PAKDD 2018: Pacific Asia Conference on Knowledge Discovery and Data Mining

09/10/2017

PAKDD-2018 Call for Papers
The 22nd Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD’18)

May 15 – 18, Melbourne, Australia | http://prada-research.net/pakdd18

Technical paper submission deadline: October 31st, 2017

Dear Author(s),

Now in its 22nd edition, the Pacific-Asia conference on Knowledge Discovery and Data mining is the second oldest conference and a leading venue in 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 15th to May 18th, 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 Submission must be high-quality, original and previously unpublished research in the theory, practice, and application on all aspects of knowledge discovery, and data mining.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.

Submission deadline: October 31st, 2017

Notification of acceptance: January 28, 2018

Camera-ready: February 20, 2018

Conference date: May 15 – 18, 2018

 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.

Topics

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:

o   Theoretic foundations of KDD

o   Deep learning theory and applications in KDD

o   Novel models and algorithms

o   Statistical methods and graphical models for data mining

o   Anomaly detection and analytics

o   Association analysis

o   Clustering

o   Classification

o   Data pre-processing

o   Feature extraction and selection

o   Post-processing including quality assessment and validation

o   Mining heterogeneous/multi-source data

o   Mining sequential data

o   Mining spatial and temporal data

o   Mining unstructured and semi-structured data

o   Mining graph and network data

o   Mining social networks

o   Mining high dimensional data

o   Mining uncertain data

o   Mining imbalanced data

o   Mining dynamic/streaming data

o   Mining behavioral data

o   Mining multi-media data

o   Mining scientific data

o   Privacy preserving data mining

o   Fraud and risk analysis

o   Security and intrusion detection

o   Visual data mining

o   Interactive and online mining

o   Ubiquitous knowledge discovery and agent-based data mining

o   Integration of data warehousing, OLAP, and data mining

o   Parallel, distributed, and cloud-based high-performance data mining

o   Opinion mining and sentiment analysis

o   Human, domain, organizational, and social factors in data mining

o   Applications to healthcare, bioinformatics, computational chemistry, finance, eco-informatics, marketing, gaming, cyber-security, and industry-related problems

 

Submission Policy

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 12 single-spaced pages with 10pt font size. 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.

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.

For more updated information and Calls for Tutorial proposal, Workshop Proposal and Data Mining Competition, please refer to our website athttp://prada-research.net/pakdd18

Feel free to contact us at pakdd2018@gmail.com if you have any questions; and we are excited to looking forward to welcoming you inMelbourne next year!

Best Regards,

Dinh Phung and Vincent Tseng
Program Co-chairs, PAKDD’18

 

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