Introduction to Data Mining, Global Edition

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.

Riassunto

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.

Dettagli sul prodotto

• Autori: Pang-Ning Tan, Michael Steinbach, Vipin Kumar, Anuj Karpatne, Ta, Steinbac, Kumar, Tan, Steinbach
• Editore: Pearson
• Contenuto: Vario
• Forma del prodotto: Prodotto multimediale
• Data pubblicazione: 30.06.2019
• Categoria: Libri scolastici > Libri per scuole e istituti professionali; Scienze naturali, medicina, informatica, tecnica > Informatica, EDP > Informatica
• EAN: 9780273769224
• ISBN: 978-0-273-76922-4
• Numero di pagine: 864
• Dimensioni (della confezione): 18.8 x 23.2 x 2.8 cm
• Peso (della confezione): 1’327 g
• Serie: Pearson; Pearson