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General Subject Area
Keywords /Topic areas listed
DATA MINING, DECISION SUPPORT SYSTEMS, UAE, WESTERN REGION MUNICIPALITY (WRM)
Project Title:
ENCOURAGING AND IMPROVE THE UTILISATION OF DATA MINING IN THE WESTERN REGION MUNICIPALITY (WRM)
Abstract/ Summary:
Data mining is a key area to be considered by any organisation dealing with an important data that may help it to prosper in its operations. The document presents a proposal aimed at improving the use of data mining in the Western Region Municipality (WRM). Data mining is evolving and better technologies and techniques are taking place continuo. For the Western Region Municipality (WRM) to serve its citizens efficiently, it has to embrace new techniques of data mining. This project investigates whether new techniques of data mining can be adapted by the Western Region Municipality (WRM).
The current database is huge and it is growing day in day out, therefore there is need to update the current data mining algorithms. With an updated technology, the Western Region Municipality (WRM) will be able to acquire the relevant knowledge that will help them make strategic decisions which will allow the WRM to succeed in their services. An improved version of data mining will be in a position to handle and analyse large enormous set of data and give the (WRM) officials hidden, unknown and useful knowledge and information.
For the (WRM) to see the vitality of this project, the proposal is presented with detailed sections as to why there is a need to replace the current technology of data mining with a new one. The first section of the proposal indicates the objectives of the project which shows the importance of this project is a must do. This section is followed by a list of key outcomes of the project. This is a list of what will be presented in the report. Benefits of the project are clearly stated as well as the reasons why the student decided to take this project. How the student and Western Region Municipality (WRM) will benefit from the project is discussed in this section showing why the researcher was interested in the project.
Quantitative and qualitative research methods to be used in this project are discussed and reasons given as to why the researcher has chosen to use them. The primary and secondary data sources intended to be used in this research are stated. A project schedule showing all the phases of the project and the activities to be undertaken is also presented.
Given the essentiality of this project, the Western Region Municipality (WRM) should support it as it will benefit them a lot. Good data mining is necessary within the (WRM) as they have huge amount of data to attend to. This means they require a sophisticated data mining algorithm to retrieve information they are interested in. The proposed data mining will help them ensure scalability and performance over the huge volumes of data contained in the (WRM) databases. Furthermore, no one would refuse a technology that is more robust than the one you are using provided its benefits outweigh its limitations. Therefore, Western Region Municipality (WRM) choice to accept the new data mining because it will help them a lot.
Objectives
The points listed below have been formed based on the aim of the study. These listed points will support the author in drawing valid conclusions to the outcome expected from this research.
• To examine and critically evaluate of relevant literature concentrating on the underling concept of data mining and issues surrounding it.
• To identify the key problems associated with implementation of data mining
• To calculate the benefits and boundaries of the data mining system.
• To analyse the drivers and barriers of adopting data mining systems in the Western Region Municipality (WRM).
• To make recommendations and present frameworks on how the process of adopting data mining activities in the state of UAE can be improved.
Project Outcomes :
From the above objectives, the results are expected to be justified. These justifications are presented in forms of deliverable/outcomes which are listed below.
• A report presenting benefits and limitations of data mining.
• A report highlighting the drivers and barriers of adopting data mining in UAE.
• A report showing how modification in the government and non-government organisations can be managed effectively when adopting data mining.
Why are you interested in the project?
This should indicate why the student is interested but also should cover the broader issues of the interest of others.
The first reason why I am interested in this project is to apply the knowledge learned in class concerning data mining in a real life situation. It will assist me in improving my investigative skills, decision making, problem solving and reflection that will include my supervisor facilitation, although I am the one to decide on which direction to take with my project. Secondly, Data mining is evolving and there is need to try new techniques (Kamber, 2011). Its evolvement is directly proportional to Moore’s law which states that computer processing power will be doubling every 18 months (Wang, 2003). Due to this fact, UAE Government should try to keep in pace with new data mining technologies. That is one of the major reasons why I am proposing an improvement of the current data mining used by the Western Region Municipality (WRM). The current technology should be replaced with the latest one to improve the services offered by Western Region Municipality (WRM).
