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Introduction to Data Mining Vital Source e-bog
Pang-Ning Tan, Michael Steinbach og Vipin Kumar
(2018)
Pearson International
599,00 kr.
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Introduction to Data Mining
Pang-Ning Tan, Michael Steinbach og Vipin Kumar
(2018)
Sprog: Engelsk
Pearson Education
1.443,00 kr.
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om ca. 10 hverdage
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Detaljer om varen
- 2. Udgave
- Vital Source 180 day rentals (dynamic pages)
- Udgiver: Pearson International (Marts 2018)
- Forfattere: Pang-Ning Tan, Michael Steinbach og Vipin Kumar
- ISBN: 9780134080284R180
This is the eBook of the printed book and may not include any media, website access codes, or print supplements that may come packaged with the bound book. Introducing the fundamental concepts and algorithms of data mining Introduction to Data Mining, 2nd Edition, gives a comprehensive overview of the background and general themes of data mining and is designed to be useful to students, instructors, researchers, and professionals. Presented in a clear and accessible way, the book outlines fundamental concepts and algorithms for each topic, thus providing the reader with the necessary background for the application of data mining to real problems. The text helps readers understand the nuances of the subject, and includes important sections on classification, association analysis, and cluster analysis. This edition improves on the first iteration of the book, published over a decade ago, by addressing the significant changes in the industry as a result of advanced technology and data growth.
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Bookshelf online: 180 dage fra købsdato.
Bookshelf appen: 180 dage fra købsdato.
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Bookshelf online: 180 dage fra købsdato.
Bookshelf appen: 180 dage fra købsdato.
Udgiveren oplyser at følgende begrænsninger er gældende for dette produkt:
Print: -1 sider kan printes ad gangen
Copy: højest -1 sider i alt kan kopieres (copy/paste)
Detaljer om varen
- 2. Udgave
- Hardback: 864 sider
- Udgiver: Pearson Education (Januar 2018)
- Forfattere: Pang-Ning Tan, Michael Steinbach og Vipin Kumar
- ISBN: 9780133128901
Introducing the fundamental concepts and algorithms of data mining Introduction to Data Mining, 2nd Edition , gives a comprehensive overview of the background and general themes of data mining and is designed to be useful to students, instructors, researchers, and professionals. Presented in a clear and accessible way, the book outlines fundamental concepts and algorithms for each topic, thus providing the reader with the necessary background for the application of data mining to real problems. The text helps readers understand the nuances of the subject, and includes important sections on classification, association analysis, and cluster analysis. This edition improves on the first iteration of the book, published over a decade ago, by addressing the significant changes in the industry as a result of advanced technology and data growth.
Brief Contents Introduction Data Classification: Basic Concepts and Techniques Classification: Alternative Techniques Association Analysis: Basic Concepts and Algorithms Association Analysis: Advanced Concepts Cluster Analysis: Basic Concepts and Algorithms Cluster Analysis: Additional Issues and Algorithms Anomaly Detection Avoiding False Discoveries
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