DATABASE FUNDAMENTALS
DATA WAREHOUSING AND DATA MINING
Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Clustering
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Regression
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Association
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Classification
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Detailed explanation-1: -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-2: -Types of Data mining include: Clustering. Prediction. Classification.
Detailed explanation-3: -Data mining is the process of analyzing dense volumes of data to find patterns, discover trends, and gain insight into how that data can be used. Data miners can then use those findings to make decisions or predict an outcome.
Detailed explanation-4: -What Does Predictive Data Mining Mean? Predictive data mining is data mining that is done for the purpose of using business intelligence or other data to forecast or predict trends. This type of data mining can help business leaders make better decisions and can add value to the efforts of the analytics team.