Local and Global Approaches to Study of Decision and Inhibitory Trees and Rule Systems
KAUST DepartmentApplied Mathematics and Computational Science Program
Computational Bioscience Research Center (CBRC)
Computer Science Program
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Office of the VP
Permanent link to this recordhttp://hdl.handle.net/10754/653086
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AbstractThis chapter is devoted to the study of time complexity of decision and inhibitory trees and rule systems over arbitrary sets of attributes represented by information systems.
CitationAlsolami F, Azad M, Chikalov I, Moshkov M (2019) Local and Global Approaches to Study of Decision and Inhibitory Trees and Rule Systems. Intelligent Systems Reference Library: 245–269. Available: http://dx.doi.org/10.1007/978-3-030-12854-8_15.