SlideShare uma empresa Scribd logo
1 de 89
Contributed by Yizhou Sun 2008 An Introduction to WEKA
Content ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],04/26/10
What is WEKA? ,[object Object],[object Object],[object Object],04/26/10
Download and Install WEKA ,[object Object],[object Object],[object Object],04/26/10
Main Features ,[object Object],[object Object],[object Object],[object Object],[object Object],04/26/10
Main GUI ,[object Object],[object Object],[object Object],[object Object],04/26/10
Content ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],04/26/10
Explorer: pre-processing the data ,[object Object],[object Object],[object Object],[object Object],[object Object],04/26/10
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],WEKA only deals with “flat” files 04/26/10 Flat file in ARFF format
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],WEKA only deals with “flat” files 04/26/10 numeric attribute nominal attribute
04/26/10 University of Waikato
04/26/10 University of Waikato
04/26/10 University of Waikato
04/26/10 University of Waikato
04/26/10 University of Waikato
04/26/10 University of Waikato
04/26/10 University of Waikato
04/26/10 University of Waikato
04/26/10 University of Waikato
04/26/10 University of Waikato
04/26/10 University of Waikato
04/26/10 University of Waikato
04/26/10 University of Waikato
04/26/10 University of Waikato
04/26/10 University of Waikato
04/26/10 University of Waikato
04/26/10 University of Waikato
04/26/10 University of Waikato
04/26/10 University of Waikato
04/26/10 University of Waikato
04/26/10 University of Waikato
Explorer: building “classifiers” ,[object Object],[object Object],[object Object],04/26/10
April 26, 2010 This follows an  example of Quinlan’s ID3 (Playing Tennis) Decision Tree Induction: Training Dataset
April 26, 2010 Output: A Decision Tree for “buys_computer” age? overcast student? credit rating? <=30 >40 no yes yes yes 31..40 no fair excellent yes no
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],April 26, 2010 Algorithm for Decision Tree Induction
04/26/10 University of Waikato
04/26/10 University of Waikato
04/26/10 University of Waikato
04/26/10 University of Waikato
04/26/10 University of Waikato
04/26/10 University of Waikato
04/26/10 University of Waikato
04/26/10 University of Waikato
04/26/10 University of Waikato
04/26/10 University of Waikato
04/26/10 University of Waikato
04/26/10 University of Waikato
04/26/10 University of Waikato
04/26/10 University of Waikato
04/26/10 University of Waikato
04/26/10 University of Waikato
04/26/10 University of Waikato
04/26/10 University of Waikato
04/26/10 University of Waikato
04/26/10 University of Waikato
04/26/10 University of Waikato
04/26/10 University of Waikato
Explorer: clustering data ,[object Object],[object Object],[object Object],[object Object],[object Object],04/26/10
[object Object],[object Object],[object Object],[object Object],[object Object],April 26, 2010 The K-Means Clustering Method
[object Object]
Explorer: finding associations ,[object Object],[object Object],[object Object],[object Object],[object Object],04/26/10
Basic Concepts: Frequent Patterns ,[object Object],[object Object],[object Object],[object Object],[object Object],April 26, 2010 Customer buys diaper Customer buys both Customer buys beer Tid Items bought 10 Beer, Nuts, Diaper 20 Beer, Coffee, Diaper 30 Beer, Diaper, Eggs 40 Nuts, Eggs, Milk 50 Nuts, Coffee, Diaper, Eggs, Milk
Basic Concepts: Association Rules ,[object Object],[object Object],[object Object],[object Object],[object Object],April 26, 2010 Customer buys diaper Customer buys both Customer buys beer Nuts, Eggs, Milk 40 Nuts, Coffee, Diaper, Eggs, Milk 50 Beer, Diaper, Eggs 30 Beer, Coffee, Diaper 20 Beer, Nuts, Diaper 10 Items bought Tid ,[object Object],[object Object],[object Object]
04/26/10 University of Waikato
04/26/10 University of Waikato
04/26/10 University of Waikato
04/26/10 University of Waikato
04/26/10 University of Waikato
Explorer: attribute selection ,[object Object],[object Object],[object Object],[object Object],[object Object],04/26/10
04/26/10 University of Waikato
04/26/10 University of Waikato
04/26/10 University of Waikato
04/26/10 University of Waikato
04/26/10 University of Waikato
04/26/10 University of Waikato
04/26/10 University of Waikato
04/26/10 University of Waikato
Explorer: data visualization ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],04/26/10
04/26/10 University of Waikato
04/26/10 University of Waikato
04/26/10 University of Waikato
04/26/10 University of Waikato
04/26/10 University of Waikato
04/26/10 University of Waikato
04/26/10 University of Waikato
04/26/10 University of Waikato
04/26/10 University of Waikato
04/26/10 University of Waikato
References and Resources ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Mais conteúdo relacionado

