CALL FOR PAPERS

Conference Scope

The Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) is a leading international conference in the areas of knowledge discovery and data mining (KDD). It provides an international 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.

Important Dates

Important dates for Papers:
Paper submission due: November 21, 2017
Notification to authors: January 28, 2018
Camera-ready due: February 20, 2018
Conference: May 15 – 18, 2018
Important dates for Workshops:
Workshop proposal due: October 15, 2017
Workshop notification: October 31, 2017
Workshop call for papers: November 15, 2016
Important dates for Tutorials:
Tutorial proposal due: December 10, 2017
Tutorial notification: January 20, 2017
Important dates for Competitions:
Deadline for submitting proposals for competition: November 6, 2017
Notification of acceptance: November 14, 2017
Competition begins: November 20, 2017
Competition ends: March 15, 2017
Reports from selected teams: April 15, 2017
Topics

The topics of relevance for the conference papers include but not limited to the following:

Theoretic foundations
Novel models and algorithms
Association analysis
Clustering
Classification
Statistical methods for data mining
Data pre-processing
Feature extraction and selection
Post-processing including quality assessment and validation
Mining heterogeneous/multi-source data
Mining sequential data
Mining spatial and temporal data
Mining unstructured and semi-structured data
Mining graph and network data
Mining social networks
Mining high dimensional data
Mining uncertain data
Mining imbalanced data
Mining dynamic/streaming data
Mining behavioral data
Mining multimedia data
Mining scientific data
Privacy preserving data mining
Anomaly detection
Fraud and risk analysis
Security and intrusion detection
Visual data mining
Interactive and online mining
Ubiquitous knowledge discovery and agent-based data mining
Integration of data warehousing, OLAP, and data mining
Parallel, distributed, and cloud-based high performance data mining
Opinion mining and sentiment analysis
Human, domain, organizational, and social factors in data mining
Applications to healthcare, bioinformatics, computational chemistry, finance, eco-informatics, marketing, gaming, cyber-security etc.
Paper Submission

Please visit http://prada-research.net/pakdd18/index.php/submission-policy/ for more details

Further Information

For further information, please contact the Program Committee Chairs at pakdd2018 (at) gmail.com.