| SIS Research Area -
Data Management & Analytics
Overview
The digital information of an enterprise can contain structured data (e.g. relational database), semi-structured data (e.g. a web site), and unstructured data (e.g. audio stream and natural text). Moreover, the data may be captured or delivered over mobile, context delivery network, or peer-to-peer platforms. The Data Management and Business Intelligence group in SIS investigates techniques for storing and retrieving those diverse data types in a secure and scalable manner. We also work on data mining and knowledge discovery mechanisms that turn the data collections into knowledge that can be exploited for business advantage .
Current Research Themes
1. Continuous Query Processing
2. Authentication of Query Results
3. Location-dependent Data Management
4. Intelligent Access of Rich/Multimedia Information
5. Domain Adaptive Text Mining
6. Social Network Mining
7. Exploratory Search
SIS Faculty
LIM Ee-Peng, Professor
PANG Hwee Hwa, Associate Professor
Nan HU, Assistant Professor
JIANG Jing, Assistant Professor
MOURATIDIS Kyriakos, Assistant Professor
SHEN Jialie, Assistant Professor
ZHENG Baihua, Assistant Professor
KAM Tin Seong, Practice Associate Professor
Research Staff and Students
CHEN Jinmiao, Post-Doctoral Fellow
DAI Hanbo, PhD Student
GAO Yunjun, Post-Doctoral Fellow
HU Meiqun, PhD Student
Cane LEUNG
Wing Ki, Research Engineer
LIN Yimin, PhD Student
NGUYEN Viet An, Research Engineer
Luke TAN Kien Weng, PhD Student
U Leong Hou, Kamiru, Visiting Research Fellow
WANG Yazhe, PhD Student
ZHANG Jilian, PhD Student
ZHANG Kuan, PhD Student
ZHU Qingbo, Research Engineer
Research Laboratory Knowledge Discovery Systems Lab
SMU-SAS Enterprise Intelligence Lab
Sample of Visitors
- Gary MARCHIONINI, School of Information and Library Science, University of North Carolina at Chapel Hill (July 2008)
- Eric NYBERG, Language Technology Institute, Carnegie Mellon University (July 2008)
- Wang-Chien LEE, Department of Computer Science and Engineering, Penn Sate University (July 2008)
- John TAIT, Information Retrieval Facility (July 2008)
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