SafetyLit Journal Details

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Big data and cognitive computing

Abbreviation: Big Data Cogn. Comput.

Published by: MDPI: Multidisciplinary Digital Publications Institute

Publisher Location: Basel, Switzerland

Journal Website:
https://www.mdpi.com/journal/BDCC

Range of citations in the SafetyLit database: 2021; 5(4) -- 2023; 7(2)

Publication Date Range: 2017 --

Title began with volume (issue): 1(1)

Number of articles from this journal included in the SafetyLit database: 12
(Download all articles from this journal in CSV format.)

eISSN = 2504-2289
LCCN = 2019227455 | USNLM = 9918383886006676 | OCLC = 1048121999

Find a library that holds this journal: http://worldcat.org/issn/25042289

Journal Language(s): English

Aims and Scope (from publisher): In the past decade, the computer and information industry has experienced rapid changes in both platform scale and scope of applications. Computers, smart phones, clouds, social networks, and supercomputers demand not only high performance but also a high degree of machine intelligence. As a matter of fact, we are entering an era of big data and cognitive computing. In the big data era, successful cloud systems, web services and supercomputer centers must be designed to discover, store, process, learn, analyze, and predict from a massive amount of data. To face these new computing and communication changes, we must upgrade the clouds and the computing ecosystem with new capabilities, such as machine learning, IoT sensing, data analytics, and cognitive machines mimicking human intelligence. This journal blends together big-data theories with emerging technologies on smart clouds and exploring supercomputers with new applications

Articles in database by volume, issue.