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DMDE 2016 : Special Issue on Data Mining and its Applications in Digital Ecosystems


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Submission Deadline Sep 1, 2016
Notification Due Oct 30, 2016
Final Version Due Nov 22, 2016
Categories    data mining   digital ecosystems

Call For Papers

Data Mining is a set of techniques aiming to find useful information through a process of analyzing data from multiple perspectives. As an emergent topic, data mining has currently a rapid progress and exponential use in several fields. Many researches have been proposed in this topic. Theory and practical applications are developed to deal with problems linked to information retrieval in different fields.

Recently, the massive growth of information amount is leaded by new research domains such as big data, cloud computing, internet of things etc. In this context, data mining appear as a convenient and important tools to analyze and treat this growth. Indeed, data mining techniques are able to extract pertinent and useful features information whatever it is nature (textual, scalar, multimedia …).

Inspired from natural ecosystem, a Digital Ecosystems refers to the distributed, adaptive and open socio-technical system. A Digital Ecosystems has the following characteristics: (1) Self-organization, (2) scalability and (3) sustainability. Data Mining techniques appear as significant tools to deal with these mentioned characteristics. As proved by several recent research works, the results of these techniques are reassuring.

In this special issue we seek original or review research papers aiming to explore the application of data mining in the context of digital ecosystems. Submissions are welcome in the following areas, but are not limited to:

Data Mining in Pervasive Environnements
Data Mining in Networks (VANET, WSNs, MANET, …)
Data Mining and Cloud Computing.
Data Mining and Internet of Things.
Data Mining and System Security.
Novel data mining methods
Decision Support
Data Mining and Information Systems
Data Mining in medical field
Computer Vision
Image Processing
Machine Learning
Support Vector Machines
Neural Networks
Classification techniques
Data Mining and Knowledge Discovery
Textual extraction
Data Mining in Big Data
Pattern Recognition
Authors should prepare their manuscript according to the Guide for Authors available on the online submission page of the Journal (

Note: please choose the "Data Mining in D. Ecosystems" special issue when submitting your papers through the electronic submission system.

For additional questions, please send an email to the guest editors.

Key deadlines/dates:

Submission deadline: September 01, 2016
First review notification: October 30, 2016
Revised submission due: November 15, 2016
Final notice of acceptance/rejection: November 22, 2016
Guest editors:

Dr. Salah Zidi
Qassim University KSA

Dr. Tarek Moulahi
Qassim University KSA

Related Resources

ADAH 2017   Advanced Data Analytics in Health
ICDM 2017   IEEE International Conference on Data Mining 2017
IEEE Big Data 2017   2017 IEEE International Conference on Big Data
WSDM 2018   The 11th ACM International Conference on Web Search and Data Mining
ACML 2017   The 9th Asian Conference on Machine Learning
DSAA 2017   The 4th IEEE International Conference on Data Science and Advanced Analytics 2017
ICDIM 2017   Twelfth International Conference on Digital Information Management
ICCBDC - ACM 2017   International Conference on Cloud and Big Data Computing (ICCBDC 2017)--Ei Compendex and Scopus
COMPLEX NETWORKS 2017   6th International Conference on Complex Networks and Their Applications
data-driven 2017   Special Issue on “Data-Driven User Behavioral Modeling: From Real-World Behavior to Knowledge, Algorithms, and Systems”