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FAST SHIP - Data Mining : Concepts and Techniques by Han, 4th International ed.

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Item specifics

Condition
Brand New: A new, unread, unused book in perfect condition with no missing or damaged pages. See all condition definitionsopens in a new window or tab
Binding
SOFTCOVER
International ISBN
9788131267660
Contents
SAME as in US edition
Packing
Shrinkwrapped- Box Packed
Product Type
INTERNATIONAL EDITION
Cover Picture
Please see 2nd Image for actual book
If Order Expedited Shipping
DELIVERED WITHIN 5-7 DAYS BY DHL/UPS/FedEx/Aramex
Cover Design
May differ from the Picture shown here
Edition
4
ISBN
9780128117606

About this product

Product Identifiers

Publisher
Elsevier Science & Technology
ISBN-10
0128117605
ISBN-13
9780128117606
eBay Product ID (ePID)
2328288692

Product Key Features

Number of Pages
752 Pages
Language
English
Publication Name
Data Mining : concepts and Techniques
Publication Year
2022
Subject
Data Modeling & Design, Intelligence (Ai) & Semantics, Computer Science, System Administration / Storage & Retrieval, Databases / Data Mining, Databases / General, Computer Vision & Pattern Recognition
Type
Textbook
Author
Hanghang Tong, Jian Pei, Jiawei Han
Subject Area
Computers
Series
The Morgan Kaufmann Series in Data Management Systems Ser.
Format
Trade Paperback

Dimensions

Item Length
9.2 in
Item Width
7.5 in

Additional Product Features

Edition Number
4
Intended Audience
College Audience
LCCN
2022-436027
Dewey Edition
22
Illustrated
Yes
Dewey Decimal
005.741
Table Of Content
1. Introduction 2. Data, measurements, and data processing 3. Data warehousing and online analytical processing 4. Pattern mining: basic concepts and methods 5. Pattern mining: advanced methods 6. Classification: basic concepts and methods 7. Classification: advanced methods 8. Cluster analysis: basic concepts and methods 9. Cluster analysis: advanced methods 10. Deep learning 11. Outlier Detection 12. Data mining trends and research frontiers Appendix: Mathematical background
Synopsis
Data Mining: Concepts and Techniques, Fourth Edition introduces concepts, principles, and methods for mining patterns, knowledge, and models from various kinds of data for diverse applications. Specifically, it delves into the processes for uncovering patterns and knowledge from massive collections of data, known as knowledge discovery from data , or KDD . It focuses on the feasibility, usefulness, effectiveness, and scalability of data mining techniques for large data sets. After an introduction to the concept of data mining, the authors explain the methods for preprocessing, characterizing, and warehousing data. They then partition the data mining methods into several major tasks, introducing concepts and methods for mining frequent patterns, associations, and correlations for large data sets; data classificcation and model construction; cluster analysis; and outlier detection. Concepts and methods for deep learning are systematically introduced as one chapter. Finally, the book covers the trends, applications, and research frontiers in data mining.
LC Classification Number
QA76.9.D343H36 2022

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