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

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Past:   Proceedings on DBLP

Future:  Post a CFP for 2019 or later   |   Invite the Organizers Email

 
 

All CFPs on WikiCFP

Event When Where Deadline
PAKDD 2018 The 22nd Pacific-Asia Conference on Knowledge Discovery and Data Mining
May 15, 2018 - May 18, 2018 Melbourne, Australia Oct 31, 2017
PAKDD 2017 The 21st Pacific-Asia Conference on Knowledge Discovery and Data Mining
May 23, 2017 - May 26, 2017 Jeju Island, Korea Oct 30, 2016
PAKDD 2016 The 20th Pacific-Asia Conference on Knowledge Discovery and Data Mining
Apr 19, 2016 - Apr 22, 2016 Auckland, New Zealand Oct 4, 2015
PAKDD 2015 Pacific-Asia Conference on Knowledge Discovery and Data Mining
May 19, 2015 - May 22, 2015 Ho Chi Minh, Vietnam Nov 28, 2014
PAKDD 2014 The Pacific-Asia Conference on Knowledge Discovery and Data Mining
May 13, 2014 - May 16, 2014 Tainan, Taiwan Oct 8, 2013
PAKDD 2013 The Pacific-Asia Conference on Knowledge Discovery and Data Mining
Apr 14, 2013 - Apr 17, 2013 Gold Coast, Australia Oct 15, 2012
PAKDD 2012 The 16th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD)
May 29, 2012 - Jun 1, 2012 Malaysia Oct 2, 2011 (Sep 25, 2011)
PAKDD 2011 The 15th Pacific-Asia Conference on Knowledge Discovery and Data Mining
May 24, 2011 - May 27, 2011 Shenzhen,China Oct 10, 2010 (Oct 3, 2010)
PAKDD 2010 The 14th Pacific-Asia Conference on Knowledge Discovery and Data Mining
Jun 21, 2010 - Jun 24, 2010 Hyderabad, India Nov 30, 2009
PAKDD 2008 12th Pacific-Asia Conference on Knowledge Discovery and Data Mining
May 20, 2008 - May 23, 2008 Osaka, Japan Sep 23, 2007
 
 

Present CFP : 2018

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
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.
 

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