Name: Big Data Analytics for Sustainable Computing (Advances in Data Mining and Database Management) (en Inglés)
Price: 299.03 USD
Availability: InStock
Author: Anandakumar Haldorai
ISBN: 9781522597506

portada Big Data Analytics for Sustainable Computing (Advances in Data Mining and Database Management) (en Inglés)

Big Data Analytics for Sustainable Computing (Advances in Data Mining and Database Management) (en Inglés)

Formato

Libro Físico

Editorial

Engineering Science Reference

Autor

Anandakumar Haldorai

Año

2019

Idioma

Inglés

N° páginas

263

Encuadernación

Tapa Dura

ISBN13

9781522597506

N° edición

Categorías

Economía del desarrollo y economías emergentes
Sostenibilidad

Big Data Analytics for Sustainable Computing (Advances in Data Mining and Database Management) (en Inglés)

Anandakumar Haldorai (Autor) · Engineering Science Reference · Tapa Dura

Libro Nuevo Importado

Envío: 15 a 22 días háb.

$ 498.39$ 299.03

-40%

Costos de importación incluídos en el precio ✅

Libro Nuevo

Quedan 76 unidades

$ 299.03

Llega entre el 02 Sep y el 15 Sep a Quito, Pichincha. Seleccionar ubicación

Agregar a lista de deseos

Reseña del libro "Big Data Analytics for Sustainable Computing (Advances in Data Mining and Database Management) (en Inglés)"

Big data consists of data sets that are too large and complex for traditional data processing and data management applications. Therefore, to obtain the valuable information within the data, one must use a variety of innovative analytical methods, such as web analytics, machine learning, and network analytics. As the study of big data becomes more popular, there is an urgent demand for studies on high-level computational intelligence and computing services for analyzing this significant area of information science. Big Data Analytics for Sustainable Computing is a collection of innovative research that focuses on new computing and system development issues in emerging sustainable applications. Featuring coverage on a wide range of topics such as data filtering, knowledge engineering, and cognitive analytics, this publication is ideally designed for data scientists, IT specialists, computer science practitioners, computer engineers, academicians, professionals, and students seeking current research on emerging analytical techniques and data processing software.