Towards a Data Analysis Recommendation System

System data is abundant, yet data-driven decision making is currently more of an art than a science. Many organizations rely on data analysis for problem detection and diagnosis, but the process continues to be custom and ad hoc. In this paper, the authors examine the analytics process undertaken by users to mine large data sets, and try to characterize these searches by the operations performed. Furthermore, they take a first stab at a methodical process to automatically suggest operations based on statistical analysis of previous searches performed.

Provided by: University of Calgary Topic: Big Data Date Added: Sep 2012 Format: PDF

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