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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Classification
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Association rules
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Prediction
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Anomaly detection
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Detailed explanation-1: -It includes various tasks such as classification, clustering, discrimination, characterization, association, and evolution analysis.
Detailed explanation-2: -The various processes in data mining include data cleaning, data integration, data selection, data exploration, pattern evaluation, and knowledge presentation.
Detailed explanation-3: -The Process Is More Important Than the Tool STATISTICA Data Miner divides the modeling screen into four general phases of data mining: (1) data acquisition; (2) data cleaning, preparation, and transformation; (3) data analysis, modeling, classification, and forecasting; and (4) reports.
Detailed explanation-4: -Predictive Mining tasks infer from current and past data to make predictions. Predictive Data Mining tasks create a model from the available data set that can be used to predict unknown or future values in a different data set of interest.