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The Carolina Big-Data Group

Spring-2017 reading group in database systems

READING GROUP IN Data-to-Knowledge
Spring 2017, CSC 801-002: meets on Wednesdays between 10:15am-11:30am in room 2216 in EB2.

Course goals: Present and discuss important state-of-the-art results of research in the data-to-knowledge space.

Instructor: Rada Chirkova
Contact: 2276 EB-II
919-513-3506
Office Hours: please see here.

Rules for presenting for the group:

  • The main task of the presenter is to highlight the points and achievements in the paper that are of interest to researchers in the data-to-knowledge space.
  • The main task of the opponent is to put the paper into context. The opponent is also to highlight the shortcomings (if any) of the paper, in the context of research in the data-to-knowledge space.

The meeting dates and topics are as follows:

1. JANUARY 11, 2017

The instructor presented the chapter “Data quality and integration” (on the course reserves) from the book Modern Database Management (11th edition), by Jeffrey A. Hoffer, V. Ramesh, and Heikki Topi.

2. JANUARY 18, 2017

Ran presented the paper “DeepDive: Declarative Knowledge Base Construction,” by Christopher De Sa, Alexander Ratner, Christopher Ré, Jaeho Shin, Feiran Wang, Sen Wu, and Ce Zhang. SIGMOD Record 45(1): 60-67 (2016). Yuxu was Ran’s opponent for this presentation. Thank you Ran and Yuxu!

3. JANUARY 25, 2017

Jianfeng presented the paper “Data Curation at Scale: The Data Tamer System,” by Michael Stonebraker, Daniel Bruckner, Ihab F. Ilyas, George Beskales, Mitch Cherniack, Stanley B. Zdonik, Alexander Pagan, and Shan Xu. In Proceedings of the CIDR conference, 2013. Paul was Jianfeng’s opponent for this presentation. Thank you Jianfeng and Paul!

4. FEBRUARY 1, 2017

Paul presented the paper “Efficient Estimation of Word Representations in Vector Space,” by Tomas Mikolov, Kai Chen, Greg Corrado, and Jeffrey Dean. Ran was Paul’s opponent for this presentation. Thank you Paul and Ran!

5. FEBRUARY 8, 2017

Yuxu presented the paper “MCDB: a Monte Carlo approach to managing uncertain data,” by Ravi Jampani, Fei Xu, Mingxi Wu, Luis Leopoldo Perez, Christopher M. Jermaine, and Peter J. Haas. James was Yuxu’s opponent for this presentation. Thank you Yuxu and James!

6. FEBRUARY 15, 2017

Jianfeng presented the paper “Detecting sensitive data disclosure via bi-directional text correlation analysis,” by Jianjun Huang, Xiangyu Zhang, and Lin Tan. Paul was Jianfeng’s opponent for this presentation. Thank you Jianfeng and Paul!

7. FEBRUARY 22, 2017

Paul presented the paper “Visualizing and Understanding Recurrent Networks“, by Andrej Karpathy, Justin Johnson, and Li Fei-Fei. Ran was Paul’s opponent for this presentation. Thank you Paul and Ran!

8. NO MEETINGS ON MARCH 1 OR MARCH 8.

9. MARCH 15, 2017

Ran presented the paper “PipeGen: Data Pipe Generator for Hybrid Analytics,” by Brandon Haynes, Alvin Cheung, and Magdalena Balazinska. Jianfeng was Ran’s opponent for this presentation. Thank you Ran and Jianfeng!

10. MARCH 22, 2017

“Understanding a Slice of the World” – invited talk by Dr. John Slankas.

11. MARCH 29, 2017

James presented the paper “Teaching Machines to Read and Comprehend,” by Karl Moritz Hermann, Tomas Kocisky, Edward Grefenstette, Lasse Espeholt, Will Kay, Mustafa Suleyman, and Phil Blunsom. Jianfeng was James’ opponent for this presentation. Thank you James and Jianfeng!

12. APRIL 5, 2017

Paul presented the paper “Attention and Augmented Recurrent Neural Networks“, by Chris Olah and Shan Carter. Ran was Paul’s opponent for this presentation. Thank you Paul and Ran!

13. APRIL 12, 2017

Zifan presented the paper “Deep Neural Networks are Easily Fooled: High Confidence Predictions for Unrecognizable Images,” by Anh Nguyen, Jason Yosinski, and Jeff Clune. Yuxu was Zifan’s opponent for this presentation. Thank you Zifan and Yuxu!

14. APRIL 19, 2017

Ran presented the paper “Link Mining: A Survey,” by Lise Getoor and Christopher P. Diehl. Zifan was Ran’s opponent for this presentation. Thank you Ran and Zifan!

15. APRIL 26, 2017

“XGBoost: A Scalable Tree Boosting System,” by Tianqi Chen and Carlos Guestrin.

IDEAS FOR THE FUTURE: