Data mining (Record no. 50294)

MARC details
000 -LEADER
fixed length control field 04075nam a22002297a 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20190422145158.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 180924b xxu||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783319141411
028 ## - DISTRIBUTOR NAME
Distributor Name :Brijwasi Book Distributors
Distributor address :H-87, Lalita Park laxmi Nagar Delhi 110092
Bill Number :BW/004976
Bill Date :20/12/18
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.312 AGG
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Charu C Aggarwal
245 ## - TITLE STATEMENT
Title Data mining
Remainder of title : the textbook
Statement of responsibility, etc /Charu C Aggarwal
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc Cham
Name of publisher, distributor, etc : Springer
Date of publication, distribution, etc ,2015
300 ## - PHYSICAL DESCRIPTION
Extent xxix, 734 pages
Dimensions ;27 Cm.
365 ## - TRADE PRICE
Price amount 5879
505 ## - FORMATTED CONTENTS NOTE
Contents note Introduction to Data Mining --<br/>Data Preparation --<br/>Similarity and Distances --<br/>Association Pattern Mining --<br/>Association Pattern Mining: Advanced Concepts --<br/>Cluster Analysis --<br/>Cluster Analysis: Advanced Concepts --<br/>Outlier Analysis --<br/>Outlier Analysis: Advanced Concepts --<br/>Data Classification --<br/>Data Classification: Advanced Concepts --<br/>Mining Data Streams --<br/>Mining Text Data --<br/>Mining Time-Series Data --<br/>Mining Discrete Sequences --<br/>Mining Spatial Data --<br/>Mining Graph Data --<br/>Mining Web Data --<br/>Social Network Analysis --<br/>Privacy-Preserving Data Mining.
520 ## - SUMMARY, ETC.
Summary, etc This textbook explores the different aspects of data mining from the fundamentals to the complex data types and their applications, capturing the wide diversity of problem domains for data mining issues. It goes beyond the traditional focus on data mining problems to introduce advanced data types such as text, time series, discrete sequences, spatial data, graph data, and social networks. Until now, no single book has addressed all these topics in a comprehensive and integrated way. The chapters of this book fall into one of three categories: Fundamental chapters: Data mining has four main problems, which correspond to clustering, classification, association pattern mining, and outlier analysis. These chapters comprehensively discuss a wide variety of methods for these problems. Domain chapters: These chapters discuss the specific methods used for different domains of data such as text data, time-series data, sequence data, graph data, and spatial data. Application chapters: These chapters study important applications such as stream mining, Web mining, ranking, recommendations, social networks, and privacy preservation. The domain chapters also have an applied flavor. Appropriate for both introductory and advanced data mining courses, Data Mining: The Textbook balances mathematical details and intuition. It contains the necessary mathematical details for professors and researchers, but it is presented in a simple and intuitive style to improve accessibility for students and industrial practitioners (including those with a limited mathematical background). Numerous illustrations, examples, and exercises are included, with an emphasis on semantically interpretable examples. Praise for Data Mining: The Textbook - ℓ́ℓAs I read through this book, I have already decided to use it in my classes. ℗ℓThis is a book written by an outstanding researcher who has made fundamental contributions to data mining, in a way that is both accessible and up to date. ℗ℓThe book is complete with theory and practical use cases. ℗ℓItℓ́ℓs a must-have for students and professors alike!"--Qiang Yang, Chair of Computer Science and Engineering at Hong Kong University of Science and Technology "This is the most amazing and comprehensive text book on data mining. It covers not only the fundamental problems, such as clustering, classification, outliers and frequent patterns, and different data types, including text, time series, sequences, spatial data and graphs, but also various applications, such as recommenders, Web, social network and privacy.℗ℓ It is a great book for graduate students and researchers as well as practitioners."--Philip S. Yu, UIC Distinguished Professor and Wexler Chair in Information Technology at University of Illinois at Chicago
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer Sciences
655 ## - INDEX TERM--GENRE/FORM
Genre/form data or focus term Data mining.
Non-focus term Data Mining and Knowledge Discovery.
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Charu C Aggarwal
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Books
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Date acquired Source of acquisition Cost, normal purchase price Total Checkouts Total Renewals Full call number Barcode Date last seen Date checked out Price effective from Koha item type
    Dewey Decimal Classification     SNU LIBRARY SNU LIBRARY 24/09/2018 Brijwasi Book Distributors 5879.00 7 4 006.312 AGG 25703 14/12/2023 25/11/2023 24/09/2018 Books
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