Current Members

team_member

Jae-Gil Lee

Professor
Homepage
team_member

Jungeun Kim

Ph.D. Student
Homepage
team_member

Minsoo Choy

Ph.D. Student
Homepage
team_member

Daehoon Kim

Ph.D. Student
Homepage
team_member

Minseo Kang

Ph.D. Student
Homepage
team_member

Jinwoo Lee

Ph.D. Student
Homepage
team_member

Sundong Kim

Ph.D. Student
Homepage
team_member

Hwanjun Song

Ph.D. Student
Homepage
team_member

Susik Yoon

Ph.D. Student
Homepage
team_member

Sejin Kim

Ph.D. Student
Homepage
team_member

Soojeong Yu

Master Student
Homepage
team_member

Gwangseon Jang

Master Student
Homepage
team_member

Sohyun Kim

Master Student
Homepage
team_member

Minseok Kim

Master Student
Homepage

Alumni

Research

  • Expertise Finding for QA Services - 2014
  • Interconnected and Mobile World - 2014
  • Traffic Data Classification - 2011
  • Trajectory Data Mining - 2009
  • Data Warehousing System - 2014
  • Data Mining Lab Introduction - 2014
  • This presentation explains our recent research on expertise finding for question answering (QA) services. The first part discusses a methodology of estimating the expertise of “recently-joined” users in QA services. The second part discusses the design and implementation of a social search engine specialized for “location-based” questions. These studies were published at AAAI ICWSM-13 (best paper award) and AAAI ICWSM-14 respectively. This presentation was intended for a non-expert audience.

  • This presentation describes our research directions toward data mining for the interconnected and mobile-centric world. We discuss how interesting topics can be derived by combining devices and/or data sources in this whole new world. Then, three on-going integration studies are briefly introduced: social networks + social networks, mobile devices + social networks, and mobile devices + internet-of-things.

  • This presentation explains our recent research on traffic data classification. At the beginning, there is a brief introduction to traffic data; then, our classification algorithm, which was published in a top journal IEEE TKDE, is explained in detail.

  • This presentation summarizes our studies on trajectory data mining—more specifically, trajectory clustering, trajectory outlier detection, and trajectory classification— which were conducted when Prof. Lee was at University of Illinois at Urbana-Champaign (2006~2008). The three papers were published at top conferences, ACM SIGMOD 2007, IEEE ICDE 2008, PVLDB 2008, respectively. This trilogy opened a new paradigm on trajectory data mining, and has been cited by 1200 times (as of April 2016).

  • This presentation explains part of the Blink project in which Prof. Lee played a key role in the implementation of database joins. The Blink project’s ambitious goals are to answer all Business Intelligence (BI) queries in mere seconds, regardless of the database size, with an extremely low total cost of ownership. The Blink technology is now being incorporated into IBM DB2.

  • This presentation contains a brief introduction to our lab. It explains our research philosophy, research interests, on-going projects, lectures, and so on. Most of the contents are also available on this homepage. This presentation was intended for our freshmen at the orientation in Spring 2016.

Publication

On-Going Projects


Previous Projects

Lectures

News

Photos


Enjoy the photos taken at various lab events!