354,36 €
416,89 €
-15% su kodu: ENG15
Introduction to Data Mining
354,36 € 
- Išsiųsime per 10–14 d.d.
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.…
354.36
2025-08-04 23:59:00
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- Autorius: Pang-Ning Tan
- Leidėjas: Pearson
- ISBN-10: 0133128903
- ISBN-13: 9780133128901
- Formatas: 19.6 x 23.6 x 4.8 cm, kieti viršeliai
- Kalba: Anglų
- Extra -15 % nuolaida šiai knygai su kodu: ENG15
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Aprašymas
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.EXTRA 15 % nuolaida su kodu: ENG15
354,36 €
416,89 €
Išsiųsime per 10–14 d.d.
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- Autorius: Pang-Ning Tan
- Leidėjas: Pearson
- ISBN-10: 0133128903
- ISBN-13: 9780133128901
- Formatas: 19.6 x 23.6 x 4.8 cm, kieti viršeliai
- Kalba: Anglų
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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