• Complain

Han Jiawei - Data mining: concepts and techniques

Here you can read online Han Jiawei - Data mining: concepts and techniques full text of the book (entire story) in english for free. Download pdf and epub, get meaning, cover and reviews about this ebook. City: Amsterdam, year: 2012;2013, publisher: Elsevier Science;Elsevier, Morgan Kaufmann, genre: Home and family. Description of the work, (preface) as well as reviews are available. Best literature library LitArk.com created for fans of good reading and offers a wide selection of genres:

Romance novel Science fiction Adventure Detective Science History Home and family Prose Art Politics Computer Non-fiction Religion Business Children Humor

Choose a favorite category and find really read worthwhile books. Enjoy immersion in the world of imagination, feel the emotions of the characters or learn something new for yourself, make an fascinating discovery.

No cover

Data mining: concepts and techniques: summary, description and annotation

We offer to read an annotation, description, summary or preface (depends on what the author of the book "Data mining: concepts and techniques" wrote himself). If you haven't found the necessary information about the book — write in the comments, we will try to find it.

The increasing volume of data in modern business and science calls for more complex and sophisticated tools. Although advances in data mining technology have made extensive data collection much easier, its still always evolving and there is a constant need for new techniques and tools that can help us transform this data into useful information and knowledge.

Since the previous editions publication, great advances have been made in the field of data mining. Not only does the third of edition of Data Mining: Concepts and Techniques continue the tradition of equipping you with an understanding and application of the theory and practice of discovering patterns hidden in large data sets, it also focuses on new, important topics in the field: data warehouses and data cube technology, mining stream, mining social networks, and mining spatial, multimedia and other complex data. Each chapter is a stand-alone guide to a critical topic, presenting proven algorithms and sound...

Han Jiawei: author's other books


Who wrote Data mining: concepts and techniques? Find out the surname, the name of the author of the book and a list of all author's works by series.

Data mining: concepts and techniques — read online for free the complete book (whole text) full work

Below is the text of the book, divided by pages. System saving the place of the last page read, allows you to conveniently read the book "Data mining: concepts and techniques" online for free, without having to search again every time where you left off. Put a bookmark, and you can go to the page where you finished reading at any time.

Light

Font size:

Reset

Interval:

Bookmark:

Make
Data Mining Concepts and Techniques Third Edition Jiawei Han University of - photo 1
Data Mining
Concepts and Techniques

Third Edition

Jiawei Han

University of Illinois at UrbanaChampaign

Micheline Kamber

Jian Pei

Simon Fraser University

Table of Contents Front Matter The Morgan Kaufmann Series in Data Management - photo 2

Table of Contents
Front Matter

The Morgan Kaufmann Series in Data Management Systems (Selected Titles)

Joe Celkos Data, Measurements, and Standards in SQL

Joe Celko

Information Modeling and Relational Databases, 2nd Edition

Terry Halpin, Tony Morgan

Joe Celkos Thinking in Sets

Joe Celko

Business Metadata

Bill Inmon, Bonnie ONeil, Lowell Fryman

Unleashing Web 2.0

Gottfried Vossen, Stephan Hagemann

Enterprise Knowledge Management

David Loshin

The Practitioners Guide to Data Quality Improvement

David Loshin

Business Process Change, 2nd Edition

Paul Harmon

IT Managers Handbook, 2nd Edition

Bill Holtsnider, Brian Jaffe

Joe Celkos Puzzles and Answers, 2nd Edition

Joe Celko

Architecture and Patterns for IT Service Management, 2nd Edition, Resource Planning and Governance

Charles Betz

Joe Celkos Analytics and OLAP in SQL

Joe Celko

Data Preparation for Data Mining Using SAS

Mamdouh Refaat

Querying XML: XQuery, XPath, and SQL/ XML in Context

Jim Melton, Stephen Buxton

Data Mining: Concepts and Techniques, 3rd Edition

Jiawei Han, Micheline Kamber, Jian Pei

Database Modeling and Design: Logical Design, 5th Edition

Toby J. Teorey, Sam S. Lightstone, Thomas P. Nadeau, H. V. Jagadish

Foundations of Multidimensional and Metric Data Structures

Hanan Samet

Joe Celkos SQL for Smarties: Advanced SQL Programming, 4th Edition

Joe Celko

Moving Objects Databases

Ralf Hartmut Gting, Markus Schneider

Joe Celkos SQL Programming Style

Joe Celko

Fuzzy Modeling and Genetic Algorithms for Data Mining and Exploration

Earl Cox

Data Modeling Essentials, 3rd Edition

Graeme C. Simsion, Graham C. Witt

Developing High Quality Data Models

Matthew West

Location-Based Services

Jochen Schiller, Agnes Voisard

Managing Time in Relational Databases: How to Design, Update, and Query Temporal Data

