Data Mining: Concepts and Techniques

Data Mining: Concepts and Techniques
Author :
Publisher : Elsevier
Total Pages : 740
Release :
ISBN-10 : 9780123814807
ISBN-13 : 0123814804
Rating : 4/5 (07 Downloads)

Book Synopsis Data Mining: Concepts and Techniques by : Jiawei Han

Download or read book Data Mining: Concepts and Techniques written by Jiawei Han and published by Elsevier. This book was released on 2011-06-09 with total page 740 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Mining: Concepts and Techniques provides the concepts and techniques in processing gathered data or information, which will be used in various applications. Specifically, it explains data mining and the tools used in discovering knowledge from the collected data. This book is referred as the knowledge discovery from data (KDD). It focuses on the feasibility, usefulness, effectiveness, and scalability of techniques of large data sets. After describing data mining, this edition explains the methods of knowing, preprocessing, processing, and warehousing data. It then presents information about data warehouses, online analytical processing (OLAP), and data cube technology. Then, the methods involved in mining frequent patterns, associations, and correlations for large data sets are described. The book details the methods for data classification and introduces the concepts and methods for data clustering. The remaining chapters discuss the outlier detection and the trends, applications, and research frontiers in data mining. This book is intended for Computer Science students, application developers, business professionals, and researchers who seek information on data mining. - Presents dozens of algorithms and implementation examples, all in pseudo-code and suitable for use in real-world, large-scale data mining projects - Addresses advanced topics such as mining object-relational databases, spatial databases, multimedia databases, time-series databases, text databases, the World Wide Web, and applications in several fields - Provides a comprehensive, practical look at the concepts and techniques you need to get the most out of your data


Data Mining: Concepts and Techniques Related Books

Data Mining: Concepts and Techniques
Language: en
Pages: 740
Authors: Jiawei Han
Categories: Computers
Type: BOOK - Published: 2011-06-09 - Publisher: Elsevier

DOWNLOAD EBOOK

Data Mining: Concepts and Techniques provides the concepts and techniques in processing gathered data or information, which will be used in various applications
Business Modeling and Data Mining
Language: en
Pages: 721
Authors: Dorian Pyle
Categories: Computers
Type: BOOK - Published: 2003-05-17 - Publisher: Elsevier

DOWNLOAD EBOOK

Business Modeling and Data Mining demonstrates how real world business problems can be formulated so that data mining can answer them. The concepts and techniqu
Data Preparation for Data Mining Using SAS
Language: en
Pages: 425
Authors: Mamdouh Refaat
Categories: Computers
Type: BOOK - Published: 2010-07-27 - Publisher: Elsevier

DOWNLOAD EBOOK

Are you a data mining analyst, who spends up to 80% of your time assuring data quality, then preparing that data for developing and deploying predictive models?
Management of Heterogeneous and Autonomous Database Systems
Language: en
Pages: 440
Authors: Ahmed K. Elmagarmid
Categories: Computers
Type: BOOK - Published: 1999 - Publisher: Morgan Kaufmann

DOWNLOAD EBOOK

An Overview of Multidatabase Systems: Past and Present / Athman Bouguettaya, Boualem Benatallah, Ahmed Elmagarmid / - Local Autonomy and Its Effects on Multidat
Enterprise Knowledge Management
Language: en
Pages: 516
Authors: David Loshin
Categories: Business & Economics
Type: BOOK - Published: 2001 - Publisher: Morgan Kaufmann

DOWNLOAD EBOOK

This volume presents a methodology for defining, measuring and improving data quality. It lays out an economic framework for understanding the value of data qua