Scope

Cognitive Computing provides detailed guidance toward building a new class of systems that learn from experience and derive insights to unlock the value of big data. Cognitive computing is the creation of self-learning systems that use data mining, pattern recognition, and natural language processing (NLP) to mirror the way the human brain works. The purpose of cognitive computing is to create computing systems that can solve complicated problems without constant human oversight. Today′s cognitive computing solutions indicate an intelligent infrastructure that enables a new generation of customer and smart applications in all industries.

Professionals who currently work with big data and analytics will see how cognitive computing builds on their foundation and creates new opportunities. Cognitive Computing provides complete guidance to this new level of human-machine interaction. This International Conference focused cognitive computing technologies, from knowledge representation techniques and natural language processing algorithms to dynamic learning approaches.

Topics

We seek novel, innovative, and exciting work in areas including but not limited to:

    Data Science for Cognitive Analysis
    Real-Time Ubiquitous Data Science
    Platform for Privacy Preserving Data Science
    Internet-Based Cognitive Platform
    Social Data Relationship Ranking on the Internet
    Data Applications of Cognitive Communication
    Statistics, data filtering to decide what data to keep and informative aspects
    Machine Learning and Big Data
    Big Algorithms and Software Development
    Smart Grid Cyber Security Data Analysis
    Smart City Initiative and Big Applications
    Natural Language Generation
    Sustainable Computer and Communication Model
    Knowledge Engineering, Representation and Extraction
    Decision Making under Uncertainty
    Cloud Big Computing Services
    Scalable Data Management Systems
    Future Advancements

Publication

All registered papers will be published by Springer and made available through European Union Digital Library (EUDL)..

Proceedings will be submitted for inclusion in leading indexing services, including Ei Compendex, ISI Web of Science, Scopus, CrossRef, Google Scholar, DBLP, as well as EAI’s own EU Digital Library (EUDL).

All accepted authors are eligible to submit an extended version in a fast track of:

    Mobile Networks and Applications (MONET) Journal (IF: 2.497)
    IEEE – Big Data Mining and Analytics
    International Journal of Cloud Computing (Scopus Indexed)
    International Journal of Vehicle Information and Communication Systems (Scopus Indexed)
    International Journal of Enterprise Network Management (Scopus Indexed)

Additional publication opportunities:

    EAI Transactions series (Open Access)
    EAI/Springer Innovations in Communications and Computing Book Series