Making sense out of big data - popular machine learning tools in business analytics

Kuldeep Kumar, Sukanto Bhattacharya

Research output: Chapter in Book/Report/Conference proceedingChapterResearchpeer-review

Abstract

'Big data' is the new buzzword in academic as wen as industry circles. Laney (2001) came up with the three Vs that characterize big data - volume, velocity and variety. When talking about big data one is usually referring to a huge volume, in terabytes rather than gigabytes, that is captured either across cross-section or across time or more likely across both i.e. as a panel. However it is the sheer size of the data set that puts big data in an entirely different category requiring a special set of analytical tools and approaches for extracting information and also data storage for future retrieval and analysis.
Original languageEnglish
Title of host publicationBig Data & Analytics for Business
EditorsVikas Kumar, Saurabh Mittal
Place of PublicationIndia
PublisherSociety for Education & Research Development
Pages81-85
Number of pages5
ISBN (Print)9781634154970
Publication statusPublished - 2014

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    Kumar, K., & Bhattacharya, S. (2014). Making sense out of big data - popular machine learning tools in business analytics. In V. Kumar, & S. Mittal (Eds.), Big Data & Analytics for Business (pp. 81-85). India: Society for Education & Research Development .