After the data are appropriately processed, transformed, and stored, machine learning and non-parametric methods are a good starting point for data mining.
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Answer: - True.
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It is true that after the data are appropriately processed, transformed, and stored, the machine learning and the non-parametric methods are a good starting point for the data mining.
About Data Mining: -
- Data mining is the process of extracting and discovering the patterns in the given large data sets which involve the methods at the intersection of the machine learning language, statistics, and the database system.
- It is a subfield of the computer science and statistics.
- Its goal is to extract the information from the given set of data and then transform the information into a structural format to use further.
- The actual task of the data mining is the semi-automatic or automatic analysis of the large quantities of the given data to extract the unknown and interesting patterns like the groups of the data records and the unusual records.
To know more about the topic, go to the below links: -
https://brainly.in/question/41730576
https://brainly.in/question/41244484
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