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Data mining

Data mining

by Jiawei Han, Micheline Kamber

Data miningExploration de données (Informatique)Databases & data structuresDatabase Management - Database MiningDatabase Engineering
0.0
Open Library
Open Library

About this book

"Here's the resource you need if you want to apply today's most powerful data mining techniques to meet real business challenges. Data Mining: Concepts and Techniques equips you with a sound understanding of data mining principles and teaches you proven methods for knowledge discovery in large corporate databases.". "Written expressly for database practitioners and professionals, this book begins with a conceptual introduction designed to get you up to speed. This is followed by a comprehensive and state-of-the-art coverage of data mining concepts and techniques. Each chapter functions as a stand alone guide to a critical topic, presenting proven algorithms and sound implementations ready to be used directly or with strategic modification against live data. Wherever possible, the authors raise and answer questions of utility, feasibility, optimization, and scalability, keeping your eye on the issues that will affect your project's results and your overall success." "Data Mining: Concepts and Techniques is the master reference that practitioners and researchers have long been seeking. It is also the obvious choice for academic and professional classrooms."--BOOK JACKET.

Themes & subjects

Data miningExploration de données (Informatique)Databases & data structuresDatabase Management - Database MiningDatabase EngineeringComputers

Authors

Jiawei Han, Micheline Kamber

Pages

744

Read time

≈ 19h

Editions

10

Language

English

Publisher

Morgan Kaufmann

ISBN

9780123739056

Where to buy

TR
Amazon Bookshop

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