[DL] First Call for Papers: Special issue on Collective Intelligence and Knowledge Exploration - International Journal of Data Science and Analysis

[Salma Sassi]

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Please consider to contribute to and/or forward to the appropriate groups the following opportunity to submit and publish original scientific results to:

Special issue on Collective Intelligence and Knowledge Exploration - International Journal of Data Science and Analysis 
The paper submission deadline is April 30, 2021. 

More details about this Special Issue can be found at: https://www.springer.com/journal/41060/updates/17822970
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CALL FOR PAPERS

International Journal of Data Science and Analytics (Springer)
SPECIAL ISSUE: “Collective Intelligence and Knowledge Exploration”

GUEST EDITORS:
- Richard Chbeir (Universit? de Pau et des Pays de l'Adour, France) (richard.chbeir at univ-pau.fr)
- Mirjana Ivanovic (University of Novi Sad, Serbia) (mira at dmi.uns.ac.rs)
- Yannis Manolopoulos (Open University of Cyprus, Cyprus) (yannis.manolopoulos at ouc.ac.cy)
- Rajendra Prasath (Indian Institute of Information Technology, India) (drrprasath at gmail.com)
- Salma Sassi (University of Jendouba, Tunisia) ( salma.sassi at fsjegj.rnu.tn)

AIMS AND SCOPE
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.

TOPICS OF INTEREST

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
Topics focusing on novel KDD domains and the corresponding techniques, exploring the mining of emergent areas and domains such as:
* Data mining and Information retrieval
* Distributed Mining of Human expertise
* Text mining and Natural language processing
* Learning to Data/Text mining
* Real-time applications of text mining
* Data mining for social networks
* Events Extraction in Unstructured Text mining
* Visual analytics for text mining /exploration
* Knowledge Discovery from Data

IMPORTANT DATES
* Submission system opening: February 15th, 2021
* Submission system closing: April 30th, 2021
* First review notification: June 30th, 2021
* Resubmission of revised manuscript: July 30th, 2021
* Final notification due: 30th of August2021
* Camera ready deadline: 1st of September, 2021

SUBMISSION GUIDELINES
Papers submitted to this special issue must be original, not published and not currently under review by other journals or conferences. All papers will be reviewed following standard reviewing procedures for the Journal. The papers must be written in English and must not exceed 30 pages. Manuscript should be submitted to: https://www.springer.com/journal/41060/updates/17822970



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Salma SASSI, Ph.D. in Computer Science
Associate Professor in Computer Science

Head of DOCSYS Team
Coordinator of PAQ DGSE project
Member of OpenCEMS Industrial Chair
FSJEGJ, Jendouba, University of Jendouba, Tunisia.
Campus Universitaire de Jendouba - Avenue de l'U.M.A ,
8189 Jendouba (TUNISIE)

Email: sassisalma at yahoo.fr, salma.sassi at fsjegj.rnu.tn
Home Page: https://sites.google.com/view/salma-sassi/home
OpenCEMS: https://opencems.sigappfr.org

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