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CFP: Special Session on Intelligent Knowledge Engineering in Decision Making Systems (IKEDS 2021) at IEA AIE 2021
Posted by:
webmasterphilfv
Date: October 10, 2020 05:39PM
Special Session on Intelligent Knowledge Engineering in Decision Making Systems (IKEDS2021)
https://ieaaie2021.wordpress.com/special-session-2-ikeds/
held at
34th International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems (IEA/AIE 2021)
Overview
Intelligent Knowledge Engineering (analytics and mining) has become an emerging research topic in recent decades. It aims at extracting knowledge, information or models that can be used for decision and strategy making. The two main components of intelligent knowledge engineering are Analytics and Mining, used for retrieving interesting, novel, useful and surprising patterns from data, and performing queries to analyze, transform or visualize data and knowledge. Popular techniques from the field of artificial intelligence such as machine learning and optimization techniques are also often used to make predictable decisions in a limited amount of time. Several techniques have also been adapted to efficiently handle large databases and streams, commonly found in this big data era. This special session focuses on issues regarding intelligent knowledge engineering, including analytics and knowledge and pattern mining from data collected in real-world applications, that can be used to provide decision and strategy making abilities to intelligent systems. We welcome the innovative, creative, original, cutting-edge and state-of-the-art theoretical and applied contributions on this and relevant issues.
Call for paper
We are inviting original research submissions (FULL 12 pages) and work-in-progress (SHORT 6 pages). Submitted papers must be formatted using the Springer LNCS/LNAI style.
Scope
Topics of interest include but are not limited to:
Development of intelligent systems
Data analytics for decision and strategy making
Knowledge prediction for intelligent system
Theoretical methodology for an intelligent analysis
Machine learning techniques for intelligent decision making
Big data issues for intelligent systems
Knowledge engineering for decision making
Security and privacy issues in intelligent systems
Image recognition in intelligent systems
AI for decision making
Optimization for knowledge engineering
Applications for knowledge engineering
Mining actionable and insightful patterns in intelligent system data
Visualization of knowledge and decision models
Important Dates
● Paper Submission: December 15, 2020
● Notification of Acceptance: February 28, 2021
● Camera Ready Paper: April 1, 2021
● Conference Dates: July 26-29, 2021
Submission
Submission Site: https://cmt3.research.microsoft.com/IEAAIE2021/Submission/Manage
Organizers
Philippe Fournier-Viger, Harbin Institute of Technology (Shenzhen), China, philfv8@yahoo.com
Jerry Chun-Wei Lin, Western Norway University of Applied Sciences, Norway, jerrylin@ieee.org
Gautam Srivastava, Brandon University, Canada, SRIVASTAVAG@brandonu.ca
R. Uday Kiran, The University of Tokyo, Tokyo, China, uday_rage@tkl.iis.u-tokyo.ac.jp
Contact
Philippe Fournier-Viger, philfv8@yahoo.com
Edited 3 time(s). Last edit at 10/10/2020 05:40PM by webmasterphilfv.
https://ieaaie2021.wordpress.com/special-session-2-ikeds/
held at
34th International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems (IEA/AIE 2021)
Overview
Intelligent Knowledge Engineering (analytics and mining) has become an emerging research topic in recent decades. It aims at extracting knowledge, information or models that can be used for decision and strategy making. The two main components of intelligent knowledge engineering are Analytics and Mining, used for retrieving interesting, novel, useful and surprising patterns from data, and performing queries to analyze, transform or visualize data and knowledge. Popular techniques from the field of artificial intelligence such as machine learning and optimization techniques are also often used to make predictable decisions in a limited amount of time. Several techniques have also been adapted to efficiently handle large databases and streams, commonly found in this big data era. This special session focuses on issues regarding intelligent knowledge engineering, including analytics and knowledge and pattern mining from data collected in real-world applications, that can be used to provide decision and strategy making abilities to intelligent systems. We welcome the innovative, creative, original, cutting-edge and state-of-the-art theoretical and applied contributions on this and relevant issues.
Call for paper
We are inviting original research submissions (FULL 12 pages) and work-in-progress (SHORT 6 pages). Submitted papers must be formatted using the Springer LNCS/LNAI style.
Scope
Topics of interest include but are not limited to:
Development of intelligent systems
Data analytics for decision and strategy making
Knowledge prediction for intelligent system
Theoretical methodology for an intelligent analysis
Machine learning techniques for intelligent decision making
Big data issues for intelligent systems
Knowledge engineering for decision making
Security and privacy issues in intelligent systems
Image recognition in intelligent systems
AI for decision making
Optimization for knowledge engineering
Applications for knowledge engineering
Mining actionable and insightful patterns in intelligent system data
Visualization of knowledge and decision models
Important Dates
● Paper Submission: December 15, 2020
● Notification of Acceptance: February 28, 2021
● Camera Ready Paper: April 1, 2021
● Conference Dates: July 26-29, 2021
Submission
Submission Site: https://cmt3.research.microsoft.com/IEAAIE2021/Submission/Manage
Organizers
Philippe Fournier-Viger, Harbin Institute of Technology (Shenzhen), China, philfv8@yahoo.com
Jerry Chun-Wei Lin, Western Norway University of Applied Sciences, Norway, jerrylin@ieee.org
Gautam Srivastava, Brandon University, Canada, SRIVASTAVAG@brandonu.ca
R. Uday Kiran, The University of Tokyo, Tokyo, China, uday_rage@tkl.iis.u-tokyo.ac.jp
Contact
Philippe Fournier-Viger, philfv8@yahoo.com
Edited 3 time(s). Last edit at 10/10/2020 05:40PM by webmasterphilfv.
Re: CFP: Special Session on Intelligent Knowledge Engineering in Decision Making (IKEDS 2021 at IEA AIE 2021)
Posted by:
webmasterphilfv
Date: October 10, 2020 05:39PM
Welcome to submit your papers! For any information, you can ask me.