Mais procurados

Data warehouse architecture
Data warehouse architectureData warehouse architecture
Data warehouse architecturepcherukumalla
 
Understanding Bagging and Boosting
Understanding Bagging and BoostingUnderstanding Bagging and Boosting
Understanding Bagging and BoostingMohit Rajput
 
DATA MINING TOOL- ORANGE
DATA MINING TOOL- ORANGEDATA MINING TOOL- ORANGE
DATA MINING TOOL- ORANGENeeraj Goswami
 
Perceptron (neural network)
Perceptron (neural network)Perceptron (neural network)
Perceptron (neural network)EdutechLearners
 
Confusion Matrix
Confusion MatrixConfusion Matrix
Confusion MatrixRajat Gupta
 
Binary Class and Multi Class Strategies for Machine Learning
Binary Class and Multi Class Strategies for Machine LearningBinary Class and Multi Class Strategies for Machine Learning
Binary Class and Multi Class Strategies for Machine LearningPaxcel Technologies
 
5.1 mining data streams
5.1 mining data streams5.1 mining data streams
5.1 mining data streamsKrish_ver2
 
Lecture 16 memory bounded search
Lecture 16 memory bounded searchLecture 16 memory bounded search
Lecture 16 memory bounded searchHema Kashyap
 
Data Mining with WEKA WEKA
Data Mining with WEKA WEKAData Mining with WEKA WEKA
Data Mining with WEKA WEKAbutest
 
Data Analytics and Business Intelligence
Data Analytics and Business IntelligenceData Analytics and Business Intelligence
Data Analytics and Business IntelligenceChris Ortega, MBA
 
Dimensional Modeling
Dimensional ModelingDimensional Modeling
Dimensional ModelingSunita Sahu
 
Data mining: Classification and prediction
Data mining: Classification and predictionData mining: Classification and prediction
Data mining: Classification and predictionDataminingTools Inc
 
Classification in data mining
Classification in data mining Classification in data mining
Classification in data mining Sulman Ahmed
 
Artificial Intelligence Lab File
Artificial Intelligence Lab FileArtificial Intelligence Lab File
Artificial Intelligence Lab FileKandarp Tiwari
 
Classification in Data Mining
Classification in Data MiningClassification in Data Mining
Classification in Data MiningRashmi Bhat
 

Mais procurados (20)

Data warehouse architecture
Data warehouse architectureData warehouse architecture
Data warehouse architecture
 
Tree pruning
 Tree pruning Tree pruning
Tree pruning
 
Understanding Bagging and Boosting
Understanding Bagging and BoostingUnderstanding Bagging and Boosting
Understanding Bagging and Boosting
 
Uncertainty in AI
Uncertainty in AIUncertainty in AI
Uncertainty in AI
 
ID3 ALGORITHM
ID3 ALGORITHMID3 ALGORITHM
ID3 ALGORITHM
 
DATA MINING TOOL- ORANGE
DATA MINING TOOL- ORANGEDATA MINING TOOL- ORANGE
DATA MINING TOOL- ORANGE
 
Perceptron (neural network)
Perceptron (neural network)Perceptron (neural network)
Perceptron (neural network)
 
Confusion Matrix
Confusion MatrixConfusion Matrix
Confusion Matrix
 
Datawarehouse olap olam
Datawarehouse olap olamDatawarehouse olap olam
Datawarehouse olap olam
 
Binary Class and Multi Class Strategies for Machine Learning
Binary Class and Multi Class Strategies for Machine LearningBinary Class and Multi Class Strategies for Machine Learning
Binary Class and Multi Class Strategies for Machine Learning
 
5.1 mining data streams
5.1 mining data streams5.1 mining data streams
5.1 mining data streams
 
Lecture 16 memory bounded search
Lecture 16 memory bounded searchLecture 16 memory bounded search
Lecture 16 memory bounded search
 
Data Mining with WEKA WEKA
Data Mining with WEKA WEKAData Mining with WEKA WEKA
Data Mining with WEKA WEKA
 
Data Analytics and Business Intelligence
Data Analytics and Business IntelligenceData Analytics and Business Intelligence
Data Analytics and Business Intelligence
 
