SD201: Mining of Massive Datasets, Fall 2018 - Mauro Sozio

SD201: Mining of Massive Datasets, Fall 2018

Lectures

Lecture 1a: Introduction to Data Mining and Big Data

Lecture 1b: The PageRank Algorithm

Lecture 1c: Theory behind PageRank

Lecture 2 Clustering

Lecture 4 Decision Trees

Lecture 6a Evaluation Decision Trees

Lecture 6b Rule Mining

Lecture 6c Rule Mining

Lecture 6d Introduction to MapReduce

Lecture 6e Finding Densest Subgraphs (until slide 16)

Material

Tutorial on Python

Announcements

26/09 the rooms booked for all remaining TP sessions have been specified on synapses

03/10 Solutions for the lab on PageRank and clustering have been posted

05/10 Some exercises have been posted (check the section "Material"). No more exercise will be posted.

19/10 Fixed typo on slides Lec6a (evaluation of a classifier, leave-one-out)

22/10 All the material for the lab session on 24/10 has been posted. The lab will not be evaluated

28/10 No notes/documents are allowed during the final exam. Students can bring their own calculators (only some simple calculations will be required).