NDLI: Classification of research efforts in dynamic/big data analytics

Content Provider	IEEE Xplore Digital Library
Author	Turiy, L.
Copyright Year	2015
Description	Author affiliation: Palmer Sch. of Libr. & Inf. Sci., Long Island Univ., Brookville, NY, USA (Turiy, L.)
Abstract	The recent explosion in Dynamic (a.k.a., "Big") Data $Analytics^{1}$ research provides a massive amount of software capabilities, published papers, and conference proceedings that make it difficult to sift through and inter-relate it all. This paper proposes a trial classification scheme with several orthogonal dimensions of classification. These dimensions include stages of application, challenges, solution origins, specialization of technologies, purpose, ownership (business type), data processing (batch vs. streaming), and data types applied to (structured, semi-structured and unstructured). The full list of determined categories in each dimension is presented. The classification scheme is intentionally made to be not too complex, to help anyone entering the expanding world of Big Data Analytics, by helping them gain a better understanding of the applicability of various tools and capabilities that are available, and how they contrast and synergize amongst each another. Additionally, this work can help with creation of educational materials, demarcation of the domain, and encourage full research coverage in big data analytics, as well as enable discovery and articulation of common principles and solutions. The research topics used in testing this classification scheme are retrieved from the top 20 most relevant papers of Scopus online database, which is aiming to be the largest repository of the peer-reviewed literature, as well as by reviewing examples of similar past classification attempts.
Starting Page	1
Ending Page	6
File Size	257199
Page Count	6
File Format	PDF
ISBN	9781467378659
DOI	10.1109/CEWIT.2015.7338171
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-10-19
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Data analysis Big Data Analytics Databases Bibliometrics Data visualization Scopus Classification Big Data Big data Software Bibliometric analysis Business
Content Type	Text
Resource Type	Article

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