Pricing and Valuation of Forward and Futures
1.1 Cash-and-carry arbitrage
The price of the forward contract is related to the spot price of the underlying asset, the
risk-free rate, the date of expiration, and any expected cash distributions of the underl

Loan
Statistics
Count
2500
Mean
13897.560
Min
1300.000
Max
23500.000
Range
22200.000
Variance
Standard Deviation
26723167.313
5169.446
Standard Error of Mean
Median
103.389
13900.000
Value
Statistics
Count
2469
Mean
92561.415
Min
8000.000
Max
286955.000
R

QMT761 GROUP ASSIGNMENT 1
Hand in by 1 Nov 2014
Question 1
a)
Discuss the difference in CART, C5 and CHAID algorithms.
The main difference is in the tree construction process. In order to avoid over-fitting the
data, all methods try to limit the size of t

Class Exercise 1:
Variable
name
salary
salbegin
gender
Educ
Jobcat
Role
Target
Input
Input
Input
Input
Variable
Type
Continuous
Continuous
Categorical
Continuous
Categorical
Measurement
Level
Ratio
Ratio
Nominal
Ratio
Nominal
Preexp
Input
continuous
Ratio

Class Exercise 1
Variable name
Role
Variable Type
salary
salbegin
gender
educ
Target
Input
Input
Input
Continuous
Continuous
Categorical
Continuous
Measurement
Level
Ratio
Ratio
Nominal
Ratio
jobcat
Input
Categorical
Nominal
preexp
Input
Continuous
Ratio

Class Exercise 1
Complete the table below.
Variable name
salary
salbegin
gender
educ
jobcat
Role
Target
Input
Variable Type
Continuous
Measurement Level
Ratio
preexp
Description
Current salary
Beginning salary
M=male, F=female
Education (years)
1=Clerical

AN ANALYSIS OF BREAST CANCER PREDICTION USING
DATA MININGTECHNIQUES
GOH E-THENG
This report is submitted in partial fulllment of the requirements for the
Bachelor of Computer Science (Articial Intelligence)
FACULTY OF INFORMATION AND COMMUNICATION TECH

Informatics in Education, 2008, Vol. 7, No. 1, 3154
2008 Institute of Mathematics and Informatics, Vilnius
31
Data Mining Application in Higher Learning
Institutions
Naeimeh DELAVARI, Somnuk PHON-AMNUAISUK
Faculty of Information Technology, Multimedia Un

300-350 words
Zaid (2014) in his article entitled Nuclear energy is not an option mentions his stand that he
disagrees with the idea of building nuclear power plant in Malaysia. We support his opinion
because of several reasons.
Firstly, nuclear power neg

matrix.
* define a matrix with the compute command*.
* A is a 2 X 2 matrix*.
compute A=cfw_3,2;4,0.
* B is a 2 X 5 matrix*.
compute B=cfw_1,3,0,5,7;2,4,3,3,3.
* C is a 2 X 2 matrix*.
compute C=cfw_0,8;9,1.
* transpose B*.
compute Btrans=transpos(B).
* Add

safety. Malaysia, which has the second highest motor vehicle ownership level among the
developing countries in the Asian and Pacific region, does not appear to have a serious
pedestrian accidents problem (ADB, 1996). However, the Malaysian Institute of Ro

Noorizam Q007) by fiuing Poisson and Negative Binomial distribution for fatal and
serious injury accident data obtained from 200 locations
in Malaysia from year 1996 to
1998. In their study, they concluded that Negative Binomial distribution is suitable f

On the other hands, some of the researchers claimed that accident data cannot be
fitted by the Poisson distribution. Hauer and Persaud (1987) introduced the Poissongalnma generalized linear model which is now widely accepted which is allowing the
Poisson

CHAPTER 2
LTTERATURE REVIEW
2.1
The Distribution of Accident Data
Amongst the studies conducted by the statisticians, the well known distributions that
related to the accident data are Poisson distribution, Binomial distribution, Negative
Binomial distrib

