Lecture Notes Index

 

Lecture Notes

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Study Glance provides several Lecture Notes on various topics of different

☞ Data Mining

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Data Mining Unit-1 Lecture Notes

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Data Mining Unit-2 Lecture Notes

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Data Mining Unit-4 Lecture Notes

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Data Mining Unit-4 Lecture Notes

 

Lecture Notes

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 Data Mining Unit-4 Lecture Notes  -  [ Data Mining ]

Topics Covered :

Clustering: Definition, Clustering Methods, K-Means Clustering Algorithm, K-Medoid Algorithm, Hierarchical Method, DBSCAN.

Data Mining Unit-2 Lecture Notes

 

 Data Mining Unit-2 Lecture Notes  -  [ Data Mining ]

Topics Covered :

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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Data Mining Unit-1 Lecture Notes

 

Lecture Notes

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 Data Mining Unit-1 Lecture Notes  -  [ Data Mining ]

Topics Covered :

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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