Design and implementation of crime rate prediction and detection system

202

Abstract

The main thrust of this thesis is on Crime rate prediction and detection system. Common Integrated Police Application [CIPA] has been utilized for the storage and processing of crime data, and while this is helpful in gathering criminal data, it does not aid in the development of strategies for crime prevention. Detecting and anticipating crimes is becoming increasingly challenging for the police system. This leads to an increase in crime rates because there is no prior warning of the illegal behaviors taking place. Forecasting techniques can be used to anticipate crime in a certain location, which could be useful in crime prevention. The Short Term Forecasting algorithm is being used to predict the future crime rate and its efficiency is being measured using measurements such as Mean Absolute Percent Error [MAPE] and Mean Absolute Deviation [MAD].

TABLES O CONTENTS

Chapter Contents Page No.
1 INTRODUCTION 1
1.1 Description 1
1.2 Problem Formulation 1
1.3 Motivation 2
1.3 Proposed Solution 3
1.4 Scope of the project 5
2 REVIEW OF LITERATURE 6
3 SYSTEM ANALYSIS 8
3.1Functional Requirements 8
3.2 Non Functional Requirements 8
3.3 Specific Requirements 9
3.4 Use-Case Diagrams and description 10
ANALYSIS MODELING 12
4.1 Data Modeling 12
4.2Activity Diagrams 14
4.3 Functional Modeling 16
4.4 TimeLine Chart 17
4 DESIGN 19
5.1 Architectural Design 19
5.2 User Interface Design 21
IMPLEMENTATION 26
6.1 Algorithms / Methods Used 26
6.2 Working of the project 28
TESTING 63
7.1 Type of Testing used 63
7.2 Test cases 64
5 RESULTS AND DISCUSSIONS 66
CONCLUSIONS &FUTURE SCOPE 68
APPENDIX 69
LITERATURE CITED 70
  • Get Full Work -N4000
  • __________________
  • This topic contains:
  • Chapter 1-5
  • Abstract
  • References
  • Appendix/If applicable

Contents