Search results for "Mining"

showing 10 items of 1730 documents

On the importance of perspective and flexibility for efficiency measurement: effects on the ranking of decision-making units

2017

[EN] The efficiency of a firm can be assessed from several perspectives and using a variety of methodologies. Data envelopment analysis (DEA) is one of the most commonly used methodologies. Conventional DEA analyses or models allow one to classify decision-making units (DMUs) into efficient and inefficient ones based on their efficiency scores, which could also be used for ranking DMUs; however, such rankings generally show many ties. Super-efficiency DEA analyses have been proposed to address the tie issue. On the other hand, conventional DEA analyses only take account of a single perspective in estimating efficiency scores. Cross-efficiency DEA analyses provide an alternative that takes a…

Operations researchStrategy and Management0211 other engineering and technologies02 engineering and technologyManagement Science and Operations Researchcomputer.software_genreFuzzy logicManagement Information SystemsDEAOrder (exchange)Robustness (computer science)0202 electrical engineering electronic engineering information engineeringEconomicsData envelopment analysisTOPSISMarketingFlexibility (engineering)021103 operations researchTOPSISVariety (cybernetics)Fuzzy logicRanking methodsRankingCross-efficiency020201 artificial intelligence & image processingData miningMATEMATICA APLICADAcomputerJournal of the Operational Research Society
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IOWA Operators and Its Application to Image Retrieval

2014

This paper presents a relevance feedback procedure based on logistic regression analysis. Since, the dimension of the feature vector associated to each image is typically larger than the number of evaluated images by the user, different logistic regression models have to be fitted separately. Each fitted model provides us with a relevance probability and a confidence interval for that probability. In order to aggregate these set of probabilities and confidence intervals we use an IOWA operator. The results will show the success of our algorithm and that OWA operators are an efficient and natural way of dealing with this kind of fusion problems.

Operator (computer programming)Feature vectorRelevance feedbackRelevance (information retrieval)Data miningLogistic regressioncomputer.software_genreContent-based image retrievalcomputerImage retrievalConfidence intervalMathematics
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Prepapillary venous loops and choroidal veins tortuosity

2003

OphthalmologyText miningbusiness.industryMedicineAnatomybusinessTortuosityActa Ophthalmologica Scandinavica
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Medikamentöse Glaukomtherapie

2006

Ophthalmologymedicine.medical_specialtyText miningPharmacotherapybusiness.industryMedicineGlaucomabusinessmedicine.diseaseIntensive care medicineKlinische Monatsblätter für Augenheilkunde
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Metástasis coroidea de adenocarcinoma pulmonar estudiada mediante angiografía por tomografía de coherencia óptica

2020

Ophthalmologymedicine.medical_specialtyText miningbusiness.industryOphthalmologyMedicinebusinessmedicine.diseaseMetastasisArchivos de la Sociedad Española de Oftalmología
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Multidimensional scaling and stock location assignment in a warehouse: an application

1999

By means of an application, in the present paper, the suitability of a multivariate statistical methodology, as multidimensional scaling (MDS), to solve an optimization problem is shown. In particular, considering the stock location assignment problem in the warehouse of a supermarket chain, the solution gained by applying MDS to a set of seven variables is compared with the one obtainable by considering the usual techniques applied in this context. A wide discussion of results is reported. Copyright © 1999 John Wiley & Sons, Ltd.

Optimization problemComputer scienceModeling and SimulationData miningMultidimensional scalingManagement Science and Operations ResearchMultivariate statisticalcomputer.software_genreGeneral Business Management and AccountingAssignment problemcomputerStock (geology)WarehouseApplied Stochastic Models in Business and Industry
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Combined Elephant Herding Optimization Algorithm with K-means for Data Clustering

2018

Clustering is an important task in machine learning and data mining. Due to various applications that use clustering, numerous clustering methods were proposed. One well-known, simple, and widely used clustering algorithm is k-means. The main problem of this algorithm is its tendency of getting trapped into local minimum because it does not have any kind of global search. Clustering is a hard optimization problem, and swarm intelligence stochastic optimization algorithms are proved to be successful for such tasks. In this paper, we propose recent swarm intelligence elephant herding optimization algorithm for data clustering. Local search of the elephant herding optimization algorithm was im…

