CS 703 Data Analytics Seminar

The Data Analytics Seminar takes place every semester and covers selected (recent/hot) topics in areas related to data analytics, such as large-scale data management, data mining & machine learning, NLP, or text analytics.

Organization

Goals

In this seminar, you will
  • Read, understand, and explore scientific literature
  • Summarize a current research topic in a concise report
  • Give a presentation about your topic
  • Moderate a scientific discussion about a topic of one of your fellow students
  • Provide feedback to a report and a presentation of a fellow student

Schedule

  • Select your preferred topics and register by Feb 10 (see below)
  • Attend the kickoff meeting in second week of the semester
  • You will be assigned a tutor, who provides guidance and one-to-one meetings
  • Work individually throughout the semester: explore literature, write a report, peer-review, create a presentation
  • Give your presentation and moderate a presentation of a fellow student in a block seminar at the end of the semester

Registration

Explore the list of topics below and select at least 3 topics of your preference. Send a ranked list of your selected topics via email to Kaustubh Beedkar until Feb 13, 2015. We will confirm your registration immediately. The actual topic assignment takes place at the kickoff meeting; our goal is, of course, to assign to you you one of your preferred topics.

Topics

This semester's seminar is structured into two tracks: a systems track and a data mining track. The systems track covers recent systems and architectural approaches for large-scale data analytics in various contexts. The data mining track focuses on novel approaches to specific data mining tasks and applications. The papers and articles listed below serve as an entry point to a topic; you are expected to explore related relevant literature on your own.

Systems track:

Data mining track: