Information Entropy-Based Attribute Reduction for Incomplete Set-Valued Data
This paper investigates attribute reduction for incomplete set-valued data based on information entropy. The similarity degree between information values on a conditional attribute of an incomplete set-valued decision information system (ISVDIS) is first
Yuanxia Zhang, Zuozan Chen
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Towards Computing Attributions for Dimensionality Reduction Techniques
AbstractWe describe the problem of computing local feature attributions for dimensionality reduction methods. We use one such method that is well established within the context of supervised classification – using the gradients of target outputs with respect to the inputs – on the popular dimensionality reduction technique t-SNE, widely used in ...
Matthew Scicluna +4 more
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A Parallel Attribute Reduction Method Based on Classification
Parallel processing as a method to improve computer performance has become a development trend. Based on rough set theory and divide-and-conquer idea of knowledge reduction, this paper proposes a classification method that supports parallel attribute ...
Deguang Li, Zhanyou Cui
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NOx Emission Prediction of Coal Fired Utility Boiler Based on FAR-HK-ELM
A prediction method for NOx emission of coal-fired utility boiler based on FAR-HK-ELM was proposed by combining the Fast Attribute Reduction (FAR) and Hybrid Kernel Extreme Learning Machine (HK-ELM) algorithms.
Wenhua FU +4 more
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Rough set theory applied to pattern recognition of partial discharge in noise affected cable data [PDF]
This paper presents an effective, Rough Set (RS) based, pattern recognition method for rejecting interference signals and recognising Partial Discharge (PD) signals from different sources.
Hepburn, Donald M. +8 more
core +4 more sources
FEATURE SELECTION APPLIED TO THE TIME-FREQUENCY REPRESENTATION OF MUSCLE NEAR-INFRARED SPECTROSCOPY (NIRS) SIGNALS: CHARACTERIZATION OF DIABETIC OXYGENATION PATTERNS [PDF]
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 ...
Dash M. +10 more
core +1 more source
Attributes Reduction in Big Data [PDF]
Processing big data requires serious computing resources. Because of this challenge, big data processing is an issue not only for algorithms but also for computing resources. This article analyzes a large amount of data from different points of view.
Waleed Albattah +2 more
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Effective Hamiltonians with Relativistic Corrections I: The Foldy--Wouthuysen transformation versus the direct Pauli reduction [PDF]
Two different methods of obtaining ``effective $2\times 2$ Hamiltonians'' which include relativistic corrections to nonrelativistic calculations are discussed, the standard Foldy--Wouthuysen transformation and what we call the ``direct Pauli reduction''.
Alberico +33 more
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Coevolutionary Fuzzy Attribute Order Reduction With Complete Attribute-Value Space Tree [PDF]
Since big data sets are structurally complex, high-dimensional, and their attributes exhibit some redundant and irrelevant information, the selection, evaluation, and combination of those large-scale attributes pose huge challenges to traditional methods. Fuzzy rough sets have emerged as a powerful vehicle to deal with uncertain and fuzzy attributes in
Weiping Ding +2 more
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Research on Attribute Reduction Algorithm in Aquatic Product Safety Assessment System [PDF]
Aiming at the complexity and redundancy of the evaluation index in the aquatic product safety assessment system,a new attribute reduction algorithm based on attribute unimportance is proposed.The algorithm uses the method of fusing the positive region ...
E Xu,TAN Yan,LI Jianrong,MAO Meijing,YANG Mingjing
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