Q2: What does data pre-processing mean in Data Mining and why is it important? Explain the five (5) steps in data pre-processing?
Q3: What is an outlier? Why outlier detection is important in some of the data mining applications? Give examples of such applications.
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Data preprocessing in Data mining :
Data preprocessing is a type of extracting information from huge set of data, that involves transforming raw data into an understandable format.
importance of data preprocessing :
1.Data Cleaning : missing data,ignoring tuple,clustering
2.Data transformation : normalization,attribute selection,discretization,
3.Data reduction : data cube aggregation,dimentionally reduction
five Steps in Data preproccessing :
Q2: What does data pre-processing mean in Data Mining and why is it important? Explain the...
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