Optimization problemComputer sciencebusiness.industryk-means clustering020206 networking & telecommunications02 engineering and technologycomputer.software_genreSwarm intelligence0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingStochastic optimizationLocal search (optimization)Data miningHerdingbusinessCluster analysiscomputerMetaheuristic
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Correlation, hierarchies, and networks in financial markets

2010

We discuss some methods to quantitatively investigate the properties of correlation matrices. Correlation matrices play an important role in portfolio optimization and in several other quantitative descriptions of asset price dynamics in financial markets. Specifically, we discuss how to define and obtain hierarchical trees, correlation based trees and networks from a correlation matrix. The hierarchical clustering and other procedures performed on the correlation matrix to detect statistically reliable aspects of the correlation matrix are seen as filtering procedures of the correlation matrix. We also discuss a method to associate a hierarchically nested factor model to a hierarchical tre…

Organizational Behavior and Human Resource ManagementEconomics and EconometricsPhysics - Physics and SocietyCorrelation based networkKullback–Leibler divergenceStability (learning theory)FOS: Physical sciencesKullback–Leibler distancePhysics and Society (physics.soc-ph)computer.software_genreHierarchical clusteringFOS: Economics and businessCorrelationMultivariate analysis Hierarchical clustering Correlation based networks Bootstrap validation Factor models Kullback–Leibler distancePortfolio Management (q-fin.PM)Bootstrap validationQuantitative Finance - Portfolio ManagementMathematicsFactor analysisStatistical Finance (q-fin.ST)Covariance matrixMultivariate analysiQuantitative Finance - Statistical FinanceHierarchical clusteringFactor modelTree (data structure)Physics - Data Analysis Statistics and ProbabilityData miningPortfolio optimizationcomputerData Analysis Statistics and Probability (physics.data-an)
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Assaying multiple 125 I seeds with the well-ionization chamber SourceCheck 4π 33005 and a new insert

2015

PURPOSE To provide a practical solution that can be adopted in clinical routine to fulfill the AAPM-ESTRO recommendations regarding quality assurance of seeds used in prostate permanent brachytherapy. The aim is to design a new insert for the well-ionization chamber SourceCheck(4π) 33005 (PTW, Germany) that allows evaluating the mean air-kerma strength of up to ten (125)I seeds with one single measurement instead of measuring each seed individually. MATERIAL AND METHODS The material required is: a) the SourceCheck(4π) 33005 well-ionization chamber provided with a PTW insert to measure the air-kerma strength S K of one single seed at a time; b) a newly designed insert that accommodates ten s…

Original Paperprostatebusiness.industrybrachytherapySingle measurementMean valueAnalytical chemistryfood and beveragesinsertquality assuranceseedsClinical routinecomputer.software_genreInsert (molecular biology)Calibration coefficientOncologyIonization chamberMedicineRadiology Nuclear Medicine and imagingData miningbusinesscomputerwell chamberJournal of Contemporary Brachytherapy
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A new technique to determine vertical dimension of occlusion from anthropometric measurement of interpupillary distance

2014

Background: A number of techniques are being practiced for the evaluation of VDO, but none of them is scientifically more accurate than other. Each method advocated has its own limitations. Objectives: The purpose of this study was to find correlation between vertical dimension of occlusion (VDO) and interpupillary distance (IPD). Material and Methods: A cross-sectional study was conducted on 400 dentate subjects comprising of 200 males and 200 females. Anthropometric measurement of VDO was recorded clinically using modified digital vernier caliper. Also, a standardized digital photograph of face was generated from the frontal aspect using a digital camera for the measurement of IPD in mill…

OrthodonticsProsthetic DentistryVertical dimension of occlusionbusiness.industryResearchRegression analysisOdontologíaAnthropometrycomputer.software_genre:CIENCIAS MÉDICAS [UNESCO]bacterial infections and mycosesCiencias de la saludWeak correlationCorrelationStandard errorUNESCO::CIENCIAS MÉDICASCalipersMedicineInterpupillary distanceData miningbusinessGeneral Dentistrycomputer
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