Electronic Resource

Intelligent Systems in Big Data, Semantic Web and Machine Learning

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Penilaian

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This book describes important methodologies, tools and techniques from the fields of artificial intelligence, basically those which are based on relevant conceptual and formal development. The coverage is wide, ranging from machine learning to the use of data on the Semantic Web, with many new topics. The contributions are concerned with machine learning, big data, data processing in medicine, similarity processing in ontologies, semantic image analysis, as well as many applications including the use of machine leaning techniques for cloud security, artificial intelligence techniques for detecting COVID-19, the Internet of things, etc. The book is meant to be a very important and useful source of information for researchers and doctoral students in data analysis, Semantic Web, big data, machine learning, computer engineering and related disciplines, as well as for postgraduate students who want to integrate the doctoral cycle.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
1908000593	EB0001146	006.3 Int	Central Library (OPAC)	Available

Detail Information

Series Title

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Call Number

006.3 Int

Publisher

Switzerland : Springer Cham., 2021

Collation

XIV, 315p.:Ill

Language

English

ISBN/ISSN

978-3-030-72588-4

Classification

006.3

Content Type

Ebook

Media Type

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Carrier Type

online resource

Edition

-

Subject(s)

Big Data

Specific Detail Info

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Statement of Responsibility

BRF

Other version/related

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