Lecture Notes
Study Glance provides several Lecture Notes on various topics of different
Study Glance provides several Lecture Notes on various topics of different
Clustering: Definition, Clustering Methods, K-Means Clustering Algorithm, K-Medoid Algorithm, Hierarchical Method, DBSCAN.
Association Rule Mining, Algorithms to find frequent item sets: Apriori Algorithm & FP-Growth Algorithm, Example problems related to Apriori Algorithm & FP-Growth Algorithm.
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Introduction, What is Data Mining, KDD, Challenges, Data Mining Tasks, Data Preprocessing, Data Cleaning, Missing Data, Dimensionality Reduction, Feature Subset Selection, Discritization & Binaryzation, Data Transformation, Measures of Similarity and Dissimilarity-Basics.
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Lecture Notes Study Glance provides several Lecture Notes on various topics of different ☞ Data Mining Data Mining Unit-1 Lecture Notes ...