DM Video Links

UNIT-1

Euclidean and Manhattan distance

Supremum distance

Correlation and covariance

Mahalanobis distance

UNIT-2

Chapter-5 Support and Confidence measures

Chapter-6 apriori algorithm with an example

Chapter-7 FP Growth algorithms

Chapter-8 Association rule mining with Apriori algorithm

Chapter-9 Association rule mining with FP Growth method

Maximal Frequent Itemset and Closed Frequent itemset

UNIT-3
Decision tree splitting criterion and Entropy calculation

Gini index

Naive Bayes Classifier

Bayesian Belief Networks-1
Bayesian Belief Networks-2

K-Nearest Neighbour Classification-1
K-Nearest Neighbour Classification-2

unit-III docx


UNIT-4

UNIT-5