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Journal of Intelligent Information Systems

pp 1–30

First Online: 05 July 2017Received: 24 March 2017Revised: 14 June 2017Accepted: 15 June 2017

Abstract

We outline the processes of intelligent creation and utilization of granulated data summaries in the engine aimed at fast approximate execution of analytical SQL statements. We discuss how to use the introduced engine for the purposes of ad-hoc data exploration over large and quickly increasing data collected in a heterogeneous or distributed fashion. We focus on mechanisms that transform input data summaries into result sets representing query outcomes. We also illustrate how our computational principles can be put together with other paradigms of scaling and harnessing data analytics.

KeywordsBig data processing Approximate query processing Data summarization Granular computing Machine intelligence  Download fulltext PDF



Author: Dominik Ślęzak - Rick Glick - Paweł Betliński - Piotr Synak

Source: https://link.springer.com/







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