An Introduction to Weka with Demos

Tomasz Oliwa

Ph.D., Computer Science, The University of Georgia, USA

Dipl.-Inform., University of Koblenz-Landau, Germany..

Lecture in CSCI/ARTI 8950 Machine LearningSlides at: http://www.cs.uga.edu/~tomasz/weka2013fall/

September 5, 2013

Tomasz Oliwa (oliwa@uga.edu) Introduction to Weka and Demos September 5, 2013 1 / 18

Weka Software

The Weka machine learning/data mining suite:

Rich collection of preprocessing, (un)/supervisedlearning and evaluation algorithms

Accessible GUI

Java, Free software (GPL):http://www.cs.waikato.ac.nz/~ml/weka/

Attribute-Relation File Format (ARFF)

@relation weather

@attribute outlook sunny, overcast, rainy

@attribute temperature real

@attribute humidity real

@attribute windy TRUE, FALSE

@attribute play yes, no

sunny,85,85,FALSE,no

sunny,80,90,TRUE,no

overcast,83,86,FALSE,yes

Weka Modes1 Explorer: Direct application and visualizations2 Experimenter: Run & compare algorithms3 Knowledge Flow: Visual composition of workflow4 Simple CLI: Command line interface5 Source code: Weka classes in Java code

Weka GUI Chooser

Preprocessing

Preprocessing - Load Data

Preprocessing - Data Overview

Preprocessing - Visualize All

Classification

Classification Results

Classification Results - DT

Clustering Results

Attribute Selection Results

Demo time:

Preprocessing

Classification

Regression

Clustering

Feature Selection

Experimenter

Source code import

Take Home Message

Weka is a powerful machine learning suite:

Explorer: Intuitive suite with result visualizations

Experimenter: Batch perform statistical tests onresults

Source code: Directly import Weka classes in yourprograms

Questions

Thanks for your attention!

Do you have any questions?

References and Tutorials

Weka: http://www.cs.waikato.ac.nz/~ml/weka/

Weka Wiki: http://weka.wikispaces.com/

IBM Weka Tutorials:

Introduction and Regression:http://www.ibm.com/developerworks/opensource/

library/os-weka1/index.html

Classification and clustering:http://www.ibm.com/developerworks/opensource/

Nearest Neighbor and server-side library:http://www.ibm.com/developerworks/opensource/

An Introduction to Weka with Demos - University of...

Documents

Weka Project

Shraddha weka

Weka Tutorial

Weka: Brief IntroductionWeka: Brief Introductionlegacydirs.umiacs.umd.edu/.../Weka-tutorial-short_4... · Weka: Brief IntroductionWeka: Brief Introduction Features Covered in this

Tutorial weka

INSTALLATION MANUAL FOR WEKA GUARD · PDF fileweka_manual_protector24-05-2016 installation manual for weka guard weka protector™ weka boxcoolers b.v. industrieweg 8 nl-2921 lb krimpen

Weka Introducing

AN INTRODUCTION TO WEKA - University of Georgiacobweb.cs.uga.edu/~khaled/MLcourse/WekaIntroduction_JLKG.pdf · 2017-02-02 · • weka’s native data representation/ﬁle format

Weka presentation

Czym jest WEKA? w WEKA Wprowadzenie do WEKAquantup.pl/wp-content/uploads/2012/09/wprowadzenie_do_WEKA.pdf · Wprowadzenie do WEKA Adam Zagdański, Artur Suchwałko () Czym jest WEKA?

WEKA: A Machine Machine Learning with WEKA · 5/6/2018 University of Waikato 4 WEKA: versions There are several versions of WEKA: WEKA 3.0: “book version” compatible with description

Dimov Weka

WEKA: the birddml.cs.byu.edu/~cgc/docs/mldm_tools/Reading/Intro to Weka.pdf · WEKA: versions There are several versions of WEKA: WEKA 3.0: “book version” compatible with description

WEKA in the Ecosystem for Scientific Computing. Contents Part 1: Introduction to WEKA Part 2: WEKA & Octave Part 3: WEKA & R Part 4: WEKA & Python Part

Weka Sample

for WEKA Version 3.4 - The Institutecsed.sggs.ac.in/csed/sites/default/files/WEKA Explorer Tutorial.pdf · Machine Learning with WEKA WEKA Explorer Tutorial for WEKA Version 3.4.3

Weka DataminingZZ

WEKA DATA MINING SYSTEM Weka Experiment Environment

Trabalho Weka

Appendix Weka