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Addis Ababa University School of Information Science Master of Science in Information ScienceApplication of Data Mining for Weather ForecastingEphrem TibebuOctober 2015Addis ABBA University School
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Gather all necessary information required for the application
02
Organize the data into a structured format suitable for data mining
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Choose the appropriate data mining techniques based on the goals of the application
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Apply the selected data mining techniques to analyze the data and extract useful insights
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Interpret the results of the data mining process and make informed decisions based on the findings

Who needs application of data mining?

01
Businesses looking to make data-driven decisions
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Researchers looking to uncover patterns and trends in large datasets
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Government agencies seeking to improve public services and policy-making through data analysis
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Data mining is used to discover patterns and trends in large datasets, which can be applied in various fields such as marketing, healthcare, finance, and research.
Any individual or organization that wishes to use data mining techniques to analyze data is required to file an application.
The application of data mining can be filled out by providing details about the purpose of the data mining project, the data sources, the techniques to be used, and any potential risks or privacy concerns.
The purpose of the application of data mining is to obtain permission to collect and analyze data using data mining techniques for a specific purpose.
The application of data mining must include details about the data sources, data collection methods, data storage practices, data analysis techniques, and data sharing plans.
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2000 2005 North_Carolina New_Jersey j48 relhumidity perceptron multilayer classifier weka dataset false minnumobj pp rainfallpercept numeric bayes hawassa preprocessing unpruned classifiers partitioning kdd k5 c0 ababa c4 predefined p100 nma predictors s1

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