Incremental approaches for heterogeneous feature selection in dynamic ordered data

DOI10.1016/j.ins.2020.06.051zbMath1475.68294OpenAlexW3041176616MaRDI QIDQ2053841

Tianrui Li, Binbin Sang, Hongmei Chen, Hong Yu, Wei-Hua Xu

Publication date: 30 November 2021

Published in: Information Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ins.2020.06.051

zbMATH Keywords

feature selectiondominance-based neighborhood rough setheterogeneous ordered decision systemmatrix-based incremental algorithm

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Learning and adaptive systems in artificial intelligence (68T05) Computational aspects of data analysis and big data (68T09)

Related Items

An ordered feature recognition method based on ranking separability, Fuzzy information entropy-based adaptive approach for hybrid feature outlier detection, Incremental rough reduction with stable attribute group, Attribute reduction based on overlap degree and \(k\)-nearest-neighbor rough sets in decision information systems, A dynamic rule-based classification model via granular computing, Incremental updating probabilistic approximations under multi-level and multi-dimensional variations in hybrid incomplete decision systems

Uses Software

• WEKA

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