What is one of the key considerations when setting up goals for data mining?1 pointThe number of attributes needed to explain phenomenaThe number of data visualization techniques to be usedThe frequency of data collectionThe level of accuracy expected from the results
Question
What is one of the key considerations when setting up goals for data mining?1 pointThe number of attributes needed to explain phenomenaThe number of data visualization techniques to be usedThe frequency of data collectionThe level of accuracy expected from the results
Solution
One of the key considerations when setting up goals for data mining is the level of accuracy expected from the results. This is important because it can influence the choice of data mining techniques and algorithms to be used. High accuracy expectations may require more complex and computationally intensive methods. It also impacts how the data will be preprocessed and cleaned. Inaccurate or noisy data can significantly decrease the performance of data mining algorithms. Therefore, understanding the level of accuracy required can help in designing an effective and efficient data mining process.
Similar Questions
What is the primary goal of data mining?Select one:a.To extract and compile data from multiple sourcesb.To find hidden patterns and relationships in datac.To organize and structure datad.To create charts and graphs to visualize data
What is a typical goal of data mining applications?
A goal of data mining includes which of the following?. To explain some observed event or condition To confirm that data exists To analyze data for expected relationships To create a new data warehouse
Scope of data mining
What is a typical goal of data mining applications? ans. Accelerating data retrieval speed Increasing data redundancy Reducing data storage costs Improving decision-making processes
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