Search results for "Data warehouse"

showing 10 items of 332 documents

Startup Metrics That Tech Entrepreneurs Need to Know

2020

Metrics can be used by firms to make more objective decisions based on data. Software startups in particular are characterized by the uncertain or even chaotic nature of the contexts in which they operate. Using data in the form of metrics can help software startups to make the right decisions amid uncertainty and limited resources. However, whereas conventional business metrics and software metrics have been studied in the past, metrics in the specific context of software startups have not been studied. In this chapter, we present the results of a multivocal literature review to offer you 118 metrics practitioner experts think software startups should measure. These metrics can give you id…

Measure (data warehouse)SoftwareNeed to knowBusiness metricsComputer sciencebusiness.industryContext (language use)businessData scienceLimited resourcesSoftware metric
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A low cost and easy re-configurable instrument for power quality survey

2004

In this document the development of a low cost and user friendly PC-based instrument for power quality measurement is proposed, according to IEC 61000-4-7 and standard IEC 61000-4-30. It is an easily re-configurable instrument able to measure harmonics, interharmonics and amplitude disturbances and supply unbalance. In order to verify its accuracy, the instrument has been tested according standard test procedures, by means of a built-up calibration test bench.

Measure (data warehouse