Sci-GaIA champions: Stephan N. MGAYA

Mr. Stephan N. MGAYA

TERNET, Tanzania

[email protected]

Short Profile
I am a result oriented IT passioned guy eager to learn new things everyday and get experience in project development, in software development and in networking. I am motivated to make things up and running within time, and I have interests in the information technology field. Failure is not my option although I am not 100% right. I like to work in a team of people motivatd to make things happen.

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Use Case Description

Integration of WEKA in a Science Gateway
Integration of the Waikato Environment for Knowledge Analysis (WEKA) collection of machine learning algorithms for data mining tasks in a Science Gateway. WEKA will be trained with the Wisconsin Breast Cancer datasets from the UCI Machine Learning Repository to help doctors in Tanzania to distinguish breast cancer from benign samples.

e-Infrastructure Services Exploited

The main outcome of the use case is a JSR 168/286 standard-based “portlet”, which will be integrated in the Africa Grid Science Gateway.

For running WEKA, the Africa Grid Science Gateway is connected to a FutureGateway API Server - developed in the context of the INDIGO-DataCloud project - which seamlessly executes jobs on local, Grid and Cloud resources belonging to the Africa & Arabia Regional Operation Centre.

References

Presentation 1 - Presentation 2 - Poster - “Champion” video

Current Implementation of the Use Case

Breast cancer analysis with WEKA, Code repository

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