzungen
295 -
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Literaturverzeichnis
297 -
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Index
303
Publishing information
Pages and Images/Illustrations in book
eBook published on:
February 3, 2014
eBook ISBN:
9783486720341
Pages and Images/Illustrations in book
Front matter:
12
Main content:
306
Illustrations:
156
Tables:
44
eBook ISBN:
9783486720341
Keywords for this book
Data mining; KNIME [Konstanz Information Miner] workflow; algorithms; cloud computing
Audience(s) for this book
For university and technical college students in Master’s level courses of study related to computer science.
