Search results for "Data Warehouse"

showing 10 items of 332 documents

Uncertainty in urban stormwater quality modelling: The influence of likelihood measure formulation in the GLUE methodology

2009

In the last years, the attention on integrated analysis of sewer networks, wastewater treatment plants and receiving waters has been growing. However, the common lack of data in the urban water-quality field and the incomplete knowledge regarding the interpretation of the main phenomena taking part in integrated urban water systems draw attention to the necessity of evaluating the reliability of model results. Uncertainty analysis can provide useful hints and information regarding the best model approach to be used by assessing its degrees of significance and reliability. Few studies deal with uncertainty assessment in the integrated urban-drainage field. In order to fill this gap, there ha…

Quality ControlUrban-drainage integrated approachEngineeringEnvironmental EngineeringRainWater supplyRisk AssessmentField (computer science)Water SupplyWater MovementsEnvironmental ChemistryUncertainty assessmentSensitivity analysisCitiesGLUEWaste Management and DisposalReliability (statistics)Uncertainty analysisSelection (genetic algorithm)Measure (data warehouse)SewageSettore ICAR/03 - Ingegneria Sanitaria-Ambientalebusiness.industryWater PollutionSettore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaUncertaintyEnvironmental engineeringGeneralised likelihood uncertainty estimationModels TheoreticalPollutionWater qualityItalyRisk analysis (engineering)businessEnvironmental MonitoringScience of The Total Environment
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Evaluation of routing policies using an interval-valued TOPSIS approach for the allocation rules

2021

Abstract The success of warehouse management in a supply chain widely depends on an efficient and effective retrieve of customer orders, which is known as the picking process. This paper investigates various routing policies of pickers under two different allocation methods of items in a warehouse of fixed layout, and evaluates their performance in terms of the resulting travel distance by means of a simulation approach. The allocation strategies taken into account are the random storage and a multi-criteria approach, called Interval-Value TOPSIS (IV-T), which is expressively proposed in this paper as a new way to solve the storage allocation problem of items in a warehouse. Because of the …

Random allocationMeasure (data warehouse)021103 operations researchGeneral Computer ScienceOperations researchProcess (engineering)Warehouse managementComputer scienceInterval-value TOPSIS; Picking; Simulation; Storage allocation; warehouse ManagementSupply chain0211 other engineering and technologiesGeneral EngineeringTOPSISStorage allocation02 engineering and technologyPickingInterval valued0202 electrical engineering electronic engineering information engineeringInterval-value TOPSIS020201 artificial intelligence & image processingRouting (electronic design automation)warehouse ManagementSimulation
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Multidimensional Model Design using Data Mining: A Rapid Prototyping Methodology

2017

[Departement_IRSTEA]Ecotechnologies [TR1_IRSTEA]MOTIVE; International audience; Designing and building a Data Warehouse (DW), and associated OLAP cubes, are long processes, during which decision-maker requirements play an important role. But decision-makers are not OLAP experts and can find it difficult to deal with the concepts behind DW and OLAP. To support DW design in this context, we propose: (i) a new rapid prototyping methodology, integrating two different DM algorithms, to define dimension hierarchies according to decision-maker knowledge; (ii) a complete UML Profile, to define a DW schema that integrates both the DM algorithms; (iii) a mapping process to transform multidimensional …

Rapid prototypingData WarehouseUml ProfileComputer scienceEvolution02 engineering and technologycomputer.software_genreData WarehousesMethodologies and Tools020204 information systemsSchema (psychology)0202 electrical engineering electronic engineering information engineeringData Mining[INFO]Computer Science [cs]Conceptual-ModelOLAPOnline analytical processingInformationSystems_DATABASEMANAGEMENTUml profileClassificationData warehouseMultidimensional modelSupport vector machineHardware and Architecture020201 artificial intelligence & image processingData miningcomputerSupport-Vector-MachineSoftware
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A Methodology and Tool for Rapid Prototyping of Data Warehouses Using Data Mining: Application to Birds Biodiversity

2014

Data Warehouses (DWs) are large repositories of data aimed at supporting the decision-making process by enabling flexible and interactive analyses via OLAP systems. Rapid prototyping of DWs is necessary when OLAP applications are complex. Some work about the integration of Data Mining and OLAP systems has been done to enhance OLAP operators with mined indicators, and/or to define the DW schema. However, to best of our knowledge, prototyping methods for DWs do not support this kind of integration. Then, in this paper we present a new prototyping methodology for DWs, extending [3], where DM methods are used to define the DW schema. We validate our approach on a real data set concerning bird b…

Rapid prototypingDatabaseComputer scienceOnline analytical processingSchema (psychology)InformationSystems_DATABASEMANAGEMENTData miningcomputer.software_genrecomputerData warehouse
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Is there a formula for formulaic language?

