MARC details
| 000 -LEADER |
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| fixed length control field |
02954 a2200205 4500 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
150922b2015 xxu||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
9783319141411 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
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| Classification number |
006.312 |
| Item number |
A4D2 |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
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| Personal name |
Aggarwal, Charu C. |
| 9 (RLIN) |
97869 |
| 245 ## - TITLE STATEMENT |
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| Title |
Data mining: the textbook |
| Statement of responsibility, etc. |
Aggarwal, Charu C. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. |
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| Name of publisher, distributor, etc. |
Springer International Publishing |
| Date of publication, distribution, etc. |
2015 |
| Place of publication, distribution, etc. |
Switzerland |
| 300 ## - PHYSICAL DESCRIPTION |
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| Extent |
xxix, 734 p. |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
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| Bibliography, etc. note |
Table of contents:<br/><br/>1.Introduction to Data Mining <br/>2.Data Preparation<br/>3.Similarity and Distances<br/>4.Association Pattern Mining<br/>5.Association Pattern Mining: Advanced Concepts <br/>6.Cluster Analysis<br/>7.Cluster Analysis: Advanced Concepts <br/>8.Outlier Analysis<br/>9.Outlier Analysis: Advanced Concepts <br/>10.Data Classification<br/>11.Data Classification: Advanced Concepts<br/>12.Mining Data Streams.- Mining Text Data <br/>13.Mining Time-Series Data<br/>14.Mining Discrete Sequences <br/>15.Mining Spatial Data <br/>16.Mining Graph Data<br/>17.Mining Web Data<br/>18.Social Network Analysis<br/>19.Privacy-Preserving Data Mining<br/><br/> |
| 520 ## - SUMMARY, ETC. |
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| 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. --publisher.<br/><br/>(http://www.springer.com/gp/book/9783319141411) |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name entry element |
Database management |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name entry element |
Data mining |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name entry element |
Data mining and knowledge discovery |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name entry element |
Pattern recognition |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
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| Source of classification or shelving scheme |
Dewey Decimal Classification |
| Koha item type |
Book |
