Get the free BAPPLICATIONb OF DATA MINING FOR PREDICTING ADULT bb - etd aau edu

/ ADDIS ABABA UNIVERSITY SCHOOL OF GRADUATE STUDIES SCHOOL OF INFORMATION SCIENCE AND SCHOOL OF PUBLIC HEALTH APPLICATION OF DATA MINING FOR PREDICTING ADULT MORTALITY ISFAHAN HAILEMARIAM JUNE 2012

How to fill out bapplicationb of data mining

How to fill out an application of data mining:

1. Start by gathering all the necessary information required for the application. This may include personal details, educational background, previous work experience, and any relevant certifications or qualifications.
2. Read through the application form carefully and ensure that you understand all the questions and instructions. Pay attention to any specific requirements or additional documents that need to be submitted along with the application.
3. Begin filling out the application form by providing accurate and up-to-date information. Double-check the spelling and grammar to ensure a professional appearance.
4. If there is a section for a personal statement or cover letter, take the opportunity to explain why you are interested in data mining, your relevant skills and experience, and how you envision applying data mining techniques in a specific context or industry.
5. Provide any supporting documents or evidence of your qualifications, such as transcripts, certifications, or a portfolio of past data mining projects. Ensure these documents are well-organized and clearly labeled.
6. Review your completed application form and supporting documents for any errors or missing information. Make any necessary corrections or additions before submitting the application.

Who needs application of data mining?

1. Businesses: Data mining can be invaluable for businesses of all sizes and industries. By analyzing large datasets, businesses can gain insights into customer behavior, market trends, and make informed decisions to improve operations, marketing strategies, and overall business performance.
2. Researchers: Data mining is essential for researchers in various fields, such as social sciences, healthcare, finance, and environmental studies. It enables them to analyze large amounts of data, identify patterns, and draw meaningful conclusions that can contribute to advancements in their respective areas.
3. Government and public sector: Data mining plays a crucial role in the government and public sector. It helps in detecting fraud, analyzing public health data, improving public services, and optimizing resource allocation.
4. Healthcare industry: Data mining is widely used in the healthcare industry to enhance patient care, identify disease patterns, predict patient outcomes, and develop personalized treatment plans.
5. Financial institutions: Banks, insurance companies, and other financial institutions utilize data mining techniques to detect fraudulent activities, assess credit risks, and personalize their marketing strategies.

In conclusion, filling out an application for data mining requires careful attention to detail and providing accurate information. Data mining applications are needed by businesses, researchers, the government and public sector, healthcare industry, and financial institutions, among others, to gain valuable insights and drive informed decision-making.

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What is the application of data mining?

Data mining is used to extract patterns and knowledge from large datasets in order to make informed business decisions, improve marketing strategies, detect fraud, and more.

Who is required to file application of data mining?

Companies and organizations that want to leverage data mining techniques for their business operations are required to file an application for data mining.

How to fill out application of data mining?

To fill out an application for data mining, one must provide information about the purpose of mining, the datasets to be used, the techniques to be applied, and any potential risks involved.

What is the purpose of application of data mining?

The purpose of the application of data mining is to harness the power of data analytics in order to gain valuable insights, improve decision-making, and drive business success.

What information must be reported on application of data mining?

Information that must be reported on the application of data mining includes the type of data being mined, the algorithms being used, the expected outcomes, and any data privacy and security measures in place.