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UNITI Reference: Data Mining Concepts and Techniques 3rd Edition, Jiawei Han, Micheline Kamber & Jian PeiElsevierIntroduction: Fundamentals of data miningWhy Data Mining? Moving toward the Information
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Data mining concepts refer to the techniques and processes used to discover patterns and extract valuable information from large sets of data. It combines statistics, machine learning, and database systems to analyze data.
Individuals or organizations that engage in data mining activities and collect, analyze, or utilize significant amounts of data may be required to file data mining concepts. This typically includes data analysts, businesses utilizing data for decision-making, and research institutions.
To fill out data mining concepts, entities should provide relevant details about the data mining processes they employ, the types of data being mined, the purposes of mining, and any compliance measures taken. It is important to follow the guidelines provided by regulatory bodies.
The purpose of data mining concepts is to ensure transparency and accountability in the practice of data mining, protect individuals' privacy, and promote ethical use of data by outlining the methods and objectives of data collection and analysis.
Required information typically includes the nature of the data mining activities, objectives, categories of data collected, methodologies used, and any relevant compliance with privacy regulations.
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