The quantities of data to be manages are growing day in day out, therefore there is need to update the current data mining algorithms. With an updated technology, the Western Region Municipality (WRM) will be able to acquire the relevant knowledge that will help them make strategic decisions which will allow the (WRM) to succeed in their services. An improved version of data mining will be in a position to handle and analyse enormous set of data and give the (WRM) officials hidden, unknown and useful knowledge and information. The proposed data mining will ensure scalability and performance over the huge volumes of data contained in the (WRM) databases (Simoff, 2006).
What are the key questions the project attempts to answer?
This study aims to give answers to key research questions presented below:
• What are the main barriers and drivers to data mining implementation in UAE?
• What are the critical accomplishment factors of data mining implementations in UAE?
• What are the recommendations for refining current methods of adoption of
Data mining in UAE?
What research methods do you intend to use?
There are various methods and approaches which are used in carrying out researches (Gupta, 2008). This research is drawn from the fact that the current technology can be weighed up and a new technology be proposed after evaluating its limitations and benefits. Therefore, the study will involve qualitative and quantitative research methods.
Data collection
Both qualitative and quantitative data collections methods will be applied in this research. The qualitative data for this research will be collected by studying the amount of data that Western Region Municipality (WRM) stores as well as the data mining they are currently using to retrieve information from their databases. I also intend use to the interview method of qualitative data collection and also review of related literature and any other relevant material that will assist in accomplishing the research.
Studying the amount of data that Western Region Municipality (WRM) stores and the current data mining they are using to retrieve information will set the background of the research. This step will give a clear picture of what the research is intended to achieve. It will also set the direction of the research as the technology which is supposed to be replaced will be well analysed.
The interview method will be employed as a backup of what will be collected from the first step. This method will also assist in gathering first-hand information from someone who has experience of the current data mining. This will also help in understanding all the shortcomings of the technology in use. The people who will be interviewed will include those who deal directly with the Western Region Municipality (WRM) databases. Anyone who stores or retrieve information from their databases will give creditable information.
Quantitative data
The questionnaire method of data collection will be the quantitative data technique that will be used in this research. The advantage of this method is that, the researcher gets various responses on the same issue from different correspondents/participants (Denscombe, 2007). This helps the researcher to identify cuttings issue easily on the subject he is researching about. The reason why I have chosen this method of data collection is that it has succeeded in many researches and I believe it will not fail on this one (Newman, 1998). The questions which will be included in the questionnaire form will address the interest of this research and nothing outside the boundaries of this research will be asked.
The questions will be answered by the IT department of Western Region Municipality (WRM) by (slamh alhamili)
Data analysis
Data analysis assists in emphasizing useful information as well as suggesting convincing conclusions (Thomas, 2003). The quantitative data of this research will be analysed using numerical and statistical analysis. SPSS and MS-Excel programs will be used to represent the data using graphical methods such as histograms, pie charts, tables etc (Agresti, 2002). These programs will also assist in carrying out validity tests so that a concise conclusion can be drawn.
The qualitative data will be analysed through an extensive review of literature. This will help in understanding what others have done concerning areas related to the research. This will give the researcher an insight and knowledge required to make necessary decisions during data collection. The interview qualitative data will be analysed using the discourse analysis. According to Talja (2000), discourse analysis studies practices of producing knowledge and meanings in concrete contexts and institutions. Discourse analysis helps to identify reliable answers and unreliable ones. This is normally done by selecting some of the participants’ discourses that are providing satisfactory answers and ignoring participants discourse that seem to be unimportant (Newman, 1998).
What primary and/or secondary data sources do you intend to use?
From the analysis made above, the data collected and analysed can be segmented into secondary and primary. For primary data, data will be collected from interviews, questionnaires and while the secondary data will be collected from case studies, literature both academic and non-academic.
