The 16th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2012)

PAKDD 2012: The 16th Pacific-Asia Conference on Knowledge Discovery and Data Mining
(Proceedings of the conference will be published in LNCS by Springer).

Kuala Lumpur, Malaysia, May 29 - June 1, 2012
Conference web site: http://pakdd2012.pakdd.org/

Important Dates Paper Submission Due: 2 October, 2011 (Sunday)
Author Notification: 30 December, 2011 (Friday)
Camera Ready Due: 22 January, 2012 (Sunday)

Conference Scope
The Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) is a leading international conference in the areas of data mining and knowledge discovery (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, aritificial intelligence, databases, statistics, knowledge engineering, visualization, and decision-making systems. The conference calls for research papers reporting original investigation results and industrial papers reporting real data mining applications and system development experience.

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

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

All paper submissions will be handled electronically. Detailed instructions are provided on the conference home page.