Special session within the 12th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2020) December 15-18, 2020, online
http://www.mirlabs.net/socpar20/


Web Economy refers to an economy that is based on digital computing technologies. It is also referred to as the Internet Economy, New Economy, or Digital Economy. It results from billions of everyday online connections among people, businesses, intelligent devices (IoT), data, and processes. The amount of available data grows exponentially and traditional data analysis techniques are unsuitable to extract useful information from such vast amounts of data; thus, intelligent data analysis methods combining human expertise and computational models for accurate and in-depth data analysis are necessary. Computational intelligence (CI) methods such as fuzzy models, artificial neural networks, evolutionary algorithms, and probabilistic methods have recently emerged as promising tools for the development and application of intelligent systems for Web Economy. CI-based systems can learn from data and evolve according to changes in the environments by taking into account the uncertainty characterizing health data and processes. The use of CI for Web Economy can improve the management of economic and behavioral data by introducing intelligent solutions for prediction, network analysis, anomaly detection, opinion mining, as well for analysis of administrative processes.

This Special Session will publish original research, overviews, and applications of CI methods for Web Economy. Areas of interest include, but are not limited to the following:

Fuzzy logic and fuzzy models for Web Economy
Evolutionary computing for Web Economy
Artificial neural networks for Web Economy
Fuzzy time series for Web Economy
Probabilistic models for Web Economy
Big data analytics for Web Economy
Stream Data Mining for Web Economy
Data mining for Web Economy
Pattern recognition for Web Economy
Fuzzy linguistic descriptions for Web Economy
Blockchain for Web Economy
Applications (Anomaly Detection, Credit Card Fraud Detection, Stock Price Prediction, Mobile Social commerce, E-Banking Failure, Customer Behavior analysis, Sentiment analysis, Micropayment Systems, etc.)

Important Dates:
Paper submission due: October 15, 2020
Notification of paper acceptance: November 15, 2020
Registration and Final manuscript due: November 25, 2020


Submissions:
All submissions must be made electronically by October 15, 2020, through the online submission system EasyChair https://easychair.org/conferences/?conf=socpar2020
Contributions must be in English, must be formatted according to Springer format and should not exceed 10 pages.
Accepted papers will be published in the Springer proceedings that are expected to be published by: Advances in Intelligent and Soft Computing, which is now indexed by ISI Proceedings, DBLP. Ulrich's, EI-Compendex, SCOPUS, Zentralblatt Math, MetaPress, Springerlink.
Authors of selected papers will be invited to submit extended versions for possible inclusion in special issues of international journals.
At least one author of accepted papers must be registered for inclusion in the conference proceedings.

Special session Organizers:
Dr. Gabriella Casalino (University of Bari, Italy), gabriella.casalino@uniba.it
Dr. Mohd Abdul Ahad (Jamia Hamdard, New Delhi, India) , itsmeahad@gmail.com
Dr. Katarzyna Kaczmarek-Majer (Polish Academy of Sciences, Poland), k.kaczmarek@ibspan.waw.pl
Dr. Chinmay Chakrabarty (Birla Institute of Technology, Mesra, India), cchakrabarty@bitmesra.ac.in

Welcome to contribute! For any inquiries please contact one of the organizers.