1. Domain-Driven Data Mining: Empowering Actionable Knowledge Delivery

(University of Technology Sydney, Australia)
Director, Data Sciences and Knowledge Discovery Lab
UTS Flagship Center for Quantum Computation & Intelligent Systems

http://www-staff.it.uts.edu.au/~lbcao/

Dr. Longbing Cao is an Associate Professor in the Faculty of Engineering and Information Technology (FEIT), at the University of Technology, Sydney (UTS), Australia. He is the Director of the Data Sciences & Knowledge Discovery Research Lab at the Centre for Quantum Computation and Intelligent Systems (QCIS) at UTS. He is also the Research Leader of the Data Mining Program at the Capital Markets Cooperative Research Centre, Australia. His research interests focus on data mining, multi-agent systems, and the integration of agents and data mining. He is a Senior Member of the IEEE Computer Society and SMC Society. He has over 100 publications, including monographs and edited books. He has led the investigation of around 20 research and industry projects in data mining and intelligent systems. His real-world experience and leadership covers domains such as telecommunications, capital markets, social security, health insurance and e-commerce. He has served as an organiser and program committee member on over 30 international conferences and workshops in data mining and multiagent systems.

2. Mining Evolution of Complex Structured Data

Director, Centre for Advanced Information Systems (CAIS)
Visiting Associate Professor, Biological Engg Div., Massachusetts Institute of Technology (MIT), USA
Singapore-MIT Alliance Fellow in CSB (Computation and Systems Biology)

http://www3.ntu.edu.sg/home/assourav/

Sourav S Bhowmick is an Associate Professor in the School of Computer Engineering, Nanyang Technological University and the Director of Centre for Advanced Information Systems (CAIS). He is currently Visiting Associate Professor at the Biological Engineering Division, Massachusetts Institute of Technology (MA, USA). He also holds the position of Singapore-MIT Alliance (SMA) Fellow in Computation and Systems Biology program (2005 - 2010). Sourav received his Ph.D. in computer engineering in 2001. His current research interests include tree and graph data management, systems biology data management, web data management and data mining. He has published more than 100 papers in major international database and data mining conferences and journals such as VLDB, IEEE ICDE, ACM WWW, ACM SIGMOD, ACM SIGKDD, ACM CIKM, ER, PAKDD, IEEE TKDE, ACM CS, Information Systems, and DKE.

Sourav’s key research contributions are summarized as follows.
a ) His research team is the first the undertake a systematic study on mining structural evolution of tree-structured data. This work received “Best Interdisciplinary Paper Award” in ACM CIKM 2004. Subsequently, they proposed solutions to series of novel problems related to mining evolution of tree and graph structured data. Some of these works were published in ACM WWW 2006 and 2007, ACM SIGKDD 2006, ACM CIKM 2005, 2008.

b ) His team was the first to build a system called XBLEND that blends XML query processing with XML query formulation to turbo-charge query performance by exploiting the latency offered by visual interfaces. The results of this work were published in ICDE 2006, DASFAA 2007, and ICDE 2009.

c ) He and his graduate student also developed a system called XANADUE that is the first to detect changes to XML data using relational backends. The research results were first published in DEXA 2004 and subsequently in ACM CIKM 2005, ER 2006, and SIGMOD 2007.

3. Issues of Mining for Heterogeneous Social Networks

Department of Computer Science and Information Engineering
Graduate Institute of Networking and Multimedia
National Taiwan University

http://www.csie.ntu.edu.tw/~sdlin/
http://www.iis.sinica.edu.tw/~hungyi/
http://avatar.cs.nccu.edu.tw/~relief/index.html

Prof. Shou-de Lin holds a BS in EE from National Taiwan University, an MS-EE from the University of Michigan, and an MS in Computational Linguistics and PhD in Computer Science both from the University of Southern California. In 2007, he joined the Computer Science and Information Engineering Department of National Taiwan University as an assistant professor. He leads the Machine Discovery and Social Network Mining Lab in NTU. Before joining NTU, he was a post-doctoral research fellow in the Information Science Group at the Los Alamos National Lab. Prof. Lin's research aims to design intelligent systems for information processing, which generally includes the areas of knowledge discovery and data mining, natural language processing, social network analysis and machine learning. His international recognition includes the best paper award in IEEE Web Intelligent conference 2003, 2nd place in KDDCup 2003, Google Research Award in 2007, and leader of KDDCUP08 winning team. Prof. Lin has several conference and journal publications about heterogeneous social network mining (including his Ph.D. Thesis “Modeling, Searching and Explaining Interesting Instances in Multi-Relational Networks”), and is the PI of over five funded projects about social network mining. He is also the associated editor of International Journal of Social Network Mining (IJSNM) and secretary general of Taiwanese Association for Artificial Intelligence.

Hung-Yi Lo is a Ph.D. student in the Computer Science and Information Engineering Department of National Taiwan University. He is one of the major contributors in NTU’s ACM KDDCUP 2008 winning team. His research interests are in social network mining, machine learning, and speech recognition.

Cheng-Te Li is a 2nd year Master student of Graduate Institute of Networking and Multimedia of National Taiwan University. His research concentrates on social network mining, graph mining, and multimedia mining.

4. Outlier Detection Techniques

University of Munich
Institute for Computer Science
Database and Information Systems

http://www.dbs.informatik.uni-muenchen.de/Mitarbeiter/kriegel.html
http://www.dbs.informatik.uni-muenchen.de/Mitarbeiter/kroegerp.html
http://www.dbs.ifi.lmu.de/~kroegerp/
http://www.dbs.informatik.uni-muenchen.de/~zimek/index.html

Hans-Peter Kriegel is a full professor for database systems and data mining in the Department “Institute for Informatics” at the Ludwig- Maximilians-Universitaet Muenchen, Germany and has served as the department chair or vice chair over the last years. His research interests are in spatial and multimedia database systems, particularly in query processing, performance issues, similarity search, highdimensional indexing as well as in knowledge discovery and data mining. Kriegel received his MS and Ph.D. in 1973 and 1976, respectively, from the University of Karlsruhe, Germany. Hans-Peter Kriegel has been chairman and program committee member in many international database and data mining conferences. He has published over 200 refereed conference and journal papers, and he received the “SIGMOD Best Paper Award” 1997 and the “DASFAA Best Paper Award” 2006 together with members of his research team.

Peer Kröger has a tenured position at the rank of an assistant professor in the database systems and data mining group at the Ludwig-Maximilians-Universitaet Muenchen, Germany. He finished his PhD thesis on clustering moderate-to-high dimensional data in summer 2004 and his Habilitation on data mining and similarity search in scientific data in spring 2009. His research interests are in data mining and similarity search in high dimensional multimedia and biomedical data.

Arthur Zimek is a postdoc in the database and data mining group of Hans-Peter Kriegel at the Ludwig-Maximilians-Universitaet Muenchen, Germany. He finished his PhD thesis on clustering high dimensional data in summer 2008. His research interests include data mining for high dimensional data and structured data especially for bioinformatics applications.