Data Science and Big Data: An Environment of Computational Intelligence

Name: Data Science and Big Data: An Environment of Computational Intelligence
Brand: Springer International Publishing AG
SKU: 9783319851624
Price: 67183 HUF
Availability: InStock

Szerző: Shyi-Ming Chen, Witold Pedrycz

Nyelv:

Kötés: Puha kötésű

Kiadó: Springer International Publishing AG

Elérhetőség: Beszállítói készleten

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This book presents a comprehensive and up-to-date treatise of a range of methodological and algorith...

Információk a könyvről

Szerző

Shyi-Ming Chen, Witold Pedrycz

Nyelv

Angol

Kötés

Könyv - Puha kötésű

Kiadva

2018

oldal

303

EAN

9783319851624

Enbook ID

20093952

Kiadó

Springer International Publishing AG

Súly

4745

Méretek

155 x 235 x 17

Teljes leírás

This book presents a comprehensive and up-to-date treatise of a range of methodological and algorithmic issues. It also discusses implementations and case studies, identifies the best design practices, and assesses data analytics business models and practices in industry, health care, administration and business. Data science and big data go hand in hand and constitute a rapidly growing area of research and have attracted the attention of industry and business alike. The area itself has opened up promising new directions of fundamental and applied research and has led to interesting applications, especially those addressing the immediate need to deal with large repositories of data and building tangible, user-centric models of relationships in data. Data is the lifeblood of today's knowledge-driven economy. Numerous data science models are oriented towards end users and along with the regular requirements for accuracy (which are present in any modeling), come the requirements for ability to process huge and varying data sets as well as robustness, interpretability, and simplicity (transparency). Computational intelligence with its underlying methodologies and tools helps address data analytics needs. The book is of interest to those researchers and practitioners involved in data science, Internet engineering, computational intelligence, management, operations research, and knowledge-based systems.

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Data Science and Big Data: An Environment of Computational Intelligence

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