Data Mining:
Concepts and Techniques
Chapter 6
Jiawei Han
Department of Computer Science
University of Illinois at Urbana-Champaign
www.cs.uiuc.edu/~hanj
2006 Jiawei Han and Micheline Kamber, All rights reserved
July 13, 2014
Data Mining: Concepts and T
DataMiningIS421Assignment2
Fall2010
Assignment 2
Write a java program that reads in a tab-delimited data file where each line contains the point ID
and the feature values of the data point in n-dimensions. For example:
14
46.46690
59.22200
45.87531
Given
/*
* To change this template, choose Tools | Templates
* and open the template in the editor.
*/
package dm_summer_ass3;
import java.io.BufferedReader;
import java.io.DataInputStream;
import java.io.FileInputStream;
import java.io.FileNotFoundException
DataMiningIS421Assignment4
Question 1 (Programming Assignment):
Write a java program that reads in a comma-delimited data file (training file) where
each line contains feature values of the data point in 5-dimensions and the dimension
(5) contains the nam
DataMiningIS421Assignment4
Question 1 (On-Paper Assignment):
For the following data points which are the shaded blocks ONLY (the numbers
indicate the positions on a 1-dimentional scale) Please refer to the nodes by their
numbers. For the distance between
DataMiningIS421Assignment2
Question 1 (Programming Assignment):
Write a java program that reads in a comma-delimited data file where each line
represents a transaction and line consists of IDs that represent components of
transaction.
For Example:
3,4,5,1
DataMiningIS421Assignment1
Question 1:
Write a program in java such that performs the following task:
Given a data file with 2 rows of numeric data (x , y) the program should take
read all the lines in the file.
For each row, your program should compute:
DataMiningIS421Assignment3
Question 1 (Programming Assignment):
Write a java program that reads in a comma-delimited data file where each line contains
feature values of the data point in n-dimensions and the file contains only 2 lines - one for each
data
Data Mining IS421 Assignment 1 Fall 2010
Description:
Given a list of 1000 data points that are drawn from a normal distribution (provided in a separate
file 1 data point per line):
1. Write Java or C#.net code that computes the mean and standard deviatio
DataMiningIS421Assignment3
Fall2010
Assignment 3
Curve Fitting
Write a java a program that performs linear least squares fitting of points.
Your program should read in a file containing 2 dimensional points (in x and y), where the points
are provided 1 pe
Data Mining:
Concepts and Techniques
Chapter 8
8.4. Mining sequence patterns in biological data
Jiawei Han and Micheline Kamber
Department of Computer Science
University of Illinois at Urbana-Champaign
www.cs.uiuc.edu/~hanj
2006 Jiawei Han and Micheline
Data Mining:
Concepts and Techniques
Chapter 8
8.1. Mining data streams
Jiawei Han and Micheline Kamber
Department of Computer Science
University of Illinois at Urbana-Champaign
www.cs.uiuc.edu/~hanj
2006 Jiawei Han and Micheline Kamber. All rights rese
Data Mining:
Concepts and Techniques
Chapter 8
8.3 Mining sequence patterns in transactional
databases
Jiawei Han and Micheline Kamber
Department of Computer Science
University of Illinois at Urbana-Champaign
www.cs.uiuc.edu/~hanj
2006 Jiawei Han and Mi
Data Mining:
Concepts and Techniques
Chapter 8
8.2 Mining time-series data
Jiawei Han and Micheline Kamber
Department of Computer Science
University of Illinois at Urbana-Champaign
www.cs.uiuc.edu/~hanj
2006 Jiawei Han and Micheline Kamber. All rights r
2010/2011
Information Systems Department
Course Name: Data Mining Course
Fourth Year
Course Code: IS421
Sheet1: Cumulative Sheet on Principles of Statistics, Probabilities, Noise, and Outliers
Solve All the Following Questions:
1) Question One (5 grades 1
2010/2011
Information Systems Department
Course Name: Data Mining Course
Fourth Year
Course Code: IS421
Sheet1 Solutions: Cumulative Sheet on Principles of Statistics, Probabilities, Noise, and Outliers
1) Question One (5 grades 1 for each point distribut
DataMiningIS421Assignment4
Fall2010
Letter Recognition (Classification)
Optical Character Recognition (OCR) is a technology that involves converting printed characters
from digitized (scanned) documents to machine coded characters. The typical OCR process
/*
* To change this template, choose Tools | Templates
* and open the template in the editor.
*/
package dm_summer_ass1;
import java.io.*;
import java.util.ArrayList;
import java.util.Collections;
import java.util.StringTokenizer;
/*
*
* @author Amy
Association Rules
Berlin Chen
Graduate Institute of Computer Science & Information Engineering
National Taiwan Normal University
References:
1. Data Mining: Concepts, Models, Methods and Algorithms, Chapter 8
2. Data Mining: Concepts and Techniques , Chap
Probability
Section 9
Probability of A =
Number of outcomes for which A happens
Total number of outcomes (sample space)
Probability
In this section we summarise the key issues in the
basic probability teach-yourself document and provide
a single simple ex
Data Mining IS421
Accumulated Sheet
Given the following training set:
Gender
Female
Male
Male
Female
Male
Female
Male
Female
Male
Male
Car Type
Family
Sports
Luxury
Sports
Sports
Family
Luxury
Luxury
Family
Sports
Shirt Size
Small
Large
Small
Large
Medium
Covariance & Correlation Coefficient
In probability theory and statistics, covariance is a measure of how much two
variables change together. If two variables tend to vary together then the covariance
between the two variables will be positive. Otherwise,
:Basic Probabilities
:Independent & Dependent events
If the occurrence or non-occurrence of E1 does not affect the probability of occurrence of E2.Then E1 and E2 are
.said to be independent events.Otherwise they are said to be dependent events
:Independen
Data Mining
:Lab 1
:Tendency Measures
Central Tendency: One definition of central tendency is the point at which the
distribution is in balance. Figure below shows the distribution of the five numbers 2,
3, 4, 9, 16 placed upon a balance scale. If each nu
Plot the data
.a
Solution of linear regression equation
.b
Where y = ax + b
a
=
0
.
0
2
8
4
3
1
b = 0.627119
Sumofabsoluteerror
.c
Icalculatedandwasabout(8.201),anyvalueaboutthisvalueshouldbefine(Ifthereisa
(chance,pleaserevisethecalculationsinstudentsans