Special Session on Modern Applications of Machine Learning for Actionable Knowledge Extraction
When : 2017-04-03
Where : Kanazawa,Japan.
Submission Deadline : 2016-10-01
Categories : Informatics , Data Mining
Special Session on Modern Applications of Machine Learning for Actionable Knowledge Extraction(MAMLAKE 2017)
April 03-05,2017
Kanazawa, Japan.
Call For Papers
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.
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
User Name : Claude
Posted 06-09-2016 on 08:12:35 AEDT