Data mining
Pieter Adriaans Dolf Zantinge,Harlow : Addison-Wesley 1996
Data mining: concepts and techniques
Jiawei Han Micheline Kamber: San Francisco, Calif; London: Morgan Kaufmann 2001.
Principles of data mining
D. J. Hand (David J.), 1950- Heikki Mannila; Padhraic Smyth: Cambridge, Mass. ; London : MIT Press 2001
Predictive data mining: a practical guide
Sholom M. Weiss Nitin Indurkhya: San Francisco, Calif. : Morgan Kaufmann 1997
Data mining: theory, methodology, techniques, and applications
Graham J Williams; Simeon J. Simoff 1962- Berlin : Springer c2006.
Data mining for business applications
Carlos Soares; Rayid Ghani; ebrary, Inc.; Ebrary Inc: Amsterdam : IOS Press 2010.
Data mining and warehousing
S. Prabhu Na Venkatecan; ebrary, Inc.; Ebrary, New Delhi : New Age International P Ltd., Publishers c2007.
Data mining with decision trees theroy and applications
Lior Rokach Oded Z Maimon; ebrary, Inc.; Ebrary Inc, Singapore : World Scientific c2008.
Please provide draft chapter headings for your report
Table Of Content
CHAPTER ONE
1.0…….INTRODUCTION AND IMPORTANCE OF DATA MINING
1.1…….Data mining evolvement
1.2…….Introduction to data mining techniques and algorithms
1.4…….Overview of Western Region Municipality (WRM) and its data mining
1.4.1…….…….Volume of data in Western Region Municipality (WRM)
1.4.2…….…….Data mining in use
1.5…….Statement of the problem
1.6…….Research questions
1.7…….Research aim and objectives
1.8…….Research limitations
1.9…….Organisation of thesis
CHAPTER TWO
LITERATURE REVIEW
2.0…….Introduction
2.1…….…….Overview
2.2…….Data mining
2.2.3…….…….Data mining evaluation
2.2.4…….…….Benefits of data mining
2.2.5…….…….Limitations of data mining
2.2.6…….…….Challenges facing current UAE data mining
2.2.7…….…….Factors affecting data mining advancement
2.3…….Data mining and database administration
2.4…….Importance of a new data mining in Western Region Municipality (WRM)
CHAPTER THREE
RESEARCH METHODS
3.0…….Introduction
3.1…….The research approach
3.2…….The research design
3.3…….Research strategy and sampling and study population
3.4…….Research method
3.4.1…….…….Data collection
3.4.1.1…….…….…….Primary data source
3.4.1.1.1…….…….…….…….The interview
3.4.1.1.2…….…….…….…….Interview design and interviewees
3.4.1.1.3…….…….…….…….The questionnaire
3.4.1.1.4…….…….…….…….Questionnaire design
3.4.1.2…….…….…….Secondary data source
3.4.1.3…….…….…….Other secondary sources of data collection
3.4.2…….…….Data analysis
3.5…….Data integration
3.6…….Ethical considerations
3.7…….Summary
CHAPTER FOUR
FINDINGS AND ANALYSIS
4.0…….Introduction
Section A
Questionnaire analysis and statistical computations
Section B
Interview discourse analysis
CHAPTER FIVE
DISCUSSION, RECOMMENDATIONS & CONCLUSION
5.0…….Introduction
5.1…….Discussions
5.2…….Recommendations
5.2.1…….…….Which is the best data mining to use in Western Region Municipality (WRM)?
5.2.2…….…….Other recommendations
5.3…….Realisation of objectives
5.4…….Research conclusion
CHAPTER SIX
PROJECT MANAGEMENT
6.0…….Introduction
6.1…….Project management
6.2…….Project planning
6.3…….Time line of the project
6.4…….Risk assessment
6.5…….Change management
6.6…….Gantt chart
6.7…….Project appraisal and conclusion
REFERENCE
APPENDIX
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