3. mining frequent patterns
3. mining frequent patterns3. mining frequent patterns
3. mining frequent patterns
 
Dimensional Modeling
Dimensional ModelingDimensional Modeling
Dimensional Modeling
 
Data mining: Classification and prediction
Data mining: Classification and predictionData mining: Classification and prediction
Data mining: Classification and prediction
 
Classification in data mining
Classification in data mining Classification in data mining
Classification in data mining
 
Artificial Intelligence Lab File
Artificial Intelligence Lab FileArtificial Intelligence Lab File
Artificial Intelligence Lab File
 
Classification in Data Mining
Classification in Data MiningClassification in Data Mining
Classification in Data Mining
 

Semelhante a WEKA Tutorial

Introduction to Weka and Preprocessing.ppt
Introduction to Weka and Preprocessing.pptIntroduction to Weka and Preprocessing.ppt
Introduction to Weka and Preprocessing.pptradhikadsu
 
wekapresentation-130107115704-phpapp02.pdf
wekapresentation-130107115704-phpapp02.pdfwekapresentation-130107115704-phpapp02.pdf
wekapresentation-130107115704-phpapp02.pdfDr. Rajesh P Barnwal
 
Machine Learning with WEKA
Machine Learning with WEKAMachine Learning with WEKA
Machine Learning with WEKAbutest
 
A simple introduction to weka
A simple introduction to wekaA simple introduction to weka
A simple introduction to wekaPamoda Vajiramali
 
Weka a tool_for_exploratory_data_mining
Weka a tool_for_exploratory_data_miningWeka a tool_for_exploratory_data_mining
Weka a tool_for_exploratory_data_miningTony Frame
 
Data Mining Concepts 15061
Data Mining Concepts 15061Data Mining Concepts 15061
Data Mining Concepts 15061badirh
 
Data Mining Concepts
Data Mining ConceptsData Mining Concepts
Data Mining Conceptsdataminers.ir
 
Data Mining Concepts
Data Mining ConceptsData Mining Concepts
Data Mining ConceptsDung Nguyen
 
data mining with weka application
data mining with weka applicationdata mining with weka application
data mining with weka applicationRezapourabbas
 
Computer notes - data structures
Computer notes - data structuresComputer notes - data structures
Computer notes - data structuresecomputernotes
 
Weka toolkit introduction
Weka toolkit introductionWeka toolkit introduction
Weka toolkit introductionbutest
 
Weka toolkit introduction
Weka toolkit introductionWeka toolkit introduction
Weka toolkit introductionbutest
 
Module three ppt of DWDM. Details of data mining rules
Module three ppt of DWDM. Details of data mining rulesModule three ppt of DWDM. Details of data mining rules
Module three ppt of DWDM. Details of data mining rulesNivaTripathy1
 
Linear Regression Algorithm | Linear Regression in R | Data Science Training ...
Linear Regression Algorithm | Linear Regression in R | Data Science Training ...Linear Regression Algorithm | Linear Regression in R | Data Science Training ...
Linear Regression Algorithm | Linear Regression in R | Data Science Training ...Edureka!
 

Semelhante a WEKA Tutorial (20)

Introduction to Weka and Preprocessing.ppt
Introduction to Weka and Preprocessing.pptIntroduction to Weka and Preprocessing.ppt
Introduction to Weka and Preprocessing.ppt
 
wekapresentation-130107115704-phpapp02.pdf
wekapresentation-130107115704-phpapp02.pdfwekapresentation-130107115704-phpapp02.pdf
wekapresentation-130107115704-phpapp02.pdf
 
Machine Learning with WEKA
Machine Learning with WEKAMachine Learning with WEKA
Machine Learning with WEKA
 
A simple introduction to weka
A simple introduction to wekaA simple introduction to weka
A simple introduction to weka
 
Weka a tool_for_exploratory_data_mining
Weka a tool_for_exploratory_data_miningWeka a tool_for_exploratory_data_mining
Weka a tool_for_exploratory_data_mining
 
Weka
WekaWeka
Weka
 
weka-tutorial-all.ppt
weka-tutorial-all.pptweka-tutorial-all.ppt
weka-tutorial-all.ppt
 
Data Mining Concepts 15061
Data Mining Concepts 15061Data Mining Concepts 15061
Data Mining Concepts 15061
 
Data Mining Concepts
Data Mining ConceptsData Mining Concepts
Data Mining Concepts
 
