The 23rd Australasian Database Conference (ADC 2012)
The Australasian Database Conference series is an annual forum for sharing the latest research and novel applications of database systems. The 23nd Australasian Database Conference, ADC 2012, will be held in Melbourne, Australia as part of the Australasian Computer Science Week (ACSW 2012).
As with previous years, registration to the Australasian Database Conference will enable delegates to attend sessions in any conference participating in the Australasian Computer Science Week.
Conference Registration Information
ADC 2012:Key Dates
Paper submission: Extended to Monday 29th August, 2011
Author notification: Monday 10th October, 2011
Conference dates: 30th January - 2nd February, 2012
Invited Speakers (Alphabetic order) and ACM SIGSPATIAL Australian Chapter Special Workshop (with Prize for Poster Competition)
Invited Speaker: Yufei TaoYufei Tao is a full professor in
the Department of Computer Science and Engineering, Chinese University of
Hong Kong (CUHK). |
Invited Speaker: Hua WangHua Wang is a professor
in computer science at the University of Southern Queensland. Professor
Wang was awarded a PhD degree |
Invited Speaker: Geoff WebbGeoff Webb is a
Professor of Information Technology Research in the Faculty of Information
Technology at Monash His commercial data mining software, Magnum Opus, incorporates many techniques from his association discovery research. Many of his learning algorithms are included in the widely-used Weka machine learning workbench. He is editor-in-chief of Data Mining and Knowledge Discovery, co-editor of the Springer Encyclopedia of Machine Learning, a member of the advisory board of Statistical Analysis and Data Mining and a member of the editorial boards of Machine Learning and ACM Transactions on Knowledge Discovery in Data. |
ACM SIGSPATIAL Australian Chapter Special Workshop: Geographical/Spatial Data Management and AnalysisThis special
workshop collocated with ADC 2012 will have exclusively invited talks
given by experts in the area of geographical/spatial data management and
analysis. This is a unique chance for learning the state-of-the-art of
this area. |
Key areas (but not limited to)
| Databases for bioinformatics | Privacy and Security in Databases |
| Databases and ontologies | Query processing and optimisation |
| Data mining/knowledge discovery | Semi-structured data |
| Data warehousing | Spatial data processing/management |
| Database integration issues | Stream Data Management |
| Mobile Databases | Uncertain and probabilistic databases |
| Federated, distributed, parallel and grid databases | Web databases |
| High dimensional and temporal data | XML and graph databases |
| Image/video retrieval and databases | Data as "services" |
| Information retrieval, filtering and dissemination | Web service management |
| Logic in databases | Cloud data and services |
| Performance issues of databases | Social media data management |

Before
joining CUHK in 2006, he was a Visiting Scientist at the Carnegie Mellon
University during 2002-2003, and an Assistant Professor at the City
University of Hong Kong during 2003-2006. He received a Hong Kong Young
Scientist Award in 2002 from the Hong Kong Institution of Science. He
regularly serves the programming committees of SIGMOD, VLDB, ICDE, and is
currently an associate editor of ACM Transactions on Database Systems
(TODS). He was the PC chair of the demonstration track in SIGMOD 2010, a
PC co-chair of International Symposium on Spatial and Temporal Databases (SSTD)
2011, an area PC chair of ICDE 2011, and a senior PC member of
International Conference of Information and Knowledge (CIKM) 2010, 2011.
His current research interests focus on algorithms with non-trivial
theoretical guarantees, particularly those dealing with massive datasets
that do not fit in memory.
in Computer Science from the University of Southern Queensland in 2004. He
has been active in various areas such as database, data mining, security
and privacy, access control, Software Engineering and Electronic Commerce.
He has participated in research projects on mobile electronic system, web
service, and role-based access control for Electronic service system,
privacy preserving in data mining, and has already published over 100
research papers. Hua has received three large ARC discovery grants since
2006.
University,
where he heads the Centre for Research in Intelligent Systems. Prior to
Monash he held appointments at Griffith University and then Deakin
University, where he received a personal chair. His primary research areas
are machine learning, data mining, and user modelling. He is known for his
contribution to the debate about the application of Occam's razor in
machine learning and for the development of numerous methods, algorithms
and techniques for machine learning, data mining and user modelling.