Big Data - Characterizing an Emerging Research Field using Topic Models

Publikation: Beiträge in SammelwerkenAufsätze in KonferenzbändenForschungbegutachtet

Authors

Big Data is one of the latest emerging topics in the field of business information systems, and is marketed as being the key for companies' future success. Many analytic solutions are offered by IT companies to help other businesses with the flood of data that is generated within and outside of a company. Despite the extensive use of the notion Big Data for marketing purposes, there is no common understanding of how to characterize the elements of the Big Data concept. The authors contribute to the clarification of this concept with a methodologically enriched literature review by deriving characteristic dimensions from existing definitions of Big Data. These dimensions are validated and enriched with a two-step approach by applying topic models on 248 publications relevant to Big Data. The authors propose that the concept of Big Data can be described by the dimensions of data, IT infrastructure, applied methods, and an applications perspective. The assignment of the results to a generic data analysis process reveals that recent publications focus on data analysis and processing, and less attention is given to the initial data selection or the visualization and utilization of the analysis results.
OriginalspracheEnglisch
TitelProceedings - 2014 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT 2014 : Proceedings; 11-14 August 2014 Warsaw, Poland
HerausgeberDominik Ślęzak, Hung Son Nguyen, Marek Reformat, Eugene Santos
Anzahl der Seiten9
Band1
VerlagIEEE - Institute of Electrical and Electronics Engineers Inc.
Erscheinungsdatum16.10.2014
Seiten43-51
ISBN (Print)978-147994143-8
ISBN (elektronisch)9781479941438
DOIs
PublikationsstatusErschienen - 16.10.2014
VeranstaltungInternational Joint Conference on Web Intelligence and Intelligent Agent Technology - WI-IAT 2014 - University of Warsaw, Warschau, Polen
Dauer: 11.08.201414.08.2014
https://ieeexplore.ieee.org/document/6927513

DOI

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