Development Of An Information Retrieval System Using Tree-Structured Clustering: Case Study Of FRSC Benue State

ABSTRACT

This research work is in respect to the development of an Information Retrieval System for the Federal Road Safety Corps in Benue State. An Information Retrieval System is a system that is capable of storage, retrieval and maintenance of information, the general objective of this  System is to minimize the overhead of a user locating needed information, overhead can be expressed as the time a user spends in all of the steps leading to reading an item containing the needed information. Cluster analysis is used to create groups of documents with the goal of improving the efficiency and effectiveness of retrieval The system uses tree-structured clustering techniques to group into cluster records of vehicles and their owners stored in the FRSC database, with this, similar record are store together in a group to ensure fast and effective retrieval of this records, also using a keyword to search for records of vehicles and their owners registered in a particular local government in the state can easily be view.

  •     TABLE OF CONTENTS                                                                                                                      

       Title Page   ----------------------------------------------------------------------  i   ­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­ ­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­

           Declaration  -------------------------------------------------------------------  ii

           Certification  ------------------------------------------------------------------  iii

           Dedication  -------------------------------------------------------------------  iv

           Acknowledgement  ------------------------------------------------------------ v


           Table of Content  ------------------------------------------------------------   vi

           Abstract  ---------------------------------------------------------------------  viii

           CHAPTER ONE:  INTRODUCTION

          1.1  Background of the study  ------------------------------------------------   1

           1.2  Statement of the study  --------------------------------------------------  3

          1.3  Justification for the study  -----------------------------------------------   3

          1.4  Aim and Objectives of the study  ---------------------------------------   4

          1.5  Scope of the study  -----------------------------------------------------    4

          1.6   Definition of terms  ---------------------------------------------------    4

          CHAPTER TWO:  LITERATURE REVIEW

          2.1  Introduction   -----------------------------------------------------------  6

          2.2   Federal Road Safety Commission (FRSC)  ----------------------------   7

          2.3  Hierarchical Agglomerative Clustering  -------------------------------  8

          2.4  Similarity Measures for Categorical Data  ----------------------------  11

          2.5  Information retrieval System  -----------------------------------------  14

          2.6  Mixed Clustering  ------------------------------------------------------ 15

    CHAPTER THREE:  RESEARCH METHODOLOGY

           3.1   Introduction  ---------------------------------------------------------  17

          3.2    Analysis of existing System  -----------------------------------------  19

           3.3  Disadvantages of the existing System  ------------------------------  20

           3.4  Evaluating the Proposed System  -----------------------------------  21

          3.5   Requirement of the Proposed System  ------------------------------  22

           3.6  The New System Design  -------------------------------------------  23

          3.7   Development Tools­­­­­­­­­­  ------------------------------------------------  28

           CHAPTER FOUR:  RESULT AND IMPLEMENTATION

           4.1  Introduction  -------------------------------------------------------  31

           4.2  System Requirement  ---------------------------------------------  31

          4.3   System Implementation and Maintenance  ----------------------  32

           CHAPTER FIVE:  SUMMARY, CONCLUSION AND RECOMENDATION

          5.1   Summary  --------------------------------------------------------  35

          5.2   Conclusion  ------------------------------------------------------  35

          5.3  Recommendation  -----------------------------------------------   35

           References  -----------------------------------------------------------  36

           Appendix  ------------------------------------------------------------   39

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APA

Ejilogo, S. (2018). Development Of An Information Retrieval System Using Tree-Structured Clustering: Case Study Of FRSC Benue State. Afribary. Retrieved from https://tracking.afribary.com/works/development-of-an-information-retrieval-system-using-tree-structured-clustering-a-case-study-of-benue-state-by-simon-ejilogo

MLA 8th

Ejilogo, Simon "Development Of An Information Retrieval System Using Tree-Structured Clustering: Case Study Of FRSC Benue State" Afribary. Afribary, 16 Oct. 2018, https://tracking.afribary.com/works/development-of-an-information-retrieval-system-using-tree-structured-clustering-a-case-study-of-benue-state-by-simon-ejilogo. Accessed 09 Nov. 2024.

MLA7

Ejilogo, Simon . "Development Of An Information Retrieval System Using Tree-Structured Clustering: Case Study Of FRSC Benue State". Afribary, Afribary, 16 Oct. 2018. Web. 09 Nov. 2024. < https://tracking.afribary.com/works/development-of-an-information-retrieval-system-using-tree-structured-clustering-a-case-study-of-benue-state-by-simon-ejilogo >.

Chicago

Ejilogo, Simon . "Development Of An Information Retrieval System Using Tree-Structured Clustering: Case Study Of FRSC Benue State" Afribary (2018). Accessed November 09, 2024. https://tracking.afribary.com/works/development-of-an-information-retrieval-system-using-tree-structured-clustering-a-case-study-of-benue-state-by-simon-ejilogo

Document Details
By: Simon Ejilogo Field: Computer Science Type: Project 51 PAGES (8187 WORDS) (docx)