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Dr Anjan Krishnamurthy
Dr Anjan Krishnamurthy

A short description to weka data mining tool

TecnologiaEducação
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MaxQDPro Team Anjan.K Harish.R II Sem M.Tech CSE 06/10/09 Machine learning with WEKA Machine Learning with WEKA
Agenda 06/10/09 Machine learning with WEKA
Introduction to WEKA ,[object Object],[object Object],[object Object],[object Object],06/10/09 Machine learning with WEKA
WEKA System Hierarchy April 10, 2006
Weka’s R ole in the B ig P icture 06/10/09 Machine learning with WEKA ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
KDD Process Machine learning with WEKA 06/10/09
WEKA: the software ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],06/10/09 Machine learning with WEKA
History ,[object Object],[object Object],[object Object],[object Object],06/10/09 Machine learning with WEKA
History ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],06/10/09 Machine learning with WEKA
WEKA: versions ,[object Object],[object Object],[object Object],[object Object],[object Object],06/10/09 Machine learning with WEKA
06/10/09 Machine learning with WEKA java weka.gui.GUIChooser
Explorer - Preprocessing ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Machine learning with WEKA 06/10/09
ARFF File 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],[object Object],[object Object],06/10/09 Machine learning with WEKA
Explorer - Classification ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Machine learning with WEKA 06/10/09
J48 = Decision Tree ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],06/10/09 Machine learning with WEKA
Cross-validation ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],06/10/09 Machine learning with WEKA
J48 Confusion Matrix ,[object Object],[object Object],[object Object],[object Object],[object Object],06/10/09 Machine learning with WEKA
Precision, Recall, and Accuracy ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],06/10/09 Machine learning with WEKA
Explorer - Clustering ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Machine learning with WEKA 06/10/09
Explorer - Associations ,[object Object],[object Object],[object Object],[object Object],[object Object],06/10/09 Machine learning with WEKA
[object Object],Food Milk Bread Fruit 2% Skimmed Fat Free Wheat White Apple Banana Orange Inorganic Organic Multiple-Level Association Rule Mining in Weka Level 1
CONCEPT HIERARCY Food Milk Bread Fruit 2% Skimmed Fat Free Wheat White Apple Banana Orange Inorganic Organic Multiple-Level Association Rule Mining in Weka Level 2
CONCEPT HIERARCY Food Milk Bread Fruit 2% Skimmed Fat Free Wheat White Apple Banana Orange Inorganic Organic Multiple-Level Association Rule Mining in Weka Level 3
Sample Execution (1) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],06/10/09 Machine learning with WEKA
Sample Execution (2) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],06/10/09 Machine learning with WEKA
Regression ,[object Object],[object Object],[object Object],[object Object],[object Object],Machine learning with WEKA 06/10/09
Explorer - Attribute Selection ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Machine learning with WEKA 06/10/09
Explorer - Data Visualization ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],06/10/09 Machine learning with WEKA
Performing experiments ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],06/10/09 Machine learning with WEKA
The Knowledge Flow GUI ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],06/10/09 Machine learning with WEKA
Projects based on W EKA ,[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],06/10/09 Machine learning with WEKA
W EKA and P ENTAHO ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],06/10/09 Machine learning with WEKA
Limitations of W EKA ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],06/10/09 Machine learning with WEKA
Summary ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],06/10/09 Machine learning with WEKA
References ,[object Object],[object Object],26/Sep/2006 S.P.Vimal, CS IS Group, BITS-Pilani

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