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Automated Intelligent System for Online Market Forecasts Using Statistical Model
S

Software Implementation for Automated Intelligent System for Online Market Forecasts Using Statistical Model

C.S. Project Software
Reference ID: SD-5001-CS

Software Implementation under Computer Science (CS)

Software Implementation for Automated Intelligent System for Online Market Forecasts Using Statistical Model can be acquired by Contacting or Whatsapping Sparklyn Services Software Programmer with the number displayed below 👇

DEDICATION

This research work titled "Automated Intelligent System for Online Market Forecasts Using Statistical Model" is dedicated to God for his enabling grace and to all computer enthusiasts who help to make life a pleasant experience.



i

ACKNOWLEDGEMENT

I owe my indebtedness to my Supervisor (Name of your Supervisor), the Head of Department (Name of your HOD), the Lecturers in the department of Computer Science (CS), Book Authors and Profound Scholars of existing/related research work for your moral support that facilitated the successful completion of my (Tertiary Institution level). I am grateful to God Almighty and my parent for their financial support in my career. I really appreciate you all for everything, Thank you very much.



ii


Automated Intelligent System for Online Market Forecasts Using Statistical Model

TABLE OF CONTENTS

Preliminary Pages

Chapter One

Introduction

  • 1.1 Background …

Chapter Two

Literature Review

  • 2.1 Introduction

Chapter Three

System Analysis and Design

  • 3.1 Methodology Adopted
  • 3.1.1 Problem Identification Using SSADM
  • 3.2 Analysis of the Existing System
  • 3.2.1 Dataflow of the Existing System
  • 3.2.2 Disadvantages Of The Existing System
  • 3.2.3 Weakness of the existing System
  • 3.3 Feasibility Study
  • 3.3.1 Economic Feasibility
  • 3.3.2 Technical Feasibility
  • 3.3.3 Operational Feasibility
  • 3.4 Analysis of the Proposed System
  • 3.4.1 Data Flow Diagram of the Proposed System
  • 3.4.2 Advantages of the Proposed System
  • 3.4.3 Justification of the Proposed System
  • 3.5 Functional Requirements
  • 3.5.1 Use Case Diagram Of The Admin / User Privileges
  • 3.6 Data Requirements
  • 3.7 High Level Model of the Proposed System

Chapter Four

System Design and Implementation

  • 4.1 Objectives of the Design
  • 4.2 Cohesion and Decomposition High level Model
  • 4.3 Control Center / Overall Dataflow Diagram
  • 4.3.1 Proposed System Operation Flowchart
  • 4.4 System Specification and Design
  • 4.4.1 Input and Output Specification
  • 4.4.2 Database Specification and Design
  • 4.4.3 Data Dictionary
  • 4.5 Choice and Justification of Programming Language
  • 4.6 Program Documentation
  • 4.7 Implementation Techniques
  • 4.8 Programming Module Specification
  • 4.8.1 Installation
  • 4.9 Computer Hardware Minimum Requirement
  • 4.10 Software Requirement
  • 4.11 Personnel / User Training

Chapter Five

Summary, Conclusion, and Recommendation

  • 5.1 Introduction
  • 5.2 Summary
  • 5.3 Conclusion
  • 5.4 Recommendation

References

Appendix A - Source Code

Appendix B - Object Program




iii


Automated Intelligent System for Online Market Forecasts Using Statistical Model

CHAPTER ONE

1.0 Introduction

Computers will remain an integral part of life; this is as a result of increasing number of areas where they have become indispensible. As a new application emerges computer practitioners are challenged and new systems or applications that address these new identified problems are designed and implemented. Sometimes, post implementation requirements crop up making modifications to already developed applications inevitable or engendering the need for a new application that encompasses all the requirements altogether (Charles, 2001).

Worthy of note also is the fact that business decision making relies heavily on market competition, this makes market forecasting very important in business planning. Market forecasting projects future numbers, characteristics and trends in your target market. It is of great importance to business owners, market practitioners, etc.

In a survey by Dalrymple (1975), he stated that 93 percent of companies indicated that market forecasting was one of the most crucial aspects of their company’s success. Market forecasting can be quite a daunting task for businesses especially small ones as a result of changing consumer preferences, product array and increased competition. They may need to forecast the size and the growth of a market or product category.

In this project, we are going to develop an intelligent system that forecasts online markets with the aid of statistical models that will help business owners make better business decisions.

