Systems for Interactive Data Analysis

This is the course website for CS630, “Systems for Interactive Data Analysis”. Note: on the university infrastructure, the course title says “Advanced Topics in Programming Languages”, but that’s not what we’ll be working on.

In this course, we will do three things: we will read research, we will discuss research, and we will do research. A successful student in this course will have done all three of them.

Syllabus

The course syllabus is available on this website.

Course outline

• Week 1, Introduction to course, syllabus, mechanics
  • Munzner’s process and pitfalls paper;
  • general academic advice
• Weeks 2-3, background
  • Classic papers, fundamental ideas. MapReduce, Dremel, data cubes, visualization connections
  • systems for machine learning and interactive analysis
• Week 4: students decide on research projects
• Weeks 4-n, research paper presentations, students work on research projects
• Week n-1, student project presentations

Lectures

The list of papers is available as well, together with additional readings for interested students.

• Sep. 2nd: Systems for data analysis.
• Sep. 9th: Data Cubes, etc.
• Sep. 23rd: Streaming and sample-based systems.

Presentations

Paper	Presenter	Date
Data Cubes	Nathan
Implementing Data Cubes Efficiently	Sabrina
Dwarf	Aarthy
Nanocubes	Shravan
immens	Wei
Online Aggregation
BlinkDB
Trust me
Sample-Oriented Visualizations

Links

• Data Systems for Interactive Analysis is a workshop which I’m helping organize, and that will happen during IEEE VIS 2015. The goal of the workshop is to foster research exactly in the area we will be discussing during the seminar.
• IDEA, Interactive Data Exploration and Analytics is a similar workshop held at KDD for a few years now.
• Human-in-the-loop Data Management CS598, a similar course at UIUC.

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