PAKDD 2012 - 16th Pacific-Asia Conference on Knowledge Discovery and Data Mining PAKDD2012

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.
http://pakdd2012.pakdd.org/

The conference calls for research papers reporting original investigation results and industrial papers reporting real data mining applications and system development experience.

The conference will confer a Best Paper Award to the best full paper, and the Best Student Papers from amongst the student submissions. The proceedings of the conference will be published by Springer as a volume of the LNAI series.

PAKDD2012 will be held in Kuala Lumpur, one of the most attractive cities in Malaysia.

The topics of the conference and workshop papers fall into three major categories that will include but are not limited to the following:

A. DATA MINING FOUNDATIONS

Theoretic foundations
Novel models and algorithms
Mining emerging data types
Mining mixed and multi-source data
Mining complex sequential data
Mining spatial and temporal data
Mining textual and semi-structured/unstructured data
Parallel, distributed and combined data mining
Privacy data analysis
Mining high dimensional data
Statistical foundations
B. MINING IN EMERGING DOMAINS

Stream/dynamic data mining
Visual data mining
Mining behavioral data
Ubiquitous knowledge discovery
Mining multi-agent data and agent-based data mining
Mining linkages, networks and communities
Mining the Internet and social networks
Financial data mining
Opinion and sentiment analysis
Mining imbalanced data
Mining graphic data
Security, risk, cost, impact, trust and repeatibility etc.
Interactive and online mining
Integration of data warehousing, OLAP and data mining
Massive data mining on cloud platforms
C. PROCESS AND APPLICATIONS

Actionable knowledge discovery
Developing a unifying theory of data mining
Data pre-processing and transformation
Feature selection and extraction
Post-processing and post mining
Deliverable representation and presentation
Automating the mining process
Human, domain, organizational and social factors in data mining
Quality assessment and validation
Data mining languages
High performance implementations of data mining algorithms
Intrusion detection and surveillance analysis
Healthcare, health, drug and medical data analysis
Bioinformatics, computational chemistry, ecoinformatics
Fraud and risk analysis
Other applications such as supply chain intelligence
Lessons and experiences

IMPORTANT DATES

Abstract Submission Due: 25 September, 2011 (Sunday)
Paper Submission Due: 2 October, 2011 (Sunday)
Author Notification: 30 December, 2011 (Friday)
Camera Ready Due: 22 January, 2012 (Sunday)
Workshop Proposal Due: 28 August, 2011 (Sunday)
Workshop Notification: 11 September, 2011 (Sunday)
Tutorial Proposal Due: 13 November, 2011 (Sunday)
Tutorial Notification: 4 December, 2011 (Sunday)
Conference: 29 May - 1 June, 2012