Introduction to Data Mining. Este artículo no está disponible.
Pang-Ning Tan; Michael Steinbach; Vipin Kumar
372 valoraciones de Goodreads
Idioma: inglés
Editorial: Pearson, 2005
- Tapa dura
- Usado

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May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.
N° de ref. del artículo G0321321367I4N00
- Título
- Introduction to Data Mining
- Autor
- Pang-Ning Tan; Michael Steinbach; Vipin Kumar
- Editorial
- Pearson
- Año de publicación
- 2005
- Estado
- Very Good
- Sobrecubierta
- No Jacket
- Encuadernación
- Hardcover
- Idioma
- inglés
- ISBN 10
- 0321321367
- ISBN 13
- 9780321321367
- Peso del artículo
- 2,94 libras
Introduction to Data Mining presents fundamental concepts and algorithms for those learning data mining for the first time. Each major topic is organized into two chapters, beginning with basic concepts that provide necessary background for understanding each data mining technique, followed by more advanced concepts and algorithms.
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Reseña del editor
Introduction to Data Mining presents fundamental concepts and algorithms for those learning data mining for the first time. Each concept is explored thoroughly and supported with numerous examples. The text requires only a modest background in mathematics. Each major topic is organized into two chapters, beginning with basic concepts that provide necessary background for understanding each data mining technique, followed by more advanced concepts and algorithms. Quotes This book provides a comprehensive coverage of important data mining techniques. Numerous examples are provided to lucidly illustrate the key concepts. -Sanjay Ranka, University of Florida In my opinion this is currently the best data mining text book on the market. I like the comprehensive coverage which spans all major data mining techniques including classification, clustering, and pattern mining (association rules). -Mohammed Zaki, Rensselaer Polytechnic Institute
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