LESSONSSCIGAIA-2016-032

WACREN e-Research Hackfest: Breast cancer computer aided opinion with WEKA

Mario Torrisi

22 November 2016

Abstract: In this lecture we present the portlet that has been developed to integrate the Waikato Environment for Knowledge Analysis (WEKA) collection of machine learning algorithms for data mining tasks in the Africa Grid Science Gateway. We show the functionalities of the application and we show and discuss the code used to interact with the various e-Infrastructure services (FutureGateway, Open Access Repository, etc.).

Keyword(s): Sci-GaIA ; WEKA ; Breast cancer ; Africa Grid Science Gateway ; FutureGateway ; WACREN e-Research Hackfest
Identifier(s): 10.15169/sci-gaia:1480604168.6


Licence: cc-by-nc-sa

The record appears in these collections:
Lessons > Lessons Sci-GaIA



 Record created 2016-12-01, last modified 2016-12-01


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