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JDSA 2021 : SPECIAL ISSUE: Collective Intelligence and Knowledge Exploration

Submission Deadline: Apr 30, 2021
Notification of Acceptance: Aug 30, 2021
Camera Ready Version Due : Sep 01, 2021


This special issue seeks high-quality papers focusing on the frontiers of human intelligence mining toward building a body of knowledge in this key domain. The focus is to present state-of-the-art in mining collective intelligence and knowledge exploration and development related to methodologies, techniques, approaches and successful applications. We seek to receive research papers focusing on learning to explore smart and intelligent systems. The contributions of this special issue have to mark a paradigm shift from "data-centered pattern mining" to "domain-driven actionable knowledge Discovery (AKD)" for next-generation Knowledge discovery in Databases (KDD) research and applications. The special issue has to identify how mining human intelligence techniques can better contribute to critical domain problems in practice, and strengthen society intelligence in complex problems. It also focuses on challenges and directions for future mining human intelligence research and development. This special issue is open to new original research submissions in the area of Collective Intelligence and Knowledge Exploration.

Call For Paper

Manuscripts addressing a wide range of topics on collective intelligence and knowledge Exploration including but not limited to the following are solicited:
Topics focusing on developing workable AKD methodologies, including:
* Evolutionary computation
* Computational intelligence
* Computational security
* Knowledge Exploration in IoT
* Knowledge integration
* Knowledge representation
* Knowledge-based system
* Experience-based Knowledge Exploration
* Uncertainties in Knowledge Exploration
* Medical image analysis, Pattern analysis and Computer vision
* Artificial intelligence
* Intelligent security systems
* Advances in Machine Learning
* Algorithms for Intelligent Learning
* Context aware techniques
* Smart and Intelligent systems
* Speech and Signal processing

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