Data Mining Concepts
Data Mining ConceptsData Mining Concepts
Data Mining Concepts
 
Wek1
Wek1Wek1
Wek1
 
data mining with weka application
data mining with weka applicationdata mining with weka application
data mining with weka application
 
Unit 3.pptx
Unit 3.pptxUnit 3.pptx
Unit 3.pptx
 
Computer notes - data structures
Computer notes - data structuresComputer notes - data structures
Computer notes - data structures
 
Weka toolkit introduction
Weka toolkit introductionWeka toolkit introduction
Weka toolkit introduction
 
Weka toolkit introduction
Weka toolkit introductionWeka toolkit introduction
Weka toolkit introduction
 
Clusterix at VDS 2016
Clusterix at VDS 2016Clusterix at VDS 2016
Clusterix at VDS 2016
 
Weka-Presentation.ppt
Weka-Presentation.ppt Weka-Presentation.ppt
Weka-Presentation.ppt
 
Module three ppt of DWDM. Details of data mining rules
Module three ppt of DWDM. Details of data mining rulesModule three ppt of DWDM. Details of data mining rules
Module three ppt of DWDM. Details of data mining rules
 
Linear Regression Algorithm | Linear Regression in R | Data Science Training ...
Linear Regression Algorithm | Linear Regression in R | Data Science Training ...Linear Regression Algorithm | Linear Regression in R | Data Science Training ...
Linear Regression Algorithm | Linear Regression in R | Data Science Training ...
 

Mais de butest

EL MODELO DE NEGOCIO DE YOUTUBE
EL MODELO DE NEGOCIO DE YOUTUBEEL MODELO DE NEGOCIO DE YOUTUBE
EL MODELO DE NEGOCIO DE YOUTUBEbutest
 
1. MPEG I.B.P frame之不同
1. MPEG I.B.P frame之不同1. MPEG I.B.P frame之不同
1. MPEG I.B.P frame之不同butest
 
LESSONS FROM THE MICHAEL JACKSON TRIAL
LESSONS FROM THE MICHAEL JACKSON TRIALLESSONS FROM THE MICHAEL JACKSON TRIAL
LESSONS FROM THE MICHAEL JACKSON TRIALbutest
 
Timeline: The Life of Michael Jackson
Timeline: The Life of Michael JacksonTimeline: The Life of Michael Jackson
Timeline: The Life of Michael Jacksonbutest
 
Popular Reading Last Updated April 1, 2010 Adams, Lorraine The ...
Popular Reading Last Updated April 1, 2010 Adams, Lorraine The ...Popular Reading Last Updated April 1, 2010 Adams, Lorraine The ...
Popular Reading Last Updated April 1, 2010 Adams, Lorraine The ...butest
 
LESSONS FROM THE MICHAEL JACKSON TRIAL
LESSONS FROM THE MICHAEL JACKSON TRIALLESSONS FROM THE MICHAEL JACKSON TRIAL
LESSONS FROM THE MICHAEL JACKSON TRIALbutest
 
Com 380, Summer II
Com 380, Summer IICom 380, Summer II
Com 380, Summer IIbutest
 
The MYnstrel Free Press Volume 2: Economic Struggles, Meet Jazz
The MYnstrel Free Press Volume 2: Economic Struggles, Meet JazzThe MYnstrel Free Press Volume 2: Economic Struggles, Meet Jazz
The MYnstrel Free Press Volume 2: Economic Struggles, Meet Jazzbutest
 
MICHAEL JACKSON.doc
MICHAEL JACKSON.docMICHAEL JACKSON.doc
MICHAEL JACKSON.docbutest
 
Social Networks: Twitter Facebook SL - Slide 1
Social Networks: Twitter Facebook SL - Slide 1Social Networks: Twitter Facebook SL - Slide 1
Social Networks: Twitter Facebook SL - Slide 1butest
 
Facebook
Facebook Facebook
Facebook butest
 
Executive Summary Hare Chevrolet is a General Motors dealership ...
Executive Summary Hare Chevrolet is a General Motors dealership ...Executive Summary Hare Chevrolet is a General Motors dealership ...
Executive Summary Hare Chevrolet is a General Motors dealership ...butest
 
Welcome to the Dougherty County Public Library's Facebook and ...
Welcome to the Dougherty County Public Library's Facebook and ...Welcome to the Dougherty County Public Library's Facebook and ...
Welcome to the Dougherty County Public Library's Facebook and ...butest
 
