Category: CS Courses

21
Jul
2020

Exercise 11: Problem solved: Data Mining

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  code for exercise : #a library(arules) data(Groceries) Groceries #b myrules=apriori(Groceries) inspect(myrules) #c myrules=apriori(Groceries,parameter=list(supp=0.05,conf=0.05)) #d inspect(myrules) myrules=apriori(Groceries,parameter=list(minlen=2))…

Data Mining
21
Jul
2020

Variable Rejection

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Data Mining, Data Mining
11
Jul
2020

Exercise 10: Solving for problem

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K={1, 1.1, 5, 5.1, 1.5, 5.2, 7.9, 1.2, 8.1, 9} Total item=10 iter1: m1=5 m2=9 K1={1, 1.1,…

Data Mining, Data Mining
11
Jul
2020

Data Mining: Cluster analysis doing manually chapter 10

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K-means clustering Algorithm for manually finding from observation: Step 1: Take mean value Step 2: Find nearest…

Data Mining, Data Mining
03
Jul
2020

Data Mining: Unit 9

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Ensemble Models: Basics Boosting Ranmdom Forests Support Vector Machines Basics Linear Classification Nonlinear Classification Properties of SVMs…

Data Mining, Data Mining
03
Jul
2020

Data Mining: Exercise 8

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Design of network topology Determine: Number of input nodes Too few nodes => misclassification Too many nodes=>…

Data Mining, Data Mining