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<h1>2020 Australasian Database Conference</h1>
<h2>Call for papers</h2>
<!--<b>The PDF version is available <a href="documents/ADC_Call_for_papers.pdf" target="_blank">Here</a>.</b>
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<p align="justify">
ADC 2020 welcomes contributions related to all aspects of database theory and foundation, techniques, and applications.
</p>
<h3>Relevant topics include, but are not limited to:</h3>
<ul>
<li>
<span style=“font-family:arial,helvetica,sans-serif;”> Artificial intelligence in big data</span>
</li>
<li>
<span style=“font-family:arial,helvetica,sans-serif;”> Cloud, distributed, and parallel databases</span>
</li>
<li>
<span style=“font-family:arial,helvetica,sans-serif;”> Data cleaning </span></li><li>
<span style=“font-family:arial,helvetica,sans-serif;”> Data mining and data analytics </span></li>
<li>
<span style=“font-family:arial,helvetica,sans-serif;”> Data platform internals</span>
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<li>
<span style=“font-family:arial,helvetica,sans-serif;”> Data warehousing</span></li><li>
<span style=“font-family:arial,helvetica,sans-serif;”> Database integration</span></li><li>
<span style=“font-family:arial,helvetica,sans-serif;”> Database performance and tuning</span></li>
<li>
<span style=“font-family:arial,helvetica,sans-serif;”> High-dimensional and temporal data</span></li>
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<span style=“font-family:arial,helvetica,sans-serif;”> Knowledge discovery</span>
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<span style=“font-family:arial,helvetica,sans-serif;”> Machine learning methods for management of data</span>
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<span style=“font-family:arial,helvetica,sans-serif;”> Mobile databases</span></li><li>
<span style=“font-family:arial,helvetica,sans-serif;”> Multimedia databases</span></li>
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<span style=“font-family:arial,helvetica,sans-serif;”> Novel data management applications</span>
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<span style=“font-family:arial,helvetica,sans-serif;”> Privacy and security in databases</span></li><li>
<span style=“font-family:arial,helvetica,sans-serif;”> Query processing and optimization</span></li>
<li>
<span style=“font-family:arial,helvetica,sans-serif;”> Recommendation Systems</span>
</li>
<li>
<span style=“font-family:arial,helvetica,sans-serif;”> Semi-structured data and XML</span></li><li>
<span style=“font-family:arial,helvetica,sans-serif;”> Social data management</span></li><li>
<span style=“font-family:arial,helvetica,sans-serif;”> Spatial data processing and management</span></li><li>
<span style=“font-family:arial,helvetica,sans-serif;”> Stream and sensor data management</span></li><li>
<span style=“font-family:arial,helvetica,sans-serif;”> Uncertain and probabilistic databases</span></li>
<li>
<span style=“font-family:arial,helvetica,sans-serif;”> Web databases</span></li>
</ul>
<h3>Contribution Types:</h3>
<ul>
<li>
<span style=“font-family:arial,helvetica,sans-serif;”> Research and Industry Full Papers (12 pages)</span></li><li>
<span style=“font-family:arial,helvetica,sans-serif;”> Demonstration Papers (4 pages)</span></li>
</ul>
<h3>Instructions: </h3>
<ul>
<li>
<span style=“font-family:arial,helvetica,sans-serif;”> Submitted papers must be original contributions and cannot be under review for any other forum. 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.</span></li><li>
<span style=“font-family:arial,helvetica,sans-serif;”> 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.</span></li>
<li>
<span style=“font-family:arial,helvetica,sans-serif;”> The format style files are available at <a href="https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines" target="_blank">LNCS Authors Instructions Page</a>.</span></li>
<li>
<span style=“font-family:arial,helvetica,sans-serif;”> Submitted files must be in PDF, where the following page limits apply: 12 pages for research/industry papers, and 4 pages for demonstration proposals.</span></li>
<li>
<span style=“font-family:arial,helvetica,sans-serif;”> Each paper will be judged on its originality, significance, technical quality, relevance to ADC, and presentation.</span></li><li>
<span style=“font-family:arial,helvetica,sans-serif;”> ADC follows single blind review which means that authors' information must be included in the submission.
</span></li>
</ul>
<h3>Submissions: </h3>
<ul>
<li>
<span style=“font-family:arial,helvetica,sans-serif;”> The submission 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.
</span>
</li>
<li>
<span style=“font-family:arial,helvetica,sans-serif;”> Submission site: <a href="https://easychair.org/conferences/?conf=acsw2020" target="_blank">https://easychair.org/conferences/?conf=acsw2020</a> (Choose the Australasian Database Conference track after login)
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