2 edition of **Data Mining** found in the catalog.

Data Mining

Georg Zangl

- 8 Want to read
- 12 Currently reading

Published
**September 2003** by Round Oak Publishing .

Written in English

- General,
- Technology,
- Science/Mathematics

The Physical Object | |
---|---|

Format | Hardcover |

Number of Pages | 222 |

ID Numbers | |

Open Library | OL11750417M |

ISBN 10 | 0967724813 |

ISBN 10 | 9780967724812 |

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The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition (Springer Series in Statistics) Trevor Hastie out of 5 stars Introduction 1. Discuss whether or not each of the following activities is a data mining task. (a) Dividing the customers of a company according to their gender.

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Introduction to Data Mining presents fundamental concepts and algorithms for those learning data mining for the first time. Each major topic is organized into two chapters, beginning with basic concepts that.

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is a platform for academics to share research papers. UH Data Mining Hypertextbook, free for instructors courtesy NSF.

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With three in-depth case studies, a quick reference guide, bibliography, and. MEHMED KANTARDZIC, PhD, is a professor in the Department of Computer Engineering and Computer Science (CECS) in the Speed School of Engineering at the University of Louisville.

This book is an outgrowth of data mining courses at Rensselaer Polytechnic Institute (RPI) and Universidade Federal de Minas Gerais (UFMG); the RPI course has been offered every Fall since.

Data mining involves exploring and analyzing large amounts of data to find patterns for big data. The techniques came out of the fields of statistics and artificial intelligence (AI), with a bit of database .