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Homework 3


 


 

NOTE: Submit soft-copy of required material on blackboard.

 

Problem 1 - SAX Method

 

Implement the SAX method in a programming language that you are comfortable with. Submit your code. The input is a time series and the output is a string.

 

Problem 2 - Regression

 

Read about and download the blogFeedback dataset from here:

 

https://archive.ics.uci.edu/ml/datasets/BlogFeedback

 

1. Perform multivariate Regression to predict the target variable. Implement multivariate regression using any programming language that you are comfortable with. Train on BlogData Train.csv and test on blogData test-2012.03.31.01 00.csv. Report the squared error.


 


 

Problem 3 - Weka and Apriori

 

Load the supermarket.arff from the sample datasets provided by Weka in \/data" folder.

 

Report the top 10 rules with con dence above 0.8.

 

Let f(c) denote the maximum minimum-support that allows you to nd rules with con - dence c. Plot f(c) for con dence values: c 2 f0:1; 0:2; : : : ; 0:9g (you can get this support value by setting lower/upper bounds for support in Weka). What trend do you observe?


 



 


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