Published 19.09.2018

IET CAAI Transactions on Intelligence Technology - Call for Papers

Rough Sets and Data Mining



Editors-in-Chief: Cesare Alippi, Politecnico di Milano, Italy
Hong Liu, Peking University, PR China


Research on data mining using rough sets is widely spreading, and the obtained association rules are applied to characterisation of data, decision support, and so on. The rough set research that started with the use of equivalence classes defined in the table data has recently expanded to granularity calculation, which is a broader concept. Rough sets and granular computing provide a framework to adjust the granularity of information according to purpose. On the other hand, the progress of artificial intelligence technology seen in deep learning in recent years is remarkable. This Special Issue summarises the latest research trends of rough sets, granularity calculation and data mining, and invites fundamental research and applied research towards strengthening association with artificial intelligence.


Topics of interest include, but are not limited to:
• Rough sets, data mining, knowledge discovery
• Data mining and artificial intelligence applications
• Rule generation and implementation of rule generator
• Information granulation and granular cognitive computing
• Rough clustering and decision-theoretic rough sets
• Decision support systems, three-way decisions and rule-based systems
• Rough-set-based feature selection
• Uncertain and approximate reasoning
• Web mining and text mining
• Machine learning, pattern recognition, knowledge engineering and representation
• Internet of Things and big data processing



Submit your paper to manuscript submission and peer review site via the following link:



Proposed publication schedule:


Submission Deadline:
01 February 2019

Publication Date:
December 2019





Cesare Alippi

Politecnico di Milano


Hong Liu

Peking University

PR China



Guest Editors:

Hiroshi Sakai
Kyushu Institute of Technology


Michinori Nakata
Josai International University


Wei-Zhi Wu
Zhejiang Ocean University


Duoqian Miao
Tongji University, PRChina


Guoyin Wang
Chongqing University of Post and
Telecommunications, PR China




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