Tom Johnston, Randall Weis

Database Modeling with MicrosoftVisio for Enterprise Architects

Terry Halpin, Ken Evans, Patrick Hallock, Bill Maclean

Designing Data-Intensive Web Applications

Stephano Ceri, Piero Fraternali, Aldo Bongio, Marco Brambilla, Sara Comai, Maristella Matera

Mining the Web: Discovering Knowledge from Hypertext Data

Soumen Chakrabarti

Advanced SQL: 1999Understanding Object-Relational and Other Advanced Features

Jim Melton

Database Tuning: Principles, Experiments, and Troubleshooting Techniques

Dennis Shasha, Philippe Bonnet

SQL: 1999Understanding Relational Language Components

Jim Melton, Alan R. Simon

Information Visualization in Data Mining and Knowledge Discovery

Edited by Usama Fayyad, Georges G. Grinstein, Andreas Wierse

Transactional Information Systems

Gerhard Weikum, Gottfried Vossen

Spatial Databases

Philippe Rigaux, Michel Scholl, and Agnes Voisard

Managing Reference Data in Enterprise Databases

Malcolm Chisholm

Understanding SQL and Java Together

Jim Melton, Andrew Eisenberg

Database: Principles, Programming, and Performance, 2nd Edition

Patrick and Elizabeth ONeil

The Object Data Standard

Edited by R. G. G. Cattell, Douglas Barry

Data on the Web: From Relations to Semistructured Data and XML

Serge Abiteboul, Peter Buneman, Dan Suciu

Data Mining: Practical Machine Learning Tools and Techniques with Java Implementations, 3rd Edition

Ian Witten, Eibe Frank, Mark A. Hall

Joe Celkos Data and Databases: Concepts in Practice

Joe Celko

Developing Time-Oriented Database Applications in SQL

Richard T. Snodgrass

Web Farming for the Data Warehouse

Richard D. Hackathorn

Management of Heterogeneous and Autonomous Database Systems

Edited by Ahmed Elmagarmid, Marek Rusinkiewicz, Amit Sheth

Object-Relational DBMSs, 2nd Edition

Michael Stonebraker, Paul Brown, with Dorothy Moore

Universal Database Management: A Guide to Object/Relational Technology

Cynthia Maro Saracco

Readings in Database Systems, 3rd Edition

Edited by Michael Stonebraker, Joseph M. Hellerstein

Understanding SQLs Stored Procedures: A Complete Guide to SQL/PSM

Jim Melton

Principles of Multimedia Database Systems

V. S. Subrahmanian

Principles of Database Query Processing for Advanced Applications

Clement T. Yu, Weiyi Meng

Advanced Database Systems

Carlo Zaniolo, Stefano Ceri, Christos Faloutsos, Richard T. Snodgrass, V. S. Subrahmanian, Roberto Zicari

Principles of Transaction Processing, 2nd Edition

Philip A. Bernstein, Eric Newcomer

Using the New DB2: IBMs Object-Relational Database System

Don Chamberlin

Distributed Algorithms

Nancy A. Lynch

Active Database Systems: Triggers and Rules for Advanced Database Processing

Edited by Jennifer Widom, Stefano Ceri

Migrating Legacy Systems: Gateways, Interfaces, and the Incremental Approach

Michael L. Brodie, Michael Stonebraker

Atomic Transactions

Nancy Lynch, Michael Merritt, William Weihl, Alan Fekete

Query Processing for Advanced Database Systems

Edited by Johann Christoph Freytag, David Maier, Gottfried Vossen

Transaction Processing

Jim Gray, Andreas Reuter

Database Transaction Models for Advanced Applications

Edited by Ahmed K. Elmagarmid

A Guide to Developing Client/Server SQL Applications

Setrag Khoshafian, Arvola Chan, Anna Wong, Harry K. T. Wong

Copyright

Morgan Kaufmann Publishers is an imprint of Elsevier.

225 Wyman Street, Waltham, MA 02451, USA

2012 by Elsevier Inc. All rights reserved.

No part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopying, recording, or any information storage and retrieval system, without permission in writing from the publisher. Details on how to seek permission, further information about the Publishers permissions policies and our arrangements with organizations such as the Copyright Clearance Center and the Copyright Licensing Agency, can be found at our website: www.elsevier.com/permissions.

This book and the individual contributions contained in it are protected under copyright by the Publisher (other than as may be noted herein).

Notices

Next page
Light

Font size:

Reset

Interval:

Bookmark:

Make

Similar books «Data mining: concepts and techniques»

Look at similar books to Data mining: concepts and techniques. We have selected literature similar in name and meaning in the hope of providing readers with more options to find new, interesting, not yet read works.


Reviews about «Data mining: concepts and techniques»

Discussion, reviews of the book Data mining: concepts and techniques and just readers' own opinions. Leave your comments, write what you think about the work, its meaning or the main characters. Specify what exactly you liked and what you didn't like, and why you think so.