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<p style="text-align: justify;"><strong>PAKDD-2018 Call for Papers</strong><br>
The 22nd Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD’18)</p>
<p style="text-align: justify;">May 15 – 18, Melbourne, Australia | <a href="http://prada-research.net/pakdd18">
http://prada-research.net/pakdd18</a></p>
<p style="text-align: justify;"><strong>Technical paper submission deadline: October 31</strong><strong><sup>st</sup></strong><strong>, 2017</strong></p>
<p style="text-align: justify;"><strong> </strong></p>
<p style="text-align: justify;">Dear Author(s),</p>
<p style="text-align: justify;">Now in its 22<sup>nd</sup> edition, the Pacific-Asia conference on Knowledge Discovery and Data Mining is the second oldest conference and a leading venue in the area of knowledge discovery and data mining (KDD). With a great
pleasure, the Program Committee cordially invites original research and industrial application paper submission for the main technical track of the conference which will be held in Melbourne, Australia from May 15<sup>th</sup> to May 18<sup>th</sup>, 2018.
Submission must be high-quality, original and previously unpublished research in the theory, practice, and application on all aspects of knowledge discovery, and data mining. Research papers reporting original real-world application problems and industrial
papers reporting real-time mining applications and system development experience are also highly encouraged.
</p>
<p style="text-align: justify;"><strong>Submission deadline: October 31st, 2017</strong></p>
<p style="text-align: justify;">Notification of acceptance: January 28, 2018</p>
<p style="text-align: justify;">Camera-ready: February 20, 2018</p>
<p style="text-align: justify;">Conference date: May 15 – 18, 2018</p>
<p style="text-align: justify;"> </p>
<p style="text-align: justify;">The Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) provides an internationally prestigious forum for researchers and industry practitioners to share their new ideas, original research results and practical
development experiences from all KDD related areas, including data mining, data warehousing, machine learning, artificial intelligence, databases, statistics, knowledge engineering, visualization, decision-making systems and the emerging applications. The
conference will also feature a high-quality and timely series of tutorials, and a wide range of workshops. Typically, the Program Committee will also select Best Paper Award, Best Student Paper Award and Best Application Award. The proceedings of the conference
will be published by Springer as a volume of the LNAI series and a small number of selected papers will be invited for publications in special issues of high-quality journals including Knowledge and Information Systems (KAIS) and International Journal of Data
Science and Analytics.</p>
<p style="text-align: justify;"><strong>Topics</strong></p>
<p style="text-align: justify;">As a premier international conference on knowledge discovery and data mining, PAKDD’18 welcomes all submissions on all aspects of knowledge discovery, data mining and machine learning. Suggestive topics of relevance for the conference
include, but not limited to, the following:</p>
<p>o Theoretic foundations of KDD</p>
<p>o Deep learning theory and applications in KDD</p>
<p>o Novel models and algorithms</p>
<p>o Statistical methods and graphical models for data mining</p>
<p>o Anomaly detection and analytics</p>
<p>o Association analysis</p>
<p>o Clustering</p>
<p>o Classification</p>
<p>o Data pre-processing</p>
<p>o Feature extraction and selection</p>
<p>o Post-processing including quality assessment and validation</p>
<p>o Mining heterogeneous/multi-source data</p>
<p>o Mining sequential data</p>
<p>o Mining spatial and temporal data</p>
<p>o Mining unstructured and semi-structured data</p>
<p>o Mining graph and network data</p>
<p>o Mining social networks</p>
<p>o Mining high dimensional data</p>
<p>o Mining uncertain data</p>
<p>o Mining imbalanced data</p>
<p>o Mining dynamic/streaming data</p>
<p>o Mining behavioral data</p>
<p>o Mining multi-media data</p>
<p>o Mining scientific data</p>
<p>o Privacy preserving data mining</p>
<p>o Fraud and risk analysis</p>
<p>o Security and intrusion detection</p>
<p>o Visual data mining</p>
<p>o Interactive and online mining</p>
<p>o Ubiquitous knowledge discovery and agent-based data mining</p>
<p>o Integration of data warehousing, OLAP, and data mining</p>
<p>o Parallel, distributed, and cloud-based high-performance data mining</p>
<p>o Opinion mining and sentiment analysis</p>
<p>o Human, domain, organizational, and social factors in data mining</p>
<p>o Applications to healthcare, bioinformatics, computational chemistry, finance, eco-informatics, marketing, gaming, cyber-security, and industry-related problems</p>
<p><strong> </strong></p>
<p><strong>Submission Policy</strong></p>
<p style="text-align: justify;">Paper submission must be in English and adhere to the double-blind review policy. All papers will be double-blind reviewed by the Program Committee on the basis of technical quality, relevance to data mining, originality, significance,
and clarity. All paper submissions will be handled electronically. Detailed instructions are provided on the conference home page. Papers that do not comply with the Submission Guidelines will be rejected without review. Each submitted paper should include
an abstract up to 200 words and be no longer than <strong>12 single-spaced pages with 10pt font size</strong>. Authors are strongly encouraged to use Springer LNCS/LNAI manuscript submission guidelines for their initial submissions. All papers must be submitted
electronically through the paper submission system in PDF format only.</p>
<p style="text-align: justify;">The submitted papers must not be previously published anywhere and must not be under consideration by any other conference or journal during the PAKDD review process. Submitting a paper to the conference means that if the paper
was accepted, at least one author will attend the conference to present the paper. For no-show authors, their papers will not be included in the proceedings. Before submitting your paper, please carefully read and agree with the PAKDD submission policy and
no-show policy: http://pakdd.org/policy.html.</p>
<p style="text-align: justify;">For more updated information and Calls for Tutorial proposal, Workshop Proposal and Data Mining Competition, please refer to our website at
<a href="http://prada-research.net/pakdd18"><strong>http://prada-research.net/pakdd18</strong></a></p>
<p style="text-align: justify;">Feel free to contact us at <strong>pakdd2018@gmail.com</strong> if you have any questions; and we are excited to looking forward to welcoming you in Melbourne next year!</p>
<p style="text-align: justify;">Best Regards,</p>
<p style="text-align: justify;">Dinh Phung and Vincent S. Tseng<br>
Program Co-Chairs, PAKDD’18<br>
</p>
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