× Close

📚 Departmental Project and Seminar Proposal Topics with Materials
Accounting Topics
Banking and Finance Topics
Civil Engineering Topics
Computer Engineering Topics
Computer Science Topics
Curriculum Studies Topics
Economics Education Topics
English Education Topics
English Language Topics
Entrepreneurship Topics
Guidance and Counselling Topics
Law Topics
Maritime and Transport Topics
Mass Communication Topics
📚 (2023) Project / Seminar Proposal Topics and Materials

Search for Project and Seminar Topics Post Advertisement Items for Promotion
Software Implementation of an Information System for Data Mining on Employees

Software Implementation of an Information System for Data Mining on Employees

C.S. Project Software
Reference ID: SD-5066-CS

Software Implementation under Computer Science (CS)

Software Implementation of an Information System for Data Mining on Employees can be acquired by Contacting or Whatsapping Sparklyn Services Software Programmer with the number displayed below 👇


This research work titled "Design and Implementation of an Information System for Data Mining on Employees" is dedicated to God for his enabling grace and to all computer enthusiasts who help to make life a pleasant experience.



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.


Design and Implementation of an Information System for Data Mining on Employees





  • 1.1 Background …



  • 2.1 Introduction



  • 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



  • 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
  • 4.7.1 System Testing
  • 4.8 Programming Module Specification
  • 4.8.1 Installation
  • 4.9 Computer Hardware Minimum Requirement
  • 4.10 Software Requirement
  • 4.11 Personnel / User Training
  • 4.12 File Maintenance Module



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





Design and Implementation of an Information System for Data Mining on Employees


1.0 Introduction

Data Mining (DM) really gained a lot of prominence in the society as it helped make prediction methodologies easier in various fields. Data mining may be viewed as the extraction of patterns and models from observed data. Data mining tools aid the discovery of patterns in data. Gartner, the global leader in technology research and IT services define mining as the process of discovering meaningful correlations, patterns and trends by sifting through large amount of data stored in depositories. Any data base or data ware house that is rich and colorful with information has to be mined for intelligent decision making. Over the years, various techniques have evolved in DM namely machine learning, statistics, classification, clustering, rule induction, pattern recognition, neural networks. Out of these classification and predictions gained much importance as they really promoted intelligent decisions. They have also been introduced in machine learning, statistics and pattern recognition. Although DM techniques have attracted all fields like medical, telecommunication, manufacturing, health care and customer relationship, the technique was not of much attraction to the HR fields. But things have changed recently in HR also or the so called Talent Management(TM) which is considered sometimes within and beyond HRM.

It is very important organizations gain valuable information concerning the performance of the employees or human resources. To achieve this, a data mining system is needed to extract and cluster relevant information about employees performance so as to be able to cluster and easily identify the different data set of employees and their performance.

1.1 Theoretical Background

In organizations, DM goes beyond the exact purpose when it reaches knowledge discovery. Employee retentions and compensations are done based on these patterns developed. Knowledge Management (KM) is about developing, sharing and applying knowledge within organization to gain and sustain a competitive advantage. Nowadays, in the knowledge era (K-Era), knowledge is a valuable asset and among the crucial issues to address. Knowledge can be discovered through many approaches and one of them is by using data mining technique. In data mining, tasks such as classification, clustering and association are used to discover implicit knowledge from huge amount of data. Classification technique is a supervised learning technique in machine learning, which the class level or the target is already known. There are many fields adapted this approach as their problem solver method, such as finance, medical, marketing, stock market, telecommunication, manufacturing, health care, customer relationship, education and some others. Nevertheless, the application of data mining has not attracted much attention in Human Resource Management (HRM) field (Chien & Chen, 2008;Ranjan, 2008). The vast amount of data in HRM can provide a rich resource for knowledge discovery and for decision support system development. Besides that, the valuable knowledge discovered from data mining process should be considered as part of knowledge management issues. In any organization, they have to struggle effectively in term of cost, quality, service or innovation. The success of these tasks depends on having enough right people with the right skills, employed in the appropriate locations at appropriate point of time. This is categorized as part of the talent management task in HRM. In addition, talent management is a process to ensure the right person is in the right job (Cubbingham, 2007).

