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18 results with keyword: 'missing data imputation using fuzzy rough methods'

Missing data imputation using fuzzy-rough methods

In this paper we have introduced several methods to impute missing values based on fuzzy-rough sets combined with the nearest neighbor algorithm.. This way, one can

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2021
Attribute Reduction With Imputation Of Missing Data Using Fuzzy Rougsh Set

Fuzzy rough attribute reduction with imputation (FRARI) algorithm has been proposed for attribute reduction with missing value imputation using fuzzy rough set

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6
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2020
Imputation with the R Package VIM

plore and analyze the structure of missing values in data using visualization methods, to impute these missing values with the built-in imputation methods and to verify the

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2021
ANZ Transactive Browser Preparation

• Select the Trusted sites icon and then click the Custom Level button.. • Ensure that the following controls are set

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11
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2021
Hippotizer Hardware and Software Specifications

• Shall include two Display Port 1.2 video outputs: one dedicated for control (Zookeeper) and the other for production output.. • System shall be comprised of an AMD-based

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2022
OIL AND THE NORWEGIAN ECONOMY GOVERNOR ØYSTEIN OLSEN NTNU, 29 SEPTEMBER 2015

Construction Retail trade Commercial services Household services January 2015 May 2015 August 2015 35% of total business sector..

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2021
Vehicle & Pedestrian Signals

Additionally, prior to bid award, the manufacturer shall submit to purchaser, reports from ETL/Intertek, that certify full compliance of all LED ball signal modules to the entire

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110
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2022
"NON-REVIEWED"108JOURNAL OF WEATI IER MODIFICATION

The documented, though sometimes disputed, successes of these pro- grams induced authors of the 1995 update of the OCWP to recommend that the State of Oklahoma identify

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6
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2022
Basic Minimal Total Dominating Functions of Quadratic Residue Cayley Graphs

In this paper we study the minimal total dominating functions and basic minimal total dominating functions (BMTDFs) of quadratic residue Cayley graphs and results

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2020
Diagnosis of Coronary Artery Disease Using Artificial Intelligence Based Decision Support System

This chapter describes the detailed methods and design of the missing data imputation and evaluations, the rule generation method based on rough set theory, the rule

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2021
A New approach for Solving Transportation Problem

Suppose there are m factories called origins or sources produce aI (i=1,2……,m) units of products which are to be transported to n destinations with bJ (J=1,2,……,n) unity of

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5
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2020
Dealing with missing data in the Center for Epidemiologic Studies Depression self-report scale: a study based on the French E3N cohort

The prevalence of high depressive symptoms (score ≥ 16, hDS) was estimated after applying various methods for ignorable missing data including multiple imputation using

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2020
Predictive Modeling for Developmental Toxicity of Engineered Nanomaterials.

CHAPTER 2: Characterizing the Effects of Missing Data and Evaluating Imputation Methods for Chemical Prioritization Applications using ToxPi .... Data

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2020
JOURNAL OF LAWS OF THE REPUBLIC OF POLAND

The foreigner applying for issuing the permit referred to in Article 3e of the Act, in case where the company, whose shares or stocks are to be acquired, taken up

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2021
Implementation of national History and Geography curriculum initiatives by a regional Queensland secondary social science department: actants, agency, and  curriculum change

Implementation of National History and Geography Curriculum Initiatives by a Regional Queensland Secondary Social Science Department: Actants, Agency, and Curriculum Change

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366
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2019
Multiple imputation for handling missing outcome data when estimating the relative risk

Focusing on standard model-based methods of multiple imputation, missing data were imputed using multivariate normal imputation or fully conditional specification with a

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2020
HANDLING MISSING DATA IN CLINICAL TRIALS: AN OVERVIEW

Key Words: Clinical trials; Missing data; Dropouts; Imputation methods; Missing-data mechanism.. INTRODUCTION trials can produce biased

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2021
Rough and Fuzzy-rough methods for mammographic data analysis

This paper proposes new techniques for classification using rough sets, and fuzzy-rough sets and applied to this mammographic data, incorporating a fuzzy- rough feature

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2021

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