Big Data
Code
400048
Academic unit
NOVA Information Management School
Credits
7.5
Teacher in charge
Teaching language
Portuguese. If there are Erasmus students, classes will be taught in English
Objectives
Presenting state of the art techniques for mining massive data sets.
Prerequisites
No
Subject matter
Introduction to Data Mining and Big Data
Map-Reduce
Finding Similar Items
Mining Data Streams
Link Analysis
Frequent Itemsets
Clustering
Advertising on the Web
Recommendation Systems
Dimensionality Reduction
Large-Scale Machine Learning
Bibliography
Mining of Massive Datasets. Jure Leskovec, Anand Rajaraman, Jeff Ullman
Teaching method
Theoretical classes where the topics of the course will be introduced. Exercises to show practical applications of the techniques presented in the course.
Evaluation method
Two minitest and a final exam for the first epoch exam. Each minitest contributes for the 30% of the final grade.
In the second epoch final exam that contributes for the 100% of the final grade.