ENCOURAGING AND IMPROVE THE UTILISATION OF DATA MINING IN THE WESTERN REGION MUNICIPALITY
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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.
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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.
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?