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Big Data

Editor-in-Chief: Zoran Obradovic, PhD

ISSN: 2167-6461 | Online ISSN: 2167-647X | Published Bimonthly | Current Volume: 10

Impact Factor: 4.426* *2021 Journal Citation Reports™ (Clarivate, 2022)

CiteScore™: 4.2

The leading peer-reviewed journal covering the challenges and opportunities in collecting, analyzing, and disseminating vast amounts of data.

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Announcements

Award Winner

Mary Ann Liebert, Inc., in partnership with the Rosalind Franklin Society has launched a prestigious annual award to recognize outstanding published peer-reviewed research by women and underrepresented minorities in science in each of the publisher’s peer-reviewed journals. The RFS / MAL Award in Science for Big Data has selected Maddalena Cavicchioli, PhD who co-authored Learning from Failure: Big Data Analysis for Detecting the Patterns of Failure in Innovative Startups.

View RFS Awards in Science Book
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Special Issue: Big Multimodal Data Analysis: Models and Performance Analysis

In this special issue, we aimed to provide a Models and Performance Improvements forum for researchers with an interest in efficiency to examine challenging research questions, showcase the state of the art, and share breakthroughs. Read the full Special Issue
CALLS FOR PAPERS
- Big Data Analytics in Industrial Intelligence

Featured Content

The views, opinions, findings, conclusions and recommendations set forth in any Journal article are solely those of the authors of those articles and do not necessarily reflect the views, policy or position of the Journal, its Publisher, its editorial staff or any affiliated Societies and should not be attributed to any of them.