posted by user: npobedina || 29489 views || tracked by 165 users: [display]

PAKDD 2014 : The Pacific-Asia Conference on Knowledge Discovery and Data Mining


Conference Series : Pacific-Asia Conference on Knowledge Discovery and Data Mining
When May 13, 2014 - May 16, 2014
Where Tainan, Taiwan
Submission Deadline Oct 8, 2013
Notification Due Dec 20, 2013
Final Version Due Jan 12, 2014
Categories    knowledge discovery   data mining

Call For Papers

Preliminary Call for Papers
The 18th Pacific-Asia Conference on Knowledge Discovery and Data Mining 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, artificial 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. The conference will confer Best Paper Awards to the Best full papers, the Best student papers and the Best application papers from the submissions. The proceedings of the conference will be published by Springer as a volume of the LNAI series and selected best papers will be invited for publications in high-quality journals.

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 miningmining
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, etc

Organizing Committee
Honorary Chairs
Hiroshi Motoda, Osaka University, Japan
Philip S. Yu, University of Illinois at Chicago, USA
General Chairs
Zhi-Hua Zhou, Nanjing University, China
Arbee L.P. Chen, National Chengchi University, Taiwan
Program Committee Chairs
Vincent S. Tseng, National Cheng Kung University, Taiwan
Tu Bao Ho, JAIST, Japan

Related Resources

KDD 2018   Knowledge Discovery and Data Mining Conference
PAKDD 2018   The 22nd Pacific-Asia Conference on Knowledge Discovery and Data Mining
PAKDD 2017   The 21st Pacific-Asia Conference on Knowledge Discovery and Data Mining
MLDM 2018   14th International Conference on Machine Learning and Data Mining MLDM 2018
ADAH 2017   Advanced Data Analytics in Health
ICDM 2018   18th Industrial Conference on Data Mining ICDM 2018
AIAI 2018   14th Artificial Intelligence Applications and Innovations 2018
INISTA 2018   IEEE International Conference on Innovations in Intelligent SysTems and Applications
Ei DMKD 2018   2018 International Conference on Data Mining and Knowledge Discovery(DMKD 2018)
IEEE - ICBDA 2018   2018 IEEE 3rd International Conference on Big Data Analysis (ICBDA 2018)--IEEE Xplore and Ei Compendex