Call for Special Issue and Workshop Papers

Except the main tracks, I would like to ask you to consider the submission to the special sessions and workshops. The papers accepted by special sessions and workshops will be evaluated by a rigorous reviewing process and published in the same proceedings as the main track. 

The authors are cordially invited either to submit regular research papers (10-15 pages long) or short papers (6 up to 8 pages long) formatted in Springer LNCS style. The submission Web page for IJCRS'2018 is: 

This year we have the following special sessions:

1) Special session on Rough Logics and Foundations of Rough Sets

Chairs: Mihir K. Chakraborty and Mohua Banerjee

Brief description: Almost three and a half decades are past since the inception of rough set theory by Z. Pawlak. The theory has had a significant impact, giving rise to an enormous body of work focussing on both theoretical aspects and applications.  It is high time now to look at the foundations of rough sets, and with that goal, a workshop is being proposed to deal with the philosophical, logical and other foundational aspects of rough set theory.

The scope of the workshop includes, but is not necessarily limited to, the following areas.

  • Philosophy of rough sets
  • Logics arising out of rough sets
  • Algebraic and topological foundations of rough sets
  • Category-theoretic foundations of rough sets
  • Issues on granulations
  • Foundations for applications of rough sets

2) Special Session on Rough Sets and Data Mining (RSDM 2018)

Chairs: Vo Bay, Nguyen Thi Thuy Loan    

Brief description: The special session will focus on the integration between rough sets and association rule mining. The topics include, but not limited to:

  • Rough sets and association rule mining,
  • Rough sets and classification systems,
  • Rough sets and clustering,
  • Rough sets and pattern mining,
  • Rough sets and text mining,
  • Feature selection,
  • New Approaches to Data Mining

3) Special Session on Rough Sets, Fuzzy sets and Uncertainty 
    (on preparation) 

And the following workshops:

1) 6th Workshop on Three-way Decision, Uncertainty and Granular Computing

Chairs: Hong Yu, Yinhai Li, Georg Peters, Yan Zhang

The workshop will focus on the interaction and integration of three-way decisions, theories of uncertainty and granular computing. We warmly invite you to participate by submitting and presenting original and unpublished research work.  The topics include, but not limited to:

  • Three-way decisions and rough sets
  • Three-way decisions and granular computing
  • Three-way formal concept analysis
  • Three-way game-theoretic rough sets
  • Three-way decisions and interval sets
  • Three-way decisions and fuzzy sets 
  • Three-way decision clustering
  • Three-way rule induction
  • Data mining based on three-way decisions
  • Approximate and uncertain reasoning
  • Uncertainty and granular computing
  • Uncertainty and quotient space model  

2) Big Data: Models, Challenges and Future Significance for Digital Society

Chair: Bineet Kumar Gupta

Due to the rapid growth of digital data by digital society there has been a continuous need to update processes in the area of E-Business world, real time Health monitoring system, social media control and linkage of machine learning with real-time operational intelligence. There are several identified challenges to analyze, monitor and control Big Data issues. The goal of this session is to introduce core concepts of large-scale machine learning and discuss scalable techniques for analyzing large amounts of data and their applications in health, social welfare, security & control etc.  

This workshop will fill the gap of present struggles and available educational literature in different areas of Big Data applications and their management. With its specific focus on Big Data fundamentals and its applications in many kind of intelligence, this program would be of interest to educators, technocrats, young scholars, and students of UG & PG level.

Workshop would be devoted to the ensemble methods addressing classification, prediction, and clustering problems and their application to Big Data and small data sets as well as data management.

3) Second International Workshop on Machine Learning and Applications

Chairs: Ha Quang Thuy, Phan Xuan Hieu, Nguyen Anh Linh, Nguyen Minh Le

The workshop invites researchers and scientists to submit their high-quality, original works in methods, techniques, and applications of machine learning and data mining for data science. The topics include, but not limited to:

  • Statistical machine learning
  • Deep learning and neuron network methods
  • Transfer learning, reinforcement learning, and incremental learning
  • Lifelong machine learning
  • Feature/dimension reduction methods in machine learning and data mining
  • Evaluation measures in machine learning
  • Description logic-based learning methods
  • Text – web mining and natural language processing
  • Social media data mining and online reputation management
  • Process mining and business process management
  • Opinion mining and customer relation management
  • Fuzzy-rough set methods in data mining