Rough Sets
International Joint Conference, IJCRS 2020, Havana, Cuba, June 29 – July 3, 2020, Proceedings
Seiten
2020
|
1st ed. 2020
Springer International Publishing (Verlag)
978-3-030-52704-4 (ISBN)
Springer International Publishing (Verlag)
978-3-030-52704-4 (ISBN)
The volume LNAI 12179 constitutes the proceedings of the International Joint Conference on Rough Sets, IJCRS 2020, which was due to be held in Havana, Cuba, in June 2020. The conference was held virtually due to the COVID-19 pandemic.
The 37 full papers accepted were carefully reviewed and selected from 50 submissions. The papers are grouped in the following topical sections: general rough sets; three-way decision theory; attribute reduction; granular computing; formal concept analysis; data summarization; community detection; fuzzy cognitive maps; tutorials.
The 37 full papers accepted were carefully reviewed and selected from 50 submissions. The papers are grouped in the following topical sections: general rough sets; three-way decision theory; attribute reduction; granular computing; formal concept analysis; data summarization; community detection; fuzzy cognitive maps; tutorials.
General Rough Sets.- Three-Way Decision Theory.- Attribute Reduction.- Granular Computing.- Formal Concept Analysis.- Data Summarization.- Community Detection.- Fuzzy Cognitive Maps.- Tutorials.
Erscheinungsdatum | 05.07.2020 |
---|---|
Reihe/Serie | Lecture Notes in Artificial Intelligence | Lecture Notes in Computer Science |
Zusatzinfo | XIV, 520 p. 202 illus., 38 illus. in color. |
Verlagsort | Cham |
Sprache | englisch |
Maße | 155 x 235 mm |
Gewicht | 813 g |
Themenwelt | Informatik ► Datenbanken ► Data Warehouse / Data Mining |
Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
Schlagworte | Applications • Artificial Intelligence • attribute reduction • Computer Networks • Computer Science • Computer systems • conference proceedings • Correlation Analysis • Databases • Data Mining • decision tables • Decision Theory • Fuzzy Logic • Fuzzy Sets • graph theory • Informatics • information systems • knowledge reduction • machine learning • Network Protocols • Research • Rough Set Theory • Signal Detection • Signal Processing • theoretical computer science |
ISBN-10 | 3-030-52704-2 / 3030527042 |
ISBN-13 | 978-3-030-52704-4 / 9783030527044 |
Zustand | Neuware |
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