Learn Data Mining : Video Tutorials

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Table of Contents:-

1) The KDD Process

2) Architecture Of Data Mining System

3) Issues in Data Mining

4) Forms Of Data Preprocessing

5) Measuring Central Tendency

7) Measuring Data Dispersion

8) Data Summarization Techniques

9) Measuring Data Dispersion

10) Data Cleaning Process

11) Smoothing by Binning

12) Data Integration Process

13) Data Transformation Process

14) Normalization Techniques

15) Data Cube Aggregation

16) Attribute Subset Selection

17) Dimensionality Reduction

18) Numerosity Reduction

19) Data Discretization

20) Concept Hierarchy Generation

21) Apriori Algorithm

22) BIRCH

23) Kmeans Algorithm

24) DBSCAN

25) Single Linkage Clustering

26) OPTICS

27) Decision Trees

28) Naive Bayes Classification

29) Introduction to BI

30) BI Architecture

31) BI System Development

32) BI Decisions

33) Decision Support System

34) DSS Development

35) Bagging (Bootstrap Aggregation)

36) Boosting (Adaboost)

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