Introduction to data mining

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 chap...

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Detalles Bibliográficos
Autor principal: Tan, Pang-Ning (-)
Otros Autores: Steinbach, Michael, Karpatne, Anuj, Kumar, Vipin, 1956-
Formato: Libro electrónico
Idioma:Inglés
Publicado: New York, N.Y. : Pearson 2019.
New York, NY : [2019]
Edición:2nd ed. Global ed
Materias:
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009767117406719
Descripción
Sumario: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.
Notas:Authorized adaptation from the United States edition.
Descripción Física:1 online resource (859 p.) : ill
ISBN:9780273775324