Unformatted text preview: ture values of other variables.
Find human-interpretable patterns that
describe the data. Examples of Data Mining Tasks
Classification [Predictive] (Chapters 4,5)
●Regression [Predictive] (covered in stats classes)
● Visualization [Descriptive] (in Chapter 3)
●Association Analysis [Descriptive] (Chapter 6)
●Clustering [Descriptive] (Chapter 8)
●Anomaly Detection [Descriptive] (Chapter 10)
● Software We Will Use: R
Can be downloaded from
http://cran.r-project.org/ for Windows, Mac or Linux Downloading R for Windows: Downloading R for Windows: Downloading R for Windows: Introduction to Data Mining
Tan, Steinbach, Kumar Chapter 2: Data What is Data?
An attribute is a property or
characteristic of an object
Examples: eye color of a
person, temperature, etc. Objects An Attribute is also known as variable,
field, characteristic, or feature
A collection of attributes describe an object
An object is also known as record, point, case,
sample, entity, instance, or observation Attributes Reading Data into R
Download it from the web at
http://sites.google.com/site/stats202/data/weblog2.txt What is your working directory?
> getwd() Change it to your deskop:
> setwd("/Users/rajan/Desktop") Read it in:
> data<-read.csv("weblog2.txt", sep=" ",header=F) Reading Data in...
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This note was uploaded on 02/03/2014 for the course STATS 202 taught by Professor Taylor during the Fall '09 term at Stanford.
- Fall '09