1.2 Statement of the Problem

Recently, among the challenges of human resource professionals are managing an organization talent which involves a lot of managerial decisions. These types of decision are very uncertain and difficult. It depends on various factors like human experiences, knowledge, preferences and judgments. Besides that, the process to identify the existing talent in an organization is among the top talent management issues and challenges. Employees in an organization are evaluated based on their performance in order to represent their talent ability. In an organization it is difficult to determine the level of performance of employees without a data mining system to extract, classify and predict employee performance. It is in view of this need to apply data mining for obtaining relevant information about employees that necessitated this study.

1.3 Aim and Objectives of the Study

The aim of the research work is to develop an employee data mining information system. The following are the specific objectives:

  1. To develop a database application to capture employee performance record.
  2. To use data mining technique to extract and process the information for evaluation of employee performance.
  3. To develop a system that will cluster employee performance information for easy management of employees.

1.4 Significance of the Study

The significance of the research work is that it will provide relevant information for the local government employers in Oruk Anam to obtain vital information about the performance of employees. It will enable them identify employees that need more training and those that are performing well. The study will serve as an instant information system for the top level management in the local government. The study will also serve as a useful reference material to other researchers seeking for information related to the subject

1.5 Scope of the Study

This research work covers employee data mining information system using Oruk Anam local government area as a case study. It is limited to the mining of employees performance in the local government secretariat.

1.6 Organization of the Research

This research work is organized into five chapters.

Chapter one is concerned with the introduction of the research study and it presents the preliminaries, theoretical background, statement of the problem, aim and objectives of the study, significance of the study, scope of the study, organization of the research and definition of terms.

Chapter two focuses on the literature review, the contributions of other scholars on the subject matter is discussed.

Chapter three is concerned with the system analysis and design. It presents the research methodology used in the development of the system, it analyzes the present system to identify the problems and provides information on the advantages and disadvantages of the proposed system. The system design is also presented in this chapter.

Chapter four presents the system implementation and documentation, the choice of programming language, analysis of modules, choice of programming language and system requirements for implementation.

Chapter five focuses on the summary, constraints of the study, conclusion and recommendations are provided in this chapter based on the study carried out.

1.7 Definition of Terms

Data Mining:

A technique for searching large-scale database for patterns.


A distribution into groups


To estimate how something will be in future.


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 …

Complete Material Chapters of Design and Implementation of an Information System for Data Mining on Employees

Order Complete Material with Preferred Acquisition Method

Design and Implementation of an Information System for Data Mining on Employees Complete Material can be acquired by placing an order for the material which will be sent in Microsoft Word (MS-Word) Format and the cost of acquisition is ₦3,000.

For Mobile Money (MoMo) and Researchers Outside Nigeria, Kindly Request Complete Material via WhatsApp.


Request Complete Material

Complete Material Chapters of Design and Implementation of an Information System for Data Mining on EmployeesClick here to request the Complete Material via WhatsApp including;
  • Preliminary Pages, Chapter 1-5, References and Appendix.


Account Details - For USSD / POS Transfer


Account Name: Sparklyn Services
Account No: 1222599051
Account Type: Current
Bank Name: Zenith Bank PLC

After transaction, kindly inform Us with the contact details above.


Sparklyn Services, duly registered with the Corporate Affairs Commission (CAC) under the Federal Law with RC: 2994849 operates on Secure Sockets Layer (SSL), therefore all transactions on this site is secured and safe!

Order Complete Material with Card
Full Name
Phone Number
Email Address
Currency Type
Research Topic

By ordering complete material, it means that you've accepted or agreed to our terms of use.

Sparklyn Services Paystack Payment System
Secured by Paystack

Disclaimer for Computer Science (CS) Research Material

The displayed research work titled "Design and Implementation of an Information System for Data Mining on Employees" is stated as a research guideline towards accomplishing your assigned project / seminar research work. All the research materials on this website are ONLY for research purposes and should be used as a guideline in developing your research work. For no reason should you copy word for word as Sparklyn Services (sparklyn.com.ng) will not be liable for any who copied the material.
By ordering the complete research guideline, it signifies that you've accepted our terms of service.

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 "Design and implementation of an information system for data mining on employees" 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)

Summary Headlines for Design and Implementation of an Information System for Data Mining on Employees

    NEED HELP? CALL US 24/7:
    +234 803 051 1988