posted by organizer: waseemahmad || 8730 views || tracked by 10 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

ICMLA 2021   20th IEEE International Conference on Machine Learning and Applications
IARCE 2021-Ei Compendex & Scopus 2021   2021 5th International Conference on Industrial Automation, Robotics and Control Engineering (IARCE 2021)
ai4i 2021   Artificial Intelligence for Industries (ai4i 2021)
CFMAI 2021   2021 3rd International Conference on Frontiers of Mathematics and Artificial Intelligence (CFMAI 2021)
FAIML 2021   2021 International Conference on Frontiers of Artificial Intelligence and Machine Learning (FAIML 2021)
EI-ISoIRS 2021   2021 2nd International Symposium on Intelligent Robotics and Systems (ISoIRS 2021)
ML_BDA 2021   Special Issue on Machine Learning Technologies for Big Data Analytics
JCRAI 2021   2021 International Joint Conference on Robotics and Artificial Intelligence (JCRAI 2021)
ISC HPC 2021   ISC HIGH PERFORMANCE 2021 DIGITAL
blockchain_ml_iot 2021   Network and Electronics (MDPI) Joint Special Issue - Blockchain and Machine Learning for IoT: Security and Privacy Challenges