IF-EMD-SPA: An Information Flow-Based Neighborhood Rough Set Approach for Attribute Reduction
Applied SciencesHigh-dimensional mixed data often lack a unified semantic representation for continuous and discrete attributes, which hinders mixed-attribute similarity modeling and can result in unstable reducts and overfitting in existing neighborhood rough set (NRS)
Chunying Zhang +4 more
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A Novel Neighborhood Rough Set-Based Feature Selection Method and Its Application to Biomarker Identification of Schizophrenia. [PDF]
IEEE J Biomed Health Inform, 2023 Xing Y +5 more
europepmc +1 more source
N.C.N.C.R. (Newark Commission for Neighborhood Conservation and Rehabilitation)
, 1958 The objective of the Newark Commission for Neighborhood Conservation and Rehabilitation (NCNCR) is better housing for all of the people of Newark through law enforcement, slum clearance, neighborhood conservation, additional housing, rehabilitation and ...
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New Online Streaming Feature Selection Based on Neighborhood Rough Set for Medical Data
, 2020 Not all features in many real-world applications, such as medical diagnosis and fraud detection, are available from the start. They are formed and individually flow over time.
Lei, Yuan, Liang, Hu
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Advanced Engineering Materials, EarlyView.Geometry‐driven thermal behavior in wire‐arc additive manufacturing (WAAM) influences microstructural evolution during nonequilibrium solidification of a chemically complex Fe–Cr–Nb–W–Mo–C nanocomposite system. By comparing different deposits configurations, distinct entropy–cooling rate correlations, segregation, and carbide evolution are revealed ...
Blanca Palacios +5 more
wiley +1 more source
Parallel Attribute Reduction Algorithm for Complex Heterogeneous Data Using MapReduce
Complexity, 2018 Parallel attribute reduction is one of the most important topics in current research on rough set theory. Although some parallel algorithms were well documented, most of them are still faced with some challenges for effectively dealing with the complex ...
Tengfei Zhang +4 more
doaj +1 more source
Feature Selection for Partially Labeled Data Based on Neighborhood Granulation Measures
IEEE Access, 2019 As an effective feature selection technique, rough set theory plays an important part in machine learning. However, it is only applicable to labeled data.
Bingyang Li, Jianmei Xiao, Xihuai Wang
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FEATURE SELECTION APPLIED TO THE TIME-FREQUENCY REPRESENTATION OF MUSCLE NEAR-INFRARED SPECTROSCOPY (NIRS) SIGNALS: CHARACTERIZATION OF DIABETIC OXYGENATION PATTERNS [PDF]
, 2012 Diabetic patients might present peripheral microcirculation impairment and might benefit from physical training. Thirty-nine diabetic patients underwent the monitoring of the tibialis anterior muscle oxygenation during a series of voluntary ankle flexo ...
Balestra, Gabriella +3 more
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Advanced Engineering Materials, EarlyView.Copper‐based composites enhanced with carbon feature convenient mechanical properties and favorable electric conductivity. Processing via deformation and thermomechanical treatments can introduce advantageous microstructures further enhancing their performance. Herein, copper–graphene powder‐based composites are directly consolidated via rotary swaging
Radim Kocich +3 more
wiley +1 more source
Neighborhood Rough-Sets-Based Spatial Data Analytics
, 2018 Rough Set Theory partitions a universe using single layered granulation. The equivalence classes induced by rough sets are based on discretised values. Considering the fact that the spatial data are continuous at large, discretising them may cause loss ...
Sharmila Banu K., B. K. Tripathy
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