Step 1:
There are 20 training samples.
There are 14 on time Class Labels and 2 late Class labels and 3 very late Class
labels and 1 cancelled Class labels.
The entropy of the samples is
E = - 14/20 log2 (14/20) - 2/20 log2 (2/20) - 3/20 log2 (3/20) - 1/20
IS-397 Data Mining
Assignment 02
Summer Semester 2011-2012
Date: 10th July, 2012
Due date: 17th July, 2012
Qs 1. Using the k-nearest neighbor, calculate the class label of a new data sample:
Day = weekday, Season = winter, Wind = high, rain = heavy
Use k
Copyright 2007 Ramez Elmasr and Shamkant B. Navathei
Slide 3- 1
Chapter 3
Data Modeling Using the EntityRelationship (ER) Model
Copyright 2007 Ramez Elmasri and Shamkant B. Navathe
Chapter Outline
Overview of Database Design Process
Example Database Appli
Association Rule Mining
1
ASSOCIATION RULE MINING
Basic Concepts
If data is in the form of a table, there are a fixed number of
attributes (columns)
2
ASSOCIATION RULE MINING
Basic Concepts
Transactional data. The number of items in a row are
variable
TID
Classifier Performance
1
CLASSIFIER PERFORMANCE
Introduction
Any algorithm which assigns a classification to unseen or
new data samples is called a classifier.
We have studied three classifiers: decision trees, naive Bayes,
and nearest neighbor
We now stu
Classification: Nearest Neighbour
1
NEAREST NEIGHBOUR
K-Nearest Neighbors
Key Idea:
Just store all training examples
Thus the classifier building is very simple
2
NEAREST NEIGHBOUR
K-Nearest Neighbors
Classification: Given a test sample whose class label
Al-Imam Muhammad Ibn Saud University
College of Computer and Information Sciences
Information Systems Department
IS441 Project Management 3 credits hours
Core course
Summer semester 2012
Course outline
Instructor:
Dr. Waleed Rashideh
Office:
FR71
Telephon
IS - 397
DATA MINING
Topic 02: Classification Learning Decision Trees
Dr. Abdul Rauf Baig
1
DECISION TREES
Introduction
It is a method that induces concepts from examples (inductive learning)
Most widely used & practical learning method
The learning is su
Classification: Bayesian Method
1
BAYESIAN LEARNING
Classification Methods
We have already studied how to grow Decision Trees and
convert them into rules to form a classifier
Now we are going to study another method of classification:
Bayesian Classificat
IS - 397
DATA MINING
Dr. Abdul Rauf Baig
1
Grading Policy and Reference Book
2
INTRODUCTION
Grading
Midterm Exam
Assignments
Project
Final Exam
Email:
Room No.
30
10
20
40
-100
[email protected]
FR-82
3
INTRODUCTION
Course Book
Principles of Data
IS-397 Data Mining
Assignment 01
Summer Semester 2011-2012
Date: 30th June, 2012
Due date: 07th July, 2012
Make a decision tree for the following data and convert it into rules. The class attribute is
the last column called class.
1
AL-IMAM UNIVERSITY
College of Computer and Information Sciences
Information System Department
(Administration of Applied Database)
SemesterII 1432/1433
Name:
Number:
Consider the Following relations in a Database
Book (Bookid, Title, PublisherName)
Brandon Trust Develops MIS Capability for Improved
Operations and Services
Organizations typically exist to make money and to save money. But what about those
organizations registered as charities. whose goals are something other than profit
making? Brand
Requirement Engineering
in Solution Domain
Chapter 07
Ayham Fayyoumi
1
OUTLINE
What is the Solution Domain?
Engineering Requirements from Stakeholder
Requirements to System Requirements
Engineering Requirements from System Requirements
to Subsystems
O
Requirement Engineering
in Problem Domain
Chapter 06
Ayham Fayyoumi
1
OUTLINE
What is the Problem Domain?
Instantiating the Generic Process
Agree requirements with customer
Analyze and model
Derive requirements
2
Problem Domain
Operational view
Q. What d
AXIOM CLIENT / SERVER
TUTORIAL
IS 394
TO DOWNLOAD THE SOFTWARE
http:/www.iconcur-software.com/axiom.html
You have to download Axiom Client and Axiom Server
IS 394
AXIOM CLIENT SYSTEM REQUIREMENTS
The system requirements for the Axiom client are as follows
AXIOM 2012
AXIOM SERVER GUIDE
iConcur Software Corporation
1266 West Paces Ferry Road
Atlanta, GA 30327-2306
Axiom is a trademark of iConcur Software Corporation. All other product and company names are trademarks or registered
trademarks of their respect
ProjectAssignment
Grades:
15Marks
This assignment counts for 15% of the final grade.
Identify a system that you want to develop or improve for the rest of this term, and write an initial
statement of the problem that you will analyze. Identify and measure
Software Requirements Specification
Version 1.0
<Annotated Version>
Web Publishing System
IS394 Software Engineering Requirements
<Any comments inside double brackets such as these are not part of this SRS but are
comments upon this SRS example to help th