Data mining

Name: Data mining
Author: Jiawei Han, Micheline Kamber
ISBN: 1558609016

by Jiawei Han, Micheline Kamber (2006)

Read Free Sample Buy on Amazon Audible Free Trial

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.

Setting / LocationGlobal

Story EraModern Era

Protagonist / CoreData mining Lead Character

Themes & Moods

Business & Finance Data mining Exploration de données (Informatique)Databases & data structures Database Management - Database Mining Database Engineering Modern Era

Readers who enjoyed this also loved

Object-relational DBMSs

Michael Stonebraker with Dorothy Moore

Discover why object-relational technology is ideal for supporting a broad spectrum of data types and application areas, from financial services to multimedia data. In this completely revised and updated edition, database experts Michael Stonebraker and Paul Brown explore the object-relational paradigm and examine the most recent developments in the field. Specially written for database application programmers, database analysts, and IT managers, this book includes detailed information on how to classify DBMS applications, where object-relational DBMSs fit in the database world, and what mechanisms are required to support such an engine.

Data mining

Ian H. Witten, Eibe Frank

"This book offers a thorough grounding in machine learning concepts as well as practical advice on applying machine learning tools and techniques in real-world data mining situations. Inside, you'll learn all you need to know about preparing inputs, interpreting outputs, evaluating results, and the algorithmic methods at the heart of successful data mining - including both tried-and-true techniques of the past and Java-based methods at the leading edge of contemporary research. If you're involved at any level in the work of extracting usable knowledge from large collections of data, this clearly written and effectively illustrated book will prove an invaluable resource."--Jacket.

Derrière l'État Desmarais

Robin Philpot

"A la tête de l'empire Power Corporation, Paul Desmarais est depuis longtemps l'homme d'affaires ayant le plus de pouvoir politique au Canada."

50 Ways to Make Your House & Garden Greener

Siân Berry

Des gestes faciles à mettre en oeuvre pour réduire l'empreinte écologique de sa maison et de son jardin sur la planète, pour vivre dans un environnement détoxifié, et donc mieux respirer.