Disadvantages of data mining

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Author: Admin | 2025-04-28

Large amounts of data to extract patterns, trends, and associations, which may be used to make predictions about future events and other things. Data mining is an important part of a company’s business intelligence. It can help you find new sources of revenue and opportunities for cost savings.Question 3. What are the advantages and disadvantages of Data Mining?Answer: Data mining is a process that explores an organisation’s data to find patterns and trends in order to make decisions. Data mining can be done with both structured data and unstructured data. The advantages of data mining include making better decisions, having a competitive advantage, and finding major problems. The disadvantages of data mining are privacy concerns, the difficulty of data cleaning, and inaccuracies in the findings.Question 4. What are the disadvantages of Data Mining?Answer: The disadvantages are that the data mining process can be very time-consuming, expensive, and labour-intensive. Large amounts of data may need to be collected and searched, which could take weeks or months.

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