-:
Chapter two in this project shows the literature review or previous studies which
is done by many researchers. Many literature review obtained from the journals, internet,
and projects was collected and discussed in this chapter.
Chapter three reveals

1.5
Significance of Study
The identification of pedestrian accident prone locations could help the road authority to
make the decision regarding the road safety especially
in
order
to
improve the
pedestrians' safety.
1.6
Scope and
1)
This study only exami

Classical approach is one of the method that always be used by the statisticians in
order to identifo the accident blackspots. Using this method, the hazardous locations
eOuld be
idettified by rankittg all the locations according to their accident history

for road infrastrucfure and many more. Pedestrian exposure research has been conducted
for decades, however the crashes between pedestrians and motor vehicles become more
serious problem. Therefore, this paper concentrates on reducing the number of pedest

CHAPTER
1
INTRODUCTION
1.1
Background of Study
Walking is a routine action for all human being. People walk everyday to different
destinations for various reasons. Pedestrians consist
genders
of all age groups, including both
with all different kinds of o

Employees' Data Mining Readiness in the
Malaysian Insurance Industry:
A Preliminary Study
T. Ramayah*
Noornina Dahlan**
Ruzi Panjang Adni***
Abstract
This paper addresses the readiness of employees in the insurance industry to adopt data mining techn

International Journal on New Computer Architectures and Their Applications (IJNCAA) 1(4): 1086-1098
The Society of Digital Information and Wireless Communications, 2011 (ISSN: 2220-9085)
A Data Mining Approach to Construct
Graduates Employability Model in

Recent Advances in Computer Science and Applications
Data Mining Techniques for Credit Risk Assessment Task
ADNAN DZELIHODZIC, DZENANA DONKO
International Burch University
Francuske revolucije bb, Ilidza, Sarajevo
BOSNIA AND HERZEGOVINA
adnandz@gmail.com,

Predicting the Political Alignment of Twitter Users
Michael D. Conover, Bruno Goncalves, Jacob Ratkiewicz, Alessandro Flammini and Filippo Menczer
Center for Complex Networks and Systems Research
School of Informatics and Computing
Indiana University, Blo

Gagliardi, 1
The Use of Twitter by Freshmen Members of the
112th Congress of the
United States House of Representatives
CCTP 803
Media and Politics
Professor Diana Owen
Georgetown University
Master of Arts Program
Communication, Culture and Technology
By

Sentiment Knowledge Discovery in Twitter
Streaming Data
Albert Bifet and Eibe Frank
University of Waikato, Hamilton, New Zealand
cfw_abifet,eibe@cs.waikato.ac.nz
Abstract. Micro-blogs are a challenging new source of information for
data mining techniques.

Social Networking and Constituent
Communications: Members Use of Twitter
and Facebook During a Two-Month Period in
the 112th Congress
Matthew Eric Glassman
Analyst on the Congress
Jacob R. Straus
Analyst on the Congress
Colleen J. Shogan
Deputy Director a

Mining and Profiling in Social Media
Xia Hu
Arizona State University
xiahu@asu.edu
Huan Liu
Arizona State University
huanliu@asu.edu
Word Count: 3,505
Keywords: Social Media, Data Mining, Profiling, Social Network Analysis, Sentiment Analysis,
Cybersecuri

Social Networking and Constituent
Communication: Member Use of Twitter
During a Two-Week Period in the 111th
Congress
Matthew Eric Glassman
Analyst on the Congress
Jacob R. Straus
Analyst on the Congress
Colleen J. Shogan
Senior Specialist in Government a

Australian Journal of Basic and Applied Sciences, 6(12): 23-29, 2012
ISSN 1991-8178
A Survey on Security Awareness among Social Networking Users in Malaysia
Iskandar Ishak, Fatimah Sidi, Marzanah A. Jabar, Nor Fazlida Mohd Sani, Aida Mustapha,
Siti Rozana

Probability
Definition of probability
Probability is the measure of the likelihood that an event will occur.
Many events can't be predicted with total certainty. The best we can say is how likely they are
to happen, using the idea of probability.
Example: