代写r语言时间序列问题作业SAX Method & Regression & Weka and Apriori
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:
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?