L25: Data Transformations | Smoothing, Aggregation, Generalization, Normalization(Min-Max, Z-Score)

Full Course of Data warehouse and Data Mining(DWDM): Datawarehouse and Data Mining Lecture...

In this lecture you can learn about Data Transformations – Smoothing, Aggregation, Generalization, Normalization(Min-Max, Z-Score) in Data warehouse and Data Mining(DWDM) Course. Following topics of Data warehouse and Data Mining(DWDM) Course are discussed in this lecture: Data Transformations – Smoothing, Aggregation, Generalization, Min-Max Normalization and Z-Score Normalization. This topic is very important for College University Semester Exams and Other Competitive exams like GATE, NTA NET, NIELIT, DSSSB tgt/ pgt computer science, KVS CSE, PSUs etc.

Data Transformations – Smoothing, Aggregation, Generalization, Normalization(Min-Max, Z-Score)

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