2015

AbstractThis paper focuses on detecting and measuring traces of "formulaic language". For this purpose, we test a number of computational formulae that quantify the degree to which a text type incorporates inflexible sequences of words. We assess these candidate indices using a number of reference corpora representing a wide variety of text types, both routine and creative. We adopt the concept of "phrase-frame" proposed by Fletcher (2002–2007) as a means of exploring phraseological pattern variability. To date, there have been few studies explicitly addressing this issue, with the exception of Roemer (2010). We examine ten productivity indices, including Roemer's VPR, the Herfindahl-Hirsch…

Register (sociolinguistics)Measure (data warehouse)Index (publishing)PhraseologyText typesVariety (linguistics)Productivity (linguistics)LinguisticsMathematicsTerm (time)Poznan Studies in Contemporary Linguistics
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Urbanisation and Urban Regionalisation Processes in the Metropolitan Area of Palermo

2021

This article provides empirical evidence that helps to answer several key questions relating to the regionalisation processes in Southern European cities. Several studies have documented the effects produced by the urban regionalisation process, especially in terms of territorial resource consumptions and the formation of new territorial patterns, overlooking the evaluation of public information that has been lost in terms of space and prerogatives of public action in the new post- metropolitan urban space. Starting from this theoretical framework, the interpretation of the post-metropolitan transition of Palermo through the filter of living in its dual dimension of being the outcome of soc…

Resource (biology)Settore ICAR/20 - Tecnica E Pianificazione UrbanisticaRegionalisationContext (language use)Space (commercial competition)Settore ICAR/21 - UrbanisticaMetropolitan areaUrban sprawlGated communitiesGeographyUrbanizationRegional sciencePublic spaceDimension (data warehouse)Empirical evidence
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A reverse engineering approach to measure the deformations of a sailing yacht

2016

In this work, a multidisciplinary experience, aimed to study the permanent deformations of the hull of a regatta sailing yacht is described. In particular, a procedure to compare two different surfaces of the hull of a small sailing yacht, designed and manufactured at the University of Palermo, has been developed. The first one represents the original CAD model while the second one has been obtained by means of a reverse engineering approach. The reverse engineering process was performed through an automatic close-range photogrammetry survey, that has allowed to obtain very accurate measures of the hull, and a 3D modelling step by the well-known 3D computer graphics software Rhinoceros. The…

Reverse engineeringEngineeringProcess (engineering)Mechanical engineeringCADcomputer.software_genre03 medical and health sciences0302 clinical medicine3D computer graphics softwareHull0502 economics and businessGenerative algorithmReverse engineeringSettore ING-IND/15 - Disegno E Metodi Dell'Ingegneria IndustrialeMeasure (data warehouse)business.industry05 social sciences030206 dentistryPhotogrammetryCAE toolClose range photogrammetrySailing yachtSettore ICAR/17 - DisegnoCAE tools; Close range photogrammetry; Generative algorithms; Reverse engineering; Sailing yacht;businesscomputer050203 business & managementSettore ICAR/06 - Topografia E CartografiaMarine engineering
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Fuzzy Metric Approach to Aggregation of Risk Levels

2019

In this paper we propose a special construction of a general aggregation operator. The construction allows to aggregate fuzzy sets taking into account the distance between elements of the universe. We consider the case when fuzzy sets to be aggregated represent the risk level evaluation by several experts. We describe how the proposed construction could be applied for risk level assessment in the case when a strong fuzzy metric is used to characterize the similarity of objects under evaluation.

Risk levelTheoretical computer scienceOperator (computer programming)Similarity (network science)Computer scienceMetric (mathematics)Fuzzy setAggregate (data warehouse)Fuzzy logic
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Self-assessment application and learning in organizations: A special reference to the ontological dimension

2003

Quality management self-assessment is a powerful tool for management continuous improvement, and it may foster the process of learning in the organization. In this paper, we identify some links between self-assessment and learning. From the analysis of the learning processes at the three ontological levels--individual, group and organizational--and taking the contributions of Crossan et al. (1999) and Kim (1993) as a reference point, we propose a model of organizational learning. This model explicitly recognizes the importance of group level as a link between individual and organizational levels, and it can be employed in order to analyse the effect of self-assessment application at the dif…

Self-assessmentCooperative learningQuality managementKnowledge managementTotal quality managementbusiness.industryProcess (engineering)Computer scienceGeneral Business Management and AccountingOrganizational learningOperations managementDimension (data warehouse)businessAction learningTotal Quality Management & Business Excellence
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Does service quality matter in measuring the performance of water utilities?

2008

Abstract Quality is a dimension of water services that has been repeatedly omitted in the study of performance of water utilities. In this paper, Data Envelopment Analysis techniques are used to compute both conventional quantity-based and quality-adjusted scores of technical efficiency for a sample of Spanish water utilities. The key assumptions are that a lack of quality (bad quality) can be regarded as a bad output and the existence of a trade-off between quantity and quality. Our main results indicate that quality matters in measuring technical efficiency, the difference between conventional and quality-adjusted evaluations representing the opportunity cost of maintaining quality. Avera…

Service qualityActuarial scienceOpportunity costSociology and Political Sciencebusiness.industrymedia_common.quotation_subjectRank (computer programming)Sample (statistics)Water industryManagement Monitoring Policy and LawDevelopmentEnvironmental economicsData envelopment analysisEconomicsQuality (business)Business and International ManagementDimension (data warehouse)businessmedia_commonUtilities Policy
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