Advances in feature selection for data and pattern recognition. ([2018])

• Record Type: Book
• Further Information: Note: Urszula Stańczyk, Beata Zielosko, Lakhmi C. Jain, editors.
• Editors: Stańczyk, Urszula; Zielosko, Beata; Jain, L. C
• Contents: An Introduction -- Attribute Selection Based on Reduction of Numerical Attribute During Discretization -- Improving Bagging Ensembles for Class Imbalanced Data by Active Learning -- Optimization of Decision Rules Relative to Length Based on Modified Dynamic Programming Approach -- Ranking-Based Rule Classifier Optimisation -- Attribute Selection in a Dispersed Decision-Making System -- Feature Selection Approach for Rule-based Knowledge Bases -- Feature Selection with a Genetic Algorithm for Classification of Brain Imaging Data.
• Publisher Details: Cham : Springer
• Publication Date: 2018
• Extent: 1 online resource (334 pages)
• Subjects: 006.4; Engineering; Pattern recognition systems; COMPUTERS -- General; Pattern recognition systems; Engineering; Computational Intelligence; Artificial Intelligence (incl. Robotics); Pattern Recognition; Data Mining and Knowledge Discovery; Computers -- Intelligence (AI) & Semantics; Computers -- Computer Vision & Pattern Recognition; Computers -- Database Management -- Data Mining; Artificial intelligence; Pattern recognition; Data mining; Artificial intelligence; Optical pattern recognition; Data mining; Electronic books
• Languages: English
• ISBNs: 9783319675886; 3319675885
• Related ISBNs: 9783319675879; 3319675877
• Notes: Note: Print version record.
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.