DATABASE FUNDAMENTALS
DATA WAREHOUSING AND DATA MINING
Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Classification
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Clustering
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Prediction
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Association rules
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Detailed explanation-1: -Clustering is used to identify data objects that are similar to one another. The similarity can be decided based on a number of factors like purchase behavior, responsiveness to certain actions, geographical locations and so on.
Detailed explanation-2: -It includes various tasks such as classification, clustering, discrimination, characterization, association, and evolution analysis.
Detailed explanation-3: -Clustering: this data mining task is targeted to identify a finite set of categories or groupings (clusters) to describe the data.
Detailed explanation-4: -Association Rule Discovery (Unsupervised) Produce dependency rules which will predict the occurrence of an item based on occurrences of other items.