The Australasian Database Conference (ADC) is an annual forum for sharing the latest research progresses and novel applications of database systems, data management, data mining and data analytics for researchers and practitioners in these areas from Australia, New Zealand and in the world. In 2019, the conference will be co-located with the Australasian Computer Science Week, and be held at Macquarie University in Sydney, during January 29 – February 1, 2019.
Call for paper
Draft paper submission deadline：2018-08-17
- Submitted papers must be original contributions and cannot be under review for any other forums. The accepted papers will be published in the conference proceedings, which will form a volume in the Springer's Lecture Notes in Computer Science series.
- All submitted papers must be in English and conform to the formatting instructions for the Lecture Notes in Computer Science (LNCS) including references and figures.
- Submitted files must be in PDF, where the following page limits apply:
- Research and industry papers: 12 pages
- Demo papers: 4 pages
- Each paper will be judged on its originality, significance, technical quality, relevance to ADC, and presentation.
- ADC follows single blind review which means that authors' information must be included in the submission.
- The submissions of a paper should be regarded as an undertaking that, should the paper be accepted, at least one author will attend the conference to present the work.
Topics of submission
The ADC 2019 welcomes contributions related to all aspects of database theory, techniques, and applications. Topics include, but are not limited to:
- Artificial intelligence in big data
- Mobile databases
- Cloud, distributed, and parallel databases
- Multimedia databases
- Data cleaning
- Novel data management applications
- Data mining and data analytics
- Privacy and security in databases
- Data platform internals
- Query processing and optimization
- Data warehousing
- Recommendation Systems
- Database integration
- Semi-structured data and XML
- Database performance and tuning
- Social data management
- High-dimensional and temporal data
- Spatial data processing and management
- Knowledge discovery
- Stream and sensor data management
- Machine learning methods for management of data
- Uncertain and probabilistic databases
- Web databases
Alan Fekete (The University of Sydney, Australia)
Lijun Chang (The University of Sydney, Australia)
Junhao Gan (The University of Melbourne, Australia)
Xin Cao (The University of New South Wales, Australia)