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ACIIDS
2016
IEEE

Redhyte: Towards a Self-diagnosing, Self-correcting, and Helpful Analytic Platform

3 years 7 months ago
Redhyte: Towards a Self-diagnosing, Self-correcting, and Helpful Analytic Platform
Abstract. We present a platform named Redhyte, short for an interactive platform for “Rapid exploration of data and hypothesis testing”. Redhyte aims to augment the conventional statistical hypothesis testing framework with data-mining techniques in a bid for more wholesome and efficient hypothesis testing. The platform is self-diagnosing (it can detect whether the user is doing a valid statistical test), self-correcting (it can propose and make corrections to the user’s statistical test), and helpful (it can search for promising or interesting hypotheses related to the initial user-specified hypothesis). In Redhyte, hypothesis mining consists of several steps: context mining, mined-hypothesis formulation, mined-hypothesis scoring on interestingness, and statistical adjustments. To capture and evaluate specific aspects of interestingness, we developed and implemented various hypothesis-mining metrics. Redhyte is an R shiny web application and can be found online at https://tohw...
Wei Zhong Toh, Kwok Pui Choi, Limsoon Wong
Added 28 Mar 2016
Updated 28 Mar 2016
Type Journal
Year 2016
Where ACIIDS
Authors Wei Zhong Toh, Kwok Pui Choi, Limsoon Wong
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