• Design And Implementation Of A Distributed Recruitment Management System

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    • 2.6.3.6    Other Decision Support Disciplines
      In addition to the above major disciplines there are a number of others that can be considered a part of DS in its broadest sense. There are numerous tools and techniques that help people
      in organizing data and thoughts, starting with “pencil and paper”, and including techniques such as brainstorming, Delphi, concept mapping and mind mapping. Another group of interesting DS-related techniques involves data storage, search and retrieval, such as the “query by example” technique (QBE). Especially in relation to DSS and data warehouses, there is a great emphasis on representation and visualization tools, such as report generators and charting tools. Visualization is also very important with data mining and expert modelling. Also, there are new developments that continuously provide new tools and techniques for DS: communication technology, multimedia, mediation systems, data mining, knowledge discovery, knowledge management systems, and many others.
      2.7    Decision Support Systems (DSS)
      Decision support systems are interactive, computer-based systems that aid users in judgment and choice activities. They provide data storage and retrieval but enhance the traditional information access and retrieval functions with support for model building and model-based reasoning. They support framing, modelling, and problem solving. Typical application areas of DSSs are recruitment in business, health care, the military, and any area in which management will encounter complex decision situations. Decision support systems are typically used for strategic and tactical decisions faced by upper-level management— decisions with a reasonably low frequency and high potential consequences in which the time taken for thinking through and modelling the problem pays off generously in the long run. It uses an interactive, flexible, adaptable computer-based information system CBIS especially developed for supporting the solution to a specific non-structured management problem. It uses data, provides an easy user interface, and can incorporate the decision maker’s own insights, includes models and is developed through an interactive and iterative process. A typical DSS supports all the phases of decision making and may include a knowledge component.  It can be used by a single user on a PC or can be Web based for use by many
      people at several locations. There are three fundamental components of Decision Support Systems (Sage, 1999) namely:
      =>    Data Management System
      =>    Model Based management System
      =>    Dialog Generation and Management System
      =>    DSS User
      While a variety of Decision Support Systems exists, the above three components can be found in many DSS architectures and play a prominent role in their structure. Interaction among them is illustrated below. In Fig. 2.7.1 the user interacts with the DSS through the Dialog Generation Management System. This communicates with the Database Management System and Model base Management system, which screen the user and the user interface from the physical details of the model base and database implementation.

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    • ABSRACT - [ Total Page(s): 1 ]ABSTRACTThe recruitment process has always been critical to the success or failure of organizations. Organizations constantly seek better methods of recruiting staff that will require minimal effort to seamlessly fit in with the organizations business processes and thus provide recruitment agencies with the means with which to determine which universities provide the best graduates in a particular field for recruitment.This project work utilized a V-model software methodology, in the ver ... Continue reading---

         

      APPENDIX A - [ Total Page(s): 2 ]APPENDIXAPRIORI ALGORITHM CODE ... Continue reading---

         

      LIST OF TABLES - [ Total Page(s): 1 ]LIST OF TABLESHuman Resource Task and Associated Data mining TechniquesDescription of the Use Cases in R.M.SDescription of the Elements of the Level 0 Dataflow DiagramDescription of the elements of the Level 1 Dataflow DiagramHiring Company TableData Dictionary for Hiring Company TableCandidate TableData Dictionary for Candidate TableExamination TableData Dictionary for Examination TableResult TableData Dictionary for Result TableQuestions TableData Dictionary for Questions TableDescri ... Continue reading---

         

      LIST OF FIGURES - [ Total Page(s): 1 ]LIST OF FIGURESFigure 2.1:    Overview of the Steps that compose the Knowledge Discovery Process   Figure 2.2:    Architecture of a Typical Data Mining System    Figure 2.3:    Data mining and Talent Management    Figure 2.4:    Role of Decision Support in Decision Making    Figure 2.5:    Architecture of a Typical Decision Support System    Figure 2.6:    Client Server Architecture   Figure 2.7:    3-Tier Architecture   Figure 2.8:    Distributed Object ... Continue reading---

         

      TABLE OF CONTENTS - [ Total Page(s): 2 ]TABLE OF CONTENTSCertification    Acknowledgement    Abstract    List of Tables    List of Figures    CHAPTER ONE    INTRODUCTION   1.1    Background of Study   1.2    Problem Statement    1.3    Aim and Objectives of the Study    1.4    Methodology    1.5    Scope and Limitation of Study    1.6    Justification    CHAPTER 2    LITERATURE REVIEW     2.1    Preamble    2.2    Theoretical Background of Recruitment    ... Continue reading---

         

      CHAPTER ONE - [ Total Page(s): 2 ]1.3    Aim and Objectives of the StudyThe aim of the project is to provide organizations and educational parastatals with the means to determine which Higher Institution provide the best graduates in a particular field for recruitment.Below are the outlined objectives of the project:1.    To provide a platform for capturing profiles of applicants.2.    To create an online recruitment test based system based on organizational requirements.3.    Provide applicants with results ... Continue reading---

         

      CHAPTER THREE - [ Total Page(s): 19 ]The form in figure 3.15 can be accessed from the dashboard it is used by the company to create and schedule an exam to be written by candidates for an exam it also includes duration of the exam to ensure that the R.M.S knows how long the exam is to hold.The upload questions form in figure 3.16 is used by the company to create the questions to be used to assess students these questions can be created manually with the questions entered into the form one after the other with the save butto ... Continue reading---

         

      CHAPTER FOUR - [ Total Page(s): 16 ]The View/Update Registered Candidates in Fig 4.8 displays all candidates registered by a company and the exams to be written. Candidate’s information can also be updated by clicking on the update icon (yellow icon) on the last row of the table. So also candidate’s information can be deleted by clicking on the deleted icon which is above the update iconThe candidate dashboard displayed in fig 4.9 shows the different operations that can be performed by a candidate there are basic ... Continue reading---

         

      CHAPTER FIVE - [ Total Page(s): 1 ]CHAPTER FIVESUMMARY CONCLUSION AND RECOMMENDATION5.1    SummaryRecruitment needs of an organization are specific to that particular organization no other entity can understand the recruitment need of a particular organization better than the organization itself. In order to provide a system that enables organizations take charge of their recruitment needs by eliminating the need for recruitment agencies this project provides a platform with which such organizations can administer recruitm ... Continue reading---

         

      REFRENCES - [ Total Page(s): 1 ]REFERENCESâ„–naka , I. , and H. Takeuchi . (1995) . The knowledge-creating company: How Japanese companies create the dynamics of innovation. New York : Oxford University Press .Abell, A., & Oxbrow, N. (2001). Competing with knowledge: The information professional in the knowledge management age. London: Library Association Publishing.Adebayo, Ejiofor, & Mbachu. (2001, â„–vember 23). The American Productivity and Quality Centre. Retrieved August 23, 2015, from APQC Web site: http://www ... Continue reading---