posted by organizer: waseemahmad || 3585 views || tracked by 8 users: [display]

MAMLAKE 2017 : Special Session on Modern Applications of Machine Learning for Actionable Knowledge Extraction

FacebookTwitterLinkedInGoogle

Link: https://aciids.pwr.edu.pl/2017/special_sessions.php
 
When Apr 3, 2017 - Apr 5, 2017
Where Kanazawa, Japan
Submission Deadline Oct 1, 2016
Notification Due Nov 1, 2016
Final Version Due Nov 15, 2016
Categories    machine learning   artificial intelligence   data mining
 

Call For Papers

CALL FOR PAPERS

Special Session on Modern Applications of Machine Learning for Actionable Knowledge Extraction
at the 9th Asian Conference on Intelligent Information and Database Systems (ACIIDS 2017), Kanazawa, Japan, April 3-5, 2017
Conference website: http://www.aciids.pwr.edu.pl/

Objectives and topics

The special session on modern applications of machine learning for actionable knowledge extraction (MAMLAKE) at the 9th Asian Conference on Intelligent Information and Database Systems (ACIIDS 2017) is devoted to the modern applications of machine learning techniques (supervised, unsupervised, semi- supervised and reinforcement learning) and how these techniques are helpful in extracting actionable knowledge. The application domain includes: engineering, retail, marketing, telecommunication, banking, bio-informatics, social sciences, security, health care, education, etc.
We want to offer an opportunity for researchers and practitioners to identify and implement machine learning approaches to novel and existing real world problems and report how these approaches are helping create actionable knowledge to assist in solving problems. The scope of the MAMLAKE 2017 includes, but is not limited to the following topics:
• Theoretical framework for actionable knowledge discovery
• Domain driven data mining
• Novel machine learning applications
• Mining actionable patterns from complex datasets
• Relational and graph mining methods
• Medical informatics
• Predictive analytics
• Temporal analysis
• Data warehouse & cube mining
• Frequent pattern analysis
• Classification
• Cluster analysis
• Outlier detection
• Intrusion detection
• Text understanding (web search, anti-spam)
• Building smart robots
• Pattern visualization
• Image processing
• Mining large data streams
• Mining large scale sensor data


Important dates
Submission of papers: 1 October 2016
Notification of acceptance: 1 November 2016
Camera-ready papers: 15 November 2016
Registration & payment: 15 December 2016
Conference date: 3-5 April 2017


Special Session Organizers

Dr Waseem Ahmad
Department of Computing
Waiariki Bay of Plenty Polytechnic, New Zealand

Dr Paul Leong
Department of Business Information Systems
Auckland University of Technology, New Zealand

Dr Muhammad Usman
Department of Computer Science
Shaheed Zulfiqar Ali Bhutto Institute of Science and Technology, Pakistan

For further inquiry regarding the special session please contact waseem.ahmad@waiariki.ac.nz

Related Resources

IJCAI 2017   International Joint Conference on Artificial Intelligence
ICML 2017   34rd International Conference on Machine Learning
MLDM 2017   Machine Learning and Data Mining in Pattern Recognition
PAKDD 2017   The 21st Pacific-Asia Conference on Knowledge Discovery and Data Mining
DSAA 2017   The 4th IEEE International Conference on Data Science and Advanced Analytics 2017
ICDE 2017   IEEE INTERNATIONAL CONFERENCE ON DATA ENGINEERING 2017
ISMIS 2017   23rd International Symposium on Methodologies for Intelligent Systems
ECML-PKDD 2017   European Conference on Machine Learning and Principles and Practice of Knowledge Discovery
Speclial Issue of JoCS on Intelligent CT 2016   Elsevier-Journal of Computational Science- Special Issue On Intelligent Computational Techniques (Intelligent CT)
CCML 2017   The 16th China Conference on Machine Learning