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  1. 1 | #1 Introduction To Data Mining, Types Of Data DM 00:10:41
  2. 2 | #2 Data Mining Functionalities DM 00:16:14
  3. 3 | #3 Interestingness Of Patterns - What are Interesting Patterns DM 00:07:35
  4. 4 | #4 Classification Of Data Mining Systems DM 00:05:16
  5. 5 | #5 Data Mining Task Primitives DM 00:08:59
  6. 6 | #6 Integration Of Data Mining System with A Database or Data Warehouse DM 00:06:53
  7. 7 | #7 Major Issues In Data Mining DM 00:07:38
  8. 8 | #8 Data Preprocessing In Data Mining - 4 Steps DM 00:18:01
  9. 9 | #9 Frequent Patterns - Example, Market Basket Analysis DM 00:10:14
  10. 10 | #10 Mining Methods - APRIORI algorithm with Example DM 00:11:21
  11. 11 | #11 Mining Methods - FP Growth algorithm with Example DM 00:11:14
  12. 12 | #12 Mining Various Kinds Of Association Rules DM 00:08:25
  13. 13 | #13 Correlation Analysis - Pearson's Correlation Coefficient DM 00:08:34
  14. 14 | #14 Constraint Based Association Mining DM 00:07:14
  15. 15 | #15 Graph Pattern Mining in Data Mining DM 00:05:05
  16. 16 | #16 Sequential Pattern Mining ( SPM ) DM 00:07:42
  17. 17 | #17 Classification & Prediction - Example, Steps DM 00:08:06
  18. 18 | #18 Decision Tree Induction - with Example DM 00:06:44
  19. 19 | #19 Bayesian Classification - Bayes Theorem, Naive Bayes Classifier DM 00:02:57
  20. 20 | #20 Rule Based Classifier with Example DM 00:04:26
  21. 21 | #21 Lazy Learners In Data Mining - KNN Algorithm DM 00:03:37
  22. 22 | #22 Cluster Analysis - Properties, Categories Of Methods DM 00:04:45
  23. 23 | #23 Types Of Data In Cluster Analysis DM 00:10:22
  24. 24 | #24 Partitioning Clustering - K Means Algorithm DM 00:10:04
  25. 25 | #25 Hierarchical Clustering - Agglomerative & Divisive Algorithm DM 00:07:31
  26. 26 | #26 Density Based Clustering - DBSCAN Algorithm DM 00:07:14
  27. 27 | #27 Grid Based Clustering - STING Algorithm DM 00:07:20
  28. 28 | 28 Outlier Analysis, Types, Outlier Detection & Techniques DM 00:07:16
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    29-07-2024