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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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Last updated on Apr 4, 2020
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Uploaded by
Kerry Warrington
Requires Android
Android 4.1+
Category
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Learn Data Mining : Video Tutorials
1.0 by SikApps Developers
Jun 17, 2020