Big data analytics involves massive amounts of data in various formats, including structured, semi-structured and unstructured data. The complexity of this data requires more sophisticated analysis techniques. Big data analytics employs advanced techniques likemachine learninganddata miningto extract informat...
The age of big data is now coming. But the traditional data analytics may not be able to handle such large quantities of data. The question that arises now is, how to develop a high performance platform to efficiently analyze big data and how to design a
Big Data Analytics (BDA 2012) Vijay Srinivas Agneeswaran Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7678)) Included in the following conference series: International Conference on Big Data Analytics 5631 Accesses ...
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•BigDataanalyticsistheprocessofinspecting, cleaning,transforming,andmodelingbigdatato discoverandcommunicateusefulinformationand patterns,suggestingconclusions,andsupporting decisionmaking •BigDataanalyticshasbeenappliedinmanyareas •Marketing •PoliticalCampaigning ...
The age of big data is now coming. But the traditional data analytics may not be able to handle such large quantities of data. The question that arises now is, how to develop a high performance platform to efficiently analyze big data and how to design a
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The value of investing in BDACs is clearly reflected in a recent article by Liu [48], who notes that big data analytics constitutes a major differentiator between high-performing and low-performing firms, as it enables firms to be more proactive and swift in identifying new business opportunitie...
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Spangenberg, N., Roth, M., Franczyk, B. (2015). Evaluating New Approaches of Big Data Analytics Frameworks. In: Abramowicz, W. (eds) Business Information Systems. BIS 2015. Lecture Notes in Business Information Processing, vol 208. Springer, Cham. https://doi.org/10.1007/978-3-319-19027...