Course

Basics of Data Mining – computational approaches – statistical limits on data mining -MapReduce – Distributed File Systems . MapReduce . Algorithms using MapReduce . Extensions to MapReduce. Mining Data Streams: The Stream Data Model – Sampling Data in a Stream – Filtering Streams. Link analysis, Frequentitemsets, Clustering, Advertising on web, Recommendation system, Mining Social-Network Graphs, Dimensionality Reduction, Large-Scale Machine Learning.

Text / References Book

1. Jure Leskovec ,AnandRajaraman, Jeffrey David Ullman, Mining of Massive Datasets, Cambridge University Press, 2014.

2. Tom White, Hadoop: The Definitive Guide: Storage and Analysis at Internet Scale O’Reilly Media; 4 edition , 2015.