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Cited by 565

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Big Data for Modern Industry: Challenges and Trends [Point of View]

Open access
Yin, Shen, Kaynak, Okyay·2015·Proceedings of the IEEE

Abstract

We are living in an era of data deluge and as a result, the term ``big data'' is appearing in many contexts, from meteorology, genomics, complex physics simulations, biological and environmental research, finance and business to healthcare. As the name implies, big data literally means large collections of data sets containing abundant information. However, it has some special characteristics that distinguish it from “very large data”or “massive data”that are simply enormous collections of simple-format records, typically equivalent to enormous spreadsheets. Big data, being generally unstructured and heterogeneous, is extremely complex to deal with via traditional approaches, and requires real-time or almost real-time analysis. A short definition can therefore be that “big data” refers to data sets whose size is beyond the ability of typical database software tools to capture, store, manage, and analyze.

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Metadata

Authors
Yin, S., & Kaynak, O.
Venue
Proceedings of the IEEE
Published
2015-02
Volume
103
Issue
2
Pages
143-146
ISSN
  • 0018-9219 (ISSN-L)
  • 1558-2256
OpenAlex
W1998092191
Cited by
565
References
2
FWCI
107.42
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Big Data for Modern Industry: Challenges and Trends [Point of View]. https://app.cochat.ai/papers/10.1109/jproc.2015.2388958
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Yin, S., & Kaynak, O. (2015). Big Data for Modern Industry: Challenges and Trends [Point of View]. Proceedings of the IEEE. https://doi.org/10.1109/jproc.2015.2388958

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