WEKA -Classification, Association, Clustering | Apriori, J48, ID3, Naive Bayes ,Simple K Means | DM

Описание: WEKA -Classification, Association, Clustering Rules Using Apriori, J48, ID3, Naive Bayes ,Simple K Means Algorithms Lab Programs :


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✓Using Weka Tools :

1) Demonstration of preprocessing on dataset student.arff

2) Demonstration of preprocessing on dataset labor.arff

3) Demonstration of Association rule process on dataset contactless.arff using apriori algorithm

4) Demonstration of Association rule process on dataset test.arff using apriori algorithm

5) Demonstration of classification rule process on dataset student.arff using j48 algorithm

6) Demonstration of classification rule process on dataset employee.arff using j48 algorithm

7) Demonstration of classification rule process on dataset employee.arff using id3 algorithm

8) Demonstration of classification rule process on dataset employee.arff using naive bayes algorithm

9) Demonstration of clustering rule process on dataset iris.arff using simple k-means

10) Demonstration of clustering rule process on dataset student.arff using simple k-means

✓How to Create and Modify Dataset (.arff)

✓How to install id3 Tool or algorithm



Display Welcome Message Using Servlet 👇

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Employee Pay Slip Using JSP 👇

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✓This Video is Helpful for Lab Programming Students


Time Stamps ✨

0:00 Introduction
0:20 Arff File
0:35 Datasets
1:09 1)Preprocessing on dataset Student.arff
2:32 2)Preprocessing on dataset Labor.arff
3:28 3)Association Rule Process on dataset Contactlenses.arff using Apriori Algorithm
5:11 4)Association Rule Process on dataset test.arff using Apriori Algorithm
6:11 5)Classification Rule Process on dataset Student.arff using J48 Algorithm
7:42 Employee.arff
7:55 We Create Dataset (Employee.arff)
8:05 Attribute Relation File Format
9:11 6)Classification Rule Process on dataset Employee.arff using J48 Algorithm
10:27 ID3 Algorithm Install Process
10:43 ID3 Tool
11:05 7)Classification Rule Process on dataset Employee.arff using ID3 Algorithm
11:44 8)Classification Rule Process on dataset Employee.arff using Naive Bayes Algorithm
12:40 9)Clustering Rule Process on dataset iris.arff using Simple K Means Algorithm
13:44 10)Clustering Rule Process on dataset Student.arff using Simple K Means Algorithm
14:21 Conclusion


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