Research Topics On Web Mining Video
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Title Page. Approval Page……………………………………………………. Table of Contents………………………………………… vi. Data mining is the extraction of hidden predictive information from Weeb database which helps in predicting future trend and behavior thereby helping management make knowledge driven decisions. The data mining tool designed is to aid in quick access and retrieval of patients information to avoid time wasted in retrieving of such data from hospitals data warehouse.
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The data mining tool was also designed to discover hidden pattern that helps in decision making by management. Structured System Analysis and Design Methodology were used in the analysis of the existing system which also provided a guide for Research Topics On Web Mining design of the proposed system. Data mining, is the extraction of hidden predictive information from large database, is a powerful new technology with great potential to help companies focus on the most important information in their data warehouses.
Data mining tools predict future trends and behaviors, allowing businesses to make proactive, knowledge driven decisions.
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The automated, prospective analysis offered by data mining move beyond the analyses of past events provided by retrospective tools typical of decision support systems. Data mining tools can answer business questions that traditionally were too time consuming to resolve. The scour databases for hidden patterns, finding predictive information those experts may miss because it lies outside their expectations. Most companies already collect and refine massive quantities of data.
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Data mining techniques can be implemented rapidly on existing software and hardware platforms to enhance the value of existing information resources, and can be integrated with new products and system as they are brought on-line. Data mining techniques are result https://www.ilfiordicappero.com/custom/write-about-rakhi/the-effects-of-parental-involvement-on-student.php a long process research and product development. Data mining takes this evolutionary process beyond retrospective data access and navigation to prospective and proactive information delivery.
Data mining is ready for application in the business community because it is supported by three technologies that are sufficiently mature: massive data collection, powerful multiprocessor computers and data mining algorithms. In this evolution from business data to business information, each new step has built upon the previous one.
For example, dynamic data access is critical for drill-through in data navigation applications, and the ability to store large database is critical to data mining.

The file management is obsolete in developed countries like the United States where and in developing countries like Nigeria the file system is still processed manually in most medical centers; this is as a result Research Topics On Web Mining Mijing standard of technology. It was clear that computer is everywhere in Nigeria. These computers are for money making and as a result of this, our hospitals lack computerized services, but with the help of data mining we can also computerize our hospitals. The problem of data mining has become very crucial in areas of privacy of data.
Specifically regarding the source of the data analyzed for certain purpose.

My research in Owerri General Hospital here reveals that patients visit the hospital and they waste a lot of time. Two patients might be given the same number and there could be wrong spelling and loss of important information. There is also lack of Mning for storing all the files and also due to carelessness on the part of staff. Furthermore, volume of work for the hospital staff is much; this is because the ratio of patients to staff of Owerri General Hospital is so much.
So staffs are over worked and they hurry through their duty, hence they carry out such duties lousily which makes the Tpoics unfriendly to their patients. Research Topics On Web Mining of this research work are to:. Design Research Topics On Web Mining good data mining tool that will help in easy retrieval of patient information thereby reducing time wastage and improve service delivery.
The data mining tool will be able to discover hidden pattern in large volume of data which will help in good decision making. This research work will be carried out on data mining for medical record system of Owerri General Hospital.]
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