NEWS ANNOUNCEMENT
NEWS ANNOUNCEMENTNEWS ANNOUNCEMENT
NEWS ANNOUNCEMENTbutest
 
C-2100 Ultra Zoom.doc
C-2100 Ultra Zoom.docC-2100 Ultra Zoom.doc
C-2100 Ultra Zoom.docbutest
 
MAC Printing on ITS Printers.doc.doc
MAC Printing on ITS Printers.doc.docMAC Printing on ITS Printers.doc.doc
MAC Printing on ITS Printers.doc.docbutest
 
Mac OS X Guide.doc
Mac OS X Guide.docMac OS X Guide.doc
Mac OS X Guide.docbutest
 
WEB DESIGN!
WEB DESIGN!WEB DESIGN!
WEB DESIGN!butest
 

Mais de butest (20)

EL MODELO DE NEGOCIO DE YOUTUBE
EL MODELO DE NEGOCIO DE YOUTUBEEL MODELO DE NEGOCIO DE YOUTUBE
EL MODELO DE NEGOCIO DE YOUTUBE
 
1. MPEG I.B.P frame之不同
1. MPEG I.B.P frame之不同1. MPEG I.B.P frame之不同
1. MPEG I.B.P frame之不同
 
LESSONS FROM THE MICHAEL JACKSON TRIAL
LESSONS FROM THE MICHAEL JACKSON TRIALLESSONS FROM THE MICHAEL JACKSON TRIAL
LESSONS FROM THE MICHAEL JACKSON TRIAL
 
Timeline: The Life of Michael Jackson
Timeline: The Life of Michael JacksonTimeline: The Life of Michael Jackson
Timeline: The Life of Michael Jackson
 
Popular Reading Last Updated April 1, 2010 Adams, Lorraine The ...
Popular Reading Last Updated April 1, 2010 Adams, Lorraine The ...Popular Reading Last Updated April 1, 2010 Adams, Lorraine The ...
Popular Reading Last Updated April 1, 2010 Adams, Lorraine The ...
 
LESSONS FROM THE MICHAEL JACKSON TRIAL
LESSONS FROM THE MICHAEL JACKSON TRIALLESSONS FROM THE MICHAEL JACKSON TRIAL
LESSONS FROM THE MICHAEL JACKSON TRIAL
 
Com 380, Summer II
Com 380, Summer IICom 380, Summer II
Com 380, Summer II
 
PPT
PPTPPT
PPT
 
The MYnstrel Free Press Volume 2: Economic Struggles, Meet Jazz
The MYnstrel Free Press Volume 2: Economic Struggles, Meet JazzThe MYnstrel Free Press Volume 2: Economic Struggles, Meet Jazz
The MYnstrel Free Press Volume 2: Economic Struggles, Meet Jazz
 
MICHAEL JACKSON.doc
MICHAEL JACKSON.docMICHAEL JACKSON.doc
MICHAEL JACKSON.doc
 
Social Networks: Twitter Facebook SL - Slide 1
Social Networks: Twitter Facebook SL - Slide 1Social Networks: Twitter Facebook SL - Slide 1
Social Networks: Twitter Facebook SL - Slide 1
 
Facebook
Facebook Facebook
Facebook
 
Executive Summary Hare Chevrolet is a General Motors dealership ...
Executive Summary Hare Chevrolet is a General Motors dealership ...Executive Summary Hare Chevrolet is a General Motors dealership ...
Executive Summary Hare Chevrolet is a General Motors dealership ...
 
Welcome to the Dougherty County Public Library's Facebook and ...
Welcome to the Dougherty County Public Library's Facebook and ...Welcome to the Dougherty County Public Library's Facebook and ...
Welcome to the Dougherty County Public Library's Facebook and ...
 
NEWS ANNOUNCEMENT
NEWS ANNOUNCEMENTNEWS ANNOUNCEMENT
NEWS ANNOUNCEMENT
 
C-2100 Ultra Zoom.doc
C-2100 Ultra Zoom.docC-2100 Ultra Zoom.doc
C-2100 Ultra Zoom.doc
 
MAC Printing on ITS Printers.doc.doc
MAC Printing on ITS Printers.doc.docMAC Printing on ITS Printers.doc.doc
MAC Printing on ITS Printers.doc.doc
 
Mac OS X Guide.doc
Mac OS X Guide.docMac OS X Guide.doc
Mac OS X Guide.doc
 
hier
hierhier
hier
 
WEB DESIGN!
WEB DESIGN!WEB DESIGN!
WEB DESIGN!
 

WEKA Tutorial