1. Stephan Nathanael Mgaya
WEKA - Machine Learning
On Science Gateway
Stephan Nathanael Mgaya
TERNET

2. Sci-GaIA Workshop , Dar es Salaam (Tanzania), February , 3, 2017
WEKA - Machine Learning
On Science Gateway - Intro
Introduction
WEKA is a free software with a collection of tools and algorithms for 
Data Analysis and
Predictive modelling
WEKA supports several standard mining tasks,
Data pre-processing and feature selection
Clustering, Classification and Regression
Visualization.
WEKA is very useful tool to experiment, test and compare performance of various data mining algorithms.
Aim
Porting WEKA to run on the Science Gateway
Develop web interface to access and use WEKA features
Test WEKA web interface using Breast Cancer Use Case.
Benefits
Access to high computing power
No need to install WEKA on user computer
User friendly web interface and visualization
VNC Session
Limitations
WEKA is widely used as a desktop application.
Its performance is limited by the host computer resources.
Sci-GaIA Workshop , Dar es Salaam (Tanzania), February , 3, 2017
@ei4africa l #SciGaIA
e-Infrastructures for Africa Community
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement n°654237

3. Sci-GaIA Workshop , Dar es Salaam (Tanzania), February , 3, 2017
WEKA – What have been done
What have been done
Learn future gateway architecture during hackfest italy
Develop portlet user support in github.
Test WEKA web interface using Breast Cancer Use Case.
Add the portlet to the African Science Gateway.
Add more algorithims on the portlet
Run some tests.
VNC Session
Classifiers Added
Support Vector Machines (also called SVM): functions.SMO
k-Nearest Neighbors (also called KNN: lazy.IBk
Decision Tree (specifically the C4.5 variety): trees.J48
bayes Naive Bayes.
Sci-GaIA Workshop , Dar es Salaam (Tanzania), February , 3, 2017
@ei4africa l #SciGaIA
e-Infrastructures for Africa Community
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement n°654237

4. Sci-GaIA Workshop , Dar es Salaam (Tanzania), February , 3, 2017
WEKA - Architecture
Architecture of Future Gateway
.A framework to build science gateways
Portlet
Contain GUI for SG applications.
Grid&Cloud Engine (GridEngine)
System to manage jobs running on Grid and Cloud infrastructures.
SAGA/JSAGASAGA OGF standard to manage jobs on distributed infrastructures
JSAGA a Java implementation of SAGA.
REST APIs Communication protocol over HTTP to manage network applications.
APIServer The engine implementing
RESTAPIs.
VNC Session
Sci-GaIA Workshop , Dar es Salaam (Tanzania), February , 3, 2017
@ei4africa l #SciGaIA
e-Infrastructures for Africa Community
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement n°654237

5. Sci-GaIA Workshop , Dar es Salaam (Tanzania), February , 3, 2017
WEKA - Advantages
Advantages
Widely access
Same result
Same edu id
High performance
Re usability
User friendly
VNC Session
Sci-GaIA Workshop , Dar es Salaam (Tanzania), February , 3, 2017
@ei4africa l #SciGaIA
e-Infrastructures for Africa Community
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement n°654237

6. Sci-GaIA Workshop , Dar es Salaam (Tanzania), February , 3, 2017
WEKA - End
Thank you
VNC Session
Sci-GaIA Workshop , Dar es Salaam (Tanzania), February , 3, 2017
@ei4africa l #SciGaIA
e-Infrastructures for Africa Community
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement n°654237