A survey of current end-user data analytics tool support

Hourieh Khalajzadeh, Mohamed Abdelrazek, John Grundy, John Hosking, Qiang He

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearch

Abstract

There is a large growth in interest in big data analytics to discover unknown patterns and insights. A major challenge in this domain is the need to combine domain knowledge – what the data means (semantics) and what it is used for – with data analytics and visualization techniques to mine and communicate important information from huge volumes of raw data. Many data analytics tools have been developed for both research and practice to assist in specifying, integrating and deploying data analytics and visualization applications. However, delivering such big data analytics application requires a capable team with different skillsets including data scientists, software engineers and domain experts. Such teams and skillset usually take a long time to build and have high running costs. An alternative is to provide domain experts and data scientists with tools they can use to do the exploration and analysis directly with less technical skills required. We present an overview and analysis of several current approaches to supporting the data analytics for end-users, identifying key strengths, weaknesses and opportunities for future research.
Original languageEnglish
Title of host publicationProceedings - 2018 IEEE International Congress on Big Data
Subtitle of host publicationIEEE BigData Congress 2018
EditorsShadi Ibrahim, Isaac Triguero, Bingsheng He
Place of PublicationPiscataway NJ USA
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages41-48
Number of pages8
ISBN (Electronic)9781538672334
ISBN (Print)9781538672327
DOIs
Publication statusPublished - 10 Sep 2018
EventIEEE International Congress on Big Data 2018 - San Francisco, United States of America
Duration: 2 Jul 20189 Jul 2018
http://conferences.computer.org/bigdatacongress/2018/

Conference

ConferenceIEEE International Congress on Big Data 2018
Abbreviated titleBigData Congress 2018
CountryUnited States of America
CitySan Francisco
Period2/07/189/07/18
Internet address

Cite this

Khalajzadeh, H., Abdelrazek, M., Grundy, J., Hosking, J., & He, Q. (2018). A survey of current end-user data analytics tool support. In S. Ibrahim, I. Triguero, & B. He (Eds.), Proceedings - 2018 IEEE International Congress on Big Data: IEEE BigData Congress 2018 (pp. 41-48). [8457729] Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/BigDataCongress.2018.00013
Khalajzadeh, Hourieh ; Abdelrazek, Mohamed ; Grundy, John ; Hosking, John ; He, Qiang. / A survey of current end-user data analytics tool support. Proceedings - 2018 IEEE International Congress on Big Data: IEEE BigData Congress 2018. editor / Shadi Ibrahim ; Isaac Triguero ; Bingsheng He. Piscataway NJ USA : IEEE, Institute of Electrical and Electronics Engineers, 2018. pp. 41-48
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Khalajzadeh, H, Abdelrazek, M, Grundy, J, Hosking, J & He, Q 2018, A survey of current end-user data analytics tool support. in S Ibrahim, I Triguero & B He (eds), Proceedings - 2018 IEEE International Congress on Big Data: IEEE BigData Congress 2018., 8457729, IEEE, Institute of Electrical and Electronics Engineers, Piscataway NJ USA, pp. 41-48, IEEE International Congress on Big Data 2018, San Francisco, United States of America, 2/07/18. https://doi.org/10.1109/BigDataCongress.2018.00013

A survey of current end-user data analytics tool support. / Khalajzadeh, Hourieh; Abdelrazek, Mohamed; Grundy, John; Hosking, John; He, Qiang.

Proceedings - 2018 IEEE International Congress on Big Data: IEEE BigData Congress 2018. ed. / Shadi Ibrahim; Isaac Triguero; Bingsheng He. Piscataway NJ USA : IEEE, Institute of Electrical and Electronics Engineers, 2018. p. 41-48 8457729.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearch

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Khalajzadeh H, Abdelrazek M, Grundy J, Hosking J, He Q. A survey of current end-user data analytics tool support. In Ibrahim S, Triguero I, He B, editors, Proceedings - 2018 IEEE International Congress on Big Data: IEEE BigData Congress 2018. Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers. 2018. p. 41-48. 8457729 https://doi.org/10.1109/BigDataCongress.2018.00013