Welcome to the Database & Data Mining Lab (Big Data Lab) at the POSTECH. We have been focusing on big data, databases, mining, and AI related research. We are trying to publish solid papers in prestigious top-tier database (SIGMOD, VLDB, ICDE) and data mining/machine learning conferences (SIGKDD, ICML, NIPS). 

Our goal is to build scalable, intelligent Big data systems that effectivly and efficiently deal with Big data. Most of Big data is unstructured data, and thus, it is difficult to handle. We are building a system for converting unstructured data into semi-structured data in a graph form so that it can be easily handled in our parallel graph engine. We are also building an intelligent system to interact with humans.

Current research topics include:

FAQ (including appointments, internships, and Ph.D. application)

Our Research Collaborators/Sponsors

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  • Welcome new interns We have the following motivated and smart students as interns for this semester and summer vacation.  - Jaejin Kim, Jinho Ko, Deokhyung Kang, Jaehyun HaThey have been working on graph ...
    Posted Apr 27, 2021, 9:11 PM by Wook-Shin Han
  • Seongyun will join Facebook's headquarters (in Menlo Park) as a research scientist. Seongyun Ko has accepted an offer from Facebook. He is the first Ph.D. alumnus since Prof. Han moved to POSTECH.For the last six years, he has published 6 ...
    Posted Apr 27, 2021, 9:06 PM by Wook-Shin Han
  • One paper about continuous subgraph matching is accepted to VLDB 2021. An enhanced version of TurboFlux has been accepted to VLDB 2021.Congratulations to related members.Min, S., Park, S., Park, K., Giammarresi, D., Italiano, G., and Han, W., "Symmetric Continuous ...
    Posted Apr 11, 2021, 7:18 AM by Wook-Shin Han
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--May 20, 2010