Data mining and machine learning: (Record no. 4122)
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000 -LEADER | |
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fixed length control field | 02538nam a22002177a 4500 |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20221201122403.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 221201b ||||| |||| 00| 0 eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
International Standard Book Number | 9781108473989 |
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
Classification number | 006.312 |
Item number | ZAK |
100 ## - MAIN ENTRY--PERSONAL NAME | |
Personal name | Zaki, Mohammed J. |
245 ## - TITLE STATEMENT | |
Title | Data mining and machine learning: |
Remainder of title | fundamental concepts and algorithms |
250 ## - EDITION STATEMENT | |
Edition statement | 2nd |
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
Name of publisher, distributor, etc. | Cambridge University Press |
Place of publication, distribution, etc. | Cambridge |
Date of publication, distribution, etc. | 2020 |
300 ## - PHYSICAL DESCRIPTION | |
Extent | xii, 766 p. |
365 ## - TRADE PRICE | |
Price type code | GBP |
Price amount | 57.99 |
504 ## - BIBLIOGRAPHY, ETC. NOTE | |
Bibliography, etc. note | Table of Contents<br/>1. Data mining and analysis<br/>Part I. Data Analysis Foundations:<br/>2. Numeric attributes<br/>3. Categorical attributes<br/>4. Graph data<br/>5. Kernel methods<br/>6. High-dimensional data<br/>7. Dimensionality reduction<br/>Part II. Frequent Pattern Mining:<br/>8. Itemset mining<br/>9. Summarizing itemsets<br/>10. Sequence mining<br/>11. Graph pattern mining<br/>12. Pattern and rule assessment<br/>Part III. Clustering:<br/>13. Representative-based clustering<br/>14. Hierarchical clustering<br/>15. Density-based clustering<br/>16. Spectral and graph clustering<br/>17. Clustering validation<br/>Part IV. Classification:<br/>18. Probabilistic classification<br/>19. Decision tree classifier<br/>20. Linear discriminant analysis<br/>21. Support vector machines<br/>22. Classification assessment<br/>Part V. Regression:<br/>23. Linear regression<br/>24. Logistic regression<br/>25. Neural networks<br/>26. Deep learning<br/>27. Regression evaluation. |
520 ## - SUMMARY, ETC. | |
Summary, etc. | The fundamental algorithms in data mining and machine learning form the basis of data science, utilizing automated methods to analyze patterns and models for all kinds of data in applications ranging from scientific discovery to business analytics. This textbook for senior undergraduate and graduate courses provides a comprehensive, in-depth overview of data mining, machine learning and statistics, offering solid guidance for students, researchers, and practitioners. The book lays the foundations of data analysis, pattern mining, clustering, classification and regression, with a focus on the algorithms and the underlying algebraic, geometric, and probabilistic concepts. New to this second edition is an entire part devoted to regression methods, including neural networks and deep learning.<br/><br/>Covers both core methods and cutting-edge research, including deep learning<br/>Offers an algorithmic approach with open-source implementations<br/>Short, self-contained chapters with class-tested examples and exercises allow flexibility in course design and ready reference |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name as entry element | Data mining |
700 ## - ADDED ENTRY--PERSONAL NAME | |
Personal name | Meira, Wagner |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Source of classification or shelving scheme | Dewey Decimal Classification |
Koha item type | Book |
Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Collection code | Bill No | Bill Date | Home library | Current library | Shelving location | Date acquired | Source of acquisition | Cost, normal purchase price | Total Checkouts | Full call number | Accession Number | Date last seen | Copy number | Cost, replacement price | Price effective from | Koha item type |
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Dewey Decimal Classification | IT & Decisions Sciences | IN180 | 27-10-2022 | Indian Institute of Management LRC | Indian Institute of Management LRC | General Stacks | 12/01/2022 | Bharatiya Sahitya Bhavana | 3736.59 | 006.312 ZAK | 003855 | 12/01/2022 | 1 | 3736.59 | 12/01/2022 | Book |