1.1 Background Of Study

Online marketing have gained in popularity with the FOREX markets top on the list of trades that have been widely utilized. More formally, online marketing refer to any form of trading i.e. buying and selling including advertising that take place over the internet. Online markets are a way of making business more convenient for businesses which may be far away from one another. Through distant communication networks such as telecommunication, sub-sea optical fiber links and web programs over the internet framework these form of marketing have been made possible. In recent times there have been calls to make online marketing more intelligent, in particular helping businesses to survive stiff competition over the internet. We see this as a challenge since there is vast amount of online markets with a heavy presence on the internet.

1.2 Statement Of Problem

Statistical models have been useful in solving a variety of tasks. However, in online marketing forecasts this is yet to be fully realized. Thus, there is need to improve on existing models or invent new ones that can help online markets predict or forecast best market scenarios and avoid huge financial losses.

1.3 Objectives Of The Study

Our aim in this study is to develop an intelligent system for online market forecasts using statistical model. The objective is to:

  1. To improve existing statistical model for intelligently forecasting online market trends.
  2. Provide software interface for monitoring and control of online markets.
  3. To develop a forecasting system that enables business owners predict future business trends.

1.4 Significance Of The Study

  1. This study will expand the already rich body of knowledge in online market forecast.
  2. It will be useful for businesses on the internet to accurately predict business trends for profit maximization and loss reduction.

1.5 Limitations Of The Study

  1. Time constraint is one of the major challenges incurred by this research work, because to obtain a proper and sophisticated system you need enough time to carry out the research.
  2. Inability to obtain adequate information and data, as a result of financial constraint.

1.6 Scope Of The Study

This project will focus on the development of an intelligent online market forecasting system using time series models based on moving averages. This study is limited to online markets of goods and services.

CHAPTER TWO

2.0 Literature Review

2.1 Introduction

This chapter focuses on the review of related literature. A literature review includes the current knowledge as well as theoretical and methodological contributions to a particular topic. It documents the state of the art with respect to the topic you are writing. It surveys the literature in the topic selected. In this research work the literature review includes the …

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Proposal Writing Format for Computer Science (CS) Research Work

Final year research work is all about finding real life problem and proffering solution that will partially or totally eliminate the existing system bottlenecks. The following are the major and elective project proposal writing sections for "Automated intelligent system for online market forecasts using statistical model" research work;

Major Sections
  • Motivation for Embarking on the Project

  • Brief Background of Study

  • Statement of Problems

  • Aim of the Study

  • Specific Objectives of the Study

  • Significance of the Study (Who benefits from the project and how?)

Elective Sections
  • Methodology and Reason for Using It (such as; models, SSADM, or OOADM)

  • Tools (programming languages and software used)



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Proposal Writing Format for Computer Science Research Work


Automated Intelligent System for Online Market Forecasts Using Statistical Model is a proposal topic for final year research work, which comprises the major and elective project proposal writing sections for Automated Intelligent System for Online Market Forecasts Using Statistical Model research work.

Major Sections
  • Motivation for Embarking on the Project

  • Brief Background of Study

  • Statement of Problems

  • Aim of the Study

  • Specific Objectives of the Study

  • Significance of the Study (Who benefits from the project and how?)

Elective Sections
  • Methodology and Reason for Using It (such as; models, SSADM, or OOADM)

  • Tools (programming languages and software used)


Defense Procedure for Computer Science Researchers


Know your Project / Seminar Work (Automated Intelligent System for Online Market Forecasts Using Statistical Model): Here are the key point to study if your work is cumbersome or not.

  • Abstract

CHAPTER ONE

  • Motivation / Statement of Problems
  • Aims & Objective of Study
  • Scope of Study
  • Significance of Study

CHAPTER TWO

  • State two or more citation from your review of related literature.

CHAPTER THREE

  • Know the methodologies, tools and techniques used.

CHAPTER FOUR

  • Justification of your work and things to adhered to before using the system or research work.

CHAPTER FIVE

  • Conclusion and Recommendation

Dress Code: Your dress code should be cooperate wear for example; putting on suit and tie during project defense gives you an automatic mark without a word.

External Examiner / Supervisor Questioning & Student Answering: Questions will come from the research work, any difficult or unknown question, kindly say "Sorry Sir/Madam, the question is not within my scope of study".


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