DATABASE FUNDAMENTALS
DATA WAREHOUSING AND DATA MINING
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Actual discovery phase of knowledge of KDD
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Stage of selecting right data in KDD
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Transformation phase of data in KDD
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All the above
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Detailed explanation-1: -Explanation: in the data mining process, KDD stands for Knowledge discovery database. It discovers the data and emphasizes the high level applications in the data mining process.
Detailed explanation-2: -Abstract: Knowledge Discovery in Databases (KDD) is the process of automatic discovery of previously unknown patterns, rules, and other regular contents implicitly present in large volumes of data. Data Mining (DM) denotes discovery of patterns in a data set previously prepared in a specific way.
Detailed explanation-3: -Data mining and knowledge discovery is the principle of analyzing large amounts of data and picking out relevantinformation leading to the knowledge discovery process for extracting meaningful patterns, rules and models from raw data making discovered patternsunderstandable.
Detailed explanation-4: -Data Mining is the root of the KDD procedure, including the inferring of algorithms that investigate the data, develop the model, and find previously unknown patterns. The model is used for extracting the knowledge from the data, analyze the data, and predict the data.