Course

Unit 1

Data Mining : Steps in Data mining process, Data Mining Functionalities, Architecture of a Typical Data Mining Systems, Association rule mining, Various Kinds of Association Rules, Market Basket Analysis, Apriori Algorithm,, FP growth, ECLAT (12 Hrs)

Unit 2

Classification Data mining :Classification and Prediction Basic concepts Bayesian classification, Rule based classification, Ensemble learning, pattern classification, neural networks -metric learning (12 Hrs)

Unit 3

Clustering Data miningTypes of Data in Cluster AnalysisCategorization of Major Clustering Methods Partitioning Methods, Hierarchical Methods DensityBased Methods, GridBased Methods, Modelling based, clustering high dimensional data. (12 Hrs)

Unit 4

Link Analysis: Page Rank, Efficient Computation of Page Rank, Topic Sensitive Page Rank, Link Spam, Hubs and Authorities. Graph mining – Graph representation learning, node embeddings, Graph Neural network, Knowledge graph mining Introduction to spatial mining Construction of spatial data cubes , spatial classification and clustering, Temporal Data Mining , Temporal Association Rule (12 Hrs)

Unit 5

Text Data mining: TF-IDF, N-grams,Word embeddings, Transformer models, topic modelling, semantic mining , sentiment mining. Introduction to social network and web mining. (12 Hrs)

Text Books / References

Text Books

1. ByRichard J. Roiger “Data Mining A Tutorial-Based Primer”, Second Edition, 2017 Hall/CRC.
2. Jiawei Han, Micheline Kamber and Jian Pei“Data Mining Concepts and Techniques”, Third Edition, Elsevier, 2011.
3. Trevor Hastie, Robert Tibshirani, Jerome Friedman, The Elements of Statistical Learning-Data Mining, Inference, and Prediction, Second Edition, Springer Verlag, 2009
4. William L. Hamilton , “Graph Representation Learning“,  Synthesis Lectures on Artificial Intelligence and Machine Learning,Springer,2020

References

1. Dunham,Sridhar , Data Mining a: Introductory and Advanced topics, Pearson Education , India , 2002
2. Ponniah, Paulraj. Data warehousing fundamentals: a comprehensive guide for IT professionals. John Wiley & Sons, 2004.
3. G. K. Gupta “Introduction to Data Mining with Case Studies”, Easter Economy Edition, Prentice Hall of India, 2006.

CO-PO Mapping