PAKDD 2018 : The 22nd Pacific-Asia Conference on Knowledge Discovery and Data Mining

  in Conferences   Posted on August 11, 2017

Conference Information

Submission Deadline Tuesday 31 Oct 2017
Conference & Submission Link
Conference Dates May 15, 2018 - May 18, 2018
Conference Address Melbourne, Australia
Proceedings indexed by
Conference Organizers : ( Deadline extended ? Click here to edit )

Conference Ranking & Metrics (This is a TOP Conference)

Google Scholar H5-index: 22
CORE 2017 Rating: A
Guide2Research Overall Ranking: 207
Category Rankings
Machine Learning & Arti. Intelligence 56
Databases & Information Systems 59

Conference 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: October 31, 2017 [88 days, 23h : 46m: 16s]

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 [72 days, 23h : 46m: 16s]

Workshop notification: October 31, 2017

Workshop call for papers: November 15, 2016

Important dates for Tutorials:

Tutorial proposal due: December 10, 2017 [128 days, 23h : 46m: 16s]

Tutorial notification: January 20, 2017

Important dates for Competitions:

Deadline for submitting proposals for competition: November 6, 2017 [94 days, 23h : 46m: 16s]

Notification of acceptance: November 14, 2017

Competition begins: November 20, 2017

Competition ends: March 15, 2017

Reports from selected teams: April 15, 2017


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

Theoretic foundations

Novel models and algorithms

Association analysis



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 for more details

Further Information

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

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