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A Survey of current end-user data analytics tool support
conference contribution
posted on 2018-01-01, 00:00 authored by Hourieh KhalajzadehHourieh Khalajzadeh, Mohamed AbdelrazekMohamed Abdelrazek, John Grundy, J Hosking, Q HeThere 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 endusers, identifying key strengths, weaknesses and opportunities for future research.
History
Event
IEEE Big Data. Congress (7th : 2018 : San Francisco, California)Pagination
41 - 48Publisher
IEEELocation
San Francisco, CaliforniaPlace of publication
Piscataway, N.J.Publisher DOI
Start date
2018-07-02End date
2018-07-07ISBN-13
9781538672327Language
engPublication classification
E Conference publication; E1 Full written paper - refereedTitle of proceedings
Big Data Congress 2018 : IEEE World Congress on Services : 7th IEEE International Congress on Big DataUsage metrics
Categories
Keywords
data analyticsdata visualizationmachine learningdomain specific visual languagesbig dataScience & TechnologyTechnologyComputer Science, Information SystemsComputer Science, Theory & MethodsEngineering, Electrical & ElectronicComputer ScienceEngineeringInformation SystemsArtificial Intelligence and Image ProcessingDistributed Computing
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