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The Morgan Kaufmann Series in Data Management Systems Ser.: Data Mining : Concepts and Techniques by Hanghang Tong, Jian Pei and Jiawei Han (2022, Trade Paperback)
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- Buy it nowData Mining: Concepts and Techniques by Han 4th INTL Ed -'Ship from USA'
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About this product
Product Identifiers
PublisherElsevier Science & Technology
ISBN-100128117605
ISBN-139780128117606
eBay Product ID (ePID)2328288692
Product Key Features
Number of Pages752 Pages
LanguageEnglish
Publication NameData Mining : concepts and Techniques
Publication Year2022
SubjectData Modeling & Design, Intelligence (Ai) & Semantics, Computer Science, System Administration / Storage & Retrieval, Databases / Data Mining, Databases / General, Computer Vision & Pattern Recognition
TypeTextbook
AuthorHanghang Tong, Jian Pei, Jiawei Han
Subject AreaComputers
SeriesThe Morgan Kaufmann Series in Data Management Systems Ser.
FormatTrade Paperback
Dimensions
Item Length9.2 in
Item Width7.5 in
Additional Product Features
Edition Number4
Intended AudienceCollege Audience
LCCN2022-436027
Dewey Edition22
IllustratedYes
Dewey Decimal005.741
Table Of Content1. 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
SynopsisData 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 NumberQA76.9.D343H36 2022
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