Schedule

Note that the schedule may be subject to change. Please check the course website frequently for the latest schedule.

For your reference: How to read & review a paper? How to give a talk?

Week	Date	Topics	References	Notes
1	Th 09/05	Introduction	lecture	notes-0, notes-1, passjoin paper
2	Th 09/12	Similarity Join 1	lecture	notes-2, dossjoin paper, dossjoin code
3	Th 09/19	Similarity Join 2	lecture	notes-3, prefix filter paper, partition paper, ed prefix paper, pivotal paper
4	Th 09/26	Similarity Search 1	lecture	slides/notes4.pdf R-tree paper
5	Th 10/03	Similarity Search 2	lecture	slides/notes5.pdf, PQ scan paper, PQ fast scan paper
6	Th 10/10	Data Transformation	paper review	transformation 1, transformation 2, transformation 3
7	Th 10/17	Middle Term Exam	exam
8	Th 10/24	Data Discovery	paper review	discovery 1, discovery 2, discovery 3
9	Th 10/31	Data Wrangling	paper review	wrangling 1, wrangling 2, wrangling 3
10	Th 11/07	Data Cleaning	paper review	cleaning 1, cleaning 2, cleaning 3
11	Th 11/14	Data Integration - Entity Resolution	paper review	matching 1, matching 2, matching 3
12	Th 11/21	Data Integration - Entity Consolidation	paper review	fusion 1, fusion 2, fusion 3
13	Th 11/26	Data Visualization	paper review	visualization 1, visualization 2, visualization 3
14	Th 12/05	Summary of this class

All the students form groups of three. Each group is in charge of presenting the three papers in a week. The 3 group members can read and discuss the 3 papers together.