Data Mining
Stock Exchange forecasting with Data Mining and Text Mining
(Marketing and Sales Analysis)
Full names : Fahed Yoseph
TITLE : Senior software and Database Consultatnt (Founder of Info Technology System)
E-mail: Yoseph@info-technology.net
Date of submission: Sep 15th of 2013
CONTENTS PAGE
Chapter 1
1. ABSTRACT 2
2. INTRODUCTION 3
2.1 The research problem. 4
2.2 The objectives of the proposal. 4
2.3 The Stock Market movement. 5
2.4 Research question(s). 6
2. Background
3. Problem Statement
4. Objectives
5. Significance of the Research
6. Research Scope
7. Contributions
10. Research Methodology
3. LITERATURE REVIEW 7
4. PROPOSED METHODOLOGY 7
4.1 Research design. 7
4.2 Data sources 8
4.3 Data collection techniques. 8
4.4 Definitions of key terms, concepts and variables. 9
4.5 Data analysis and interpretation. 9
4.6 Ethical considerations. 10
5. THE PROPOSED SOLUTION 8
5.1 What is Data Mining. 8
5.2 Benefits of Data Mining 8
5.3 What is Text Mining . 8
5.4 Benefits of Text Mining . 8
5.5 Tasks accomplished by Data and Text Mining . 9
5.6 Software Vendors . 9
1. Abstract
Stock Market prediction Using Data Mining is the pathway for an accurate financial prediction.
Using Data Mining historical numbers and Text Mining historical documents and time series concurrently, such as predicting the movements of stock prices based the historical data and the historical contents of the news using Data digits and Texual Data.
Stock market data analysis needs the help of software intelligence and data mining pointers. The stock prices depend on gains and losses of certain publicly traded companies and political and economical events. Many people consider the stock Market prediction as gambling. Many stock brokers are unaware of the fact it is possible to generate constructive patterns by the analysis of stock prices. Data mining techniques can be applied on past and present financial data to generate patterns and make
(Marketing and Sales Analysis)
Full names : Fahed Yoseph
TITLE : Senior software and Database Consultatnt (Founder of Info Technology System)
E-mail: Yoseph@info-technology.net
Date of submission: Sep 15th of 2013
CONTENTS PAGE
Chapter 1
1. ABSTRACT 2
2. INTRODUCTION 3
2.1 The research problem. 4
2.2 The objectives of the proposal. 4
2.3 The Stock Market movement. 5
2.4 Research question(s). 6
2. Background
3. Problem Statement
4. Objectives
5. Significance of the Research
6. Research Scope
7. Contributions
10. Research Methodology
3. LITERATURE REVIEW 7
4. PROPOSED METHODOLOGY 7
4.1 Research design. 7
4.2 Data sources 8
4.3 Data collection techniques. 8
4.4 Definitions of key terms, concepts and variables. 9
4.5 Data analysis and interpretation. 9
4.6 Ethical considerations. 10
5. THE PROPOSED SOLUTION 8
5.1 What is Data Mining. 8
5.2 Benefits of Data Mining 8
5.3 What is Text Mining . 8
5.4 Benefits of Text Mining . 8
5.5 Tasks accomplished by Data and Text Mining . 9
5.6 Software Vendors . 9
1. Abstract
Stock Market prediction Using Data Mining is the pathway for an accurate financial prediction.
Using Data Mining historical numbers and Text Mining historical documents and time series concurrently, such as predicting the movements of stock prices based the historical data and the historical contents of the news using Data digits and Texual Data.
Stock market data analysis needs the help of software intelligence and data mining pointers. The stock prices depend on gains and losses of certain publicly traded companies and political and economical events. Many people consider the stock Market prediction as gambling. Many stock brokers are unaware of the fact it is possible to generate constructive patterns by the analysis of stock prices. Data mining techniques can be applied on past and present financial data to generate patterns and make