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Neural Computing and Applications > 2019 > 31 > 8 > 4287-4303
Lecture Notes in Computer Science > New Directions in Rough Sets, Data Mining, and Granular-Soft Computing > Rough Computing: Foundations and Applications > 47-54
Lecture Notes in Computer Science > Rough Sets and Current Trends in Computing > Machine Learning: Methodologies and Algorithms > 366-375
Lecture Notes in Computer Science > Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing > Intelligent and Sapient Systems > 709-718
Lecture Notes in Computer Science > Rough Sets and Knowledge Technology > Dominance-Based Rough Set Approach > 244-251
Lecture Notes in Computer Science > Rough Sets, Fuzzy Sets, Data Mining and Granular Computing > Fuzzy-Rough Hybridization > 79-86
Lecture Notes in Computer Science > MICAI 2002: Advances in Artificial Intelligence > Machine Learning > 311-320
Lecture Notes in Computer Science > Hybrid Artificial Intelligence Systems > Cluster Analysis > 187-194
Lecture Notes in Computer Science > Rough Set and Knowledge Technology > Health Informatics and Biometrics Authentication > 411-418
Lecture Notes in Computer Science > Transactions on Rough Sets I > Rough Sets – Applications > 338-355
Lecture Notes in Computer Science > Advances in Data Mining. Applications and Theoretical Aspects > Data Mining in Medicine > 121-133
Lecture Notes in Computer Science > Rough Sets and Current Trends in Computing > Clustering > 580-585
Lecture Notes in Computer Science > Rough Sets and Knowledge Technology > Fuzzy-Rough Hybridization > 284-291
Studies in Computational Intelligence > Rough Set Theory: A True Landmark in Data Analysis > Rough Set Data Mining Activities > 213-231
Lecture Notes in Computer Science > Rough Sets and Current Trends in Computing > Ontology and Mereology > 547-556
Lecture Notes in Computer Science > Rough Sets and Intelligent Systems Paradigms > Hybrid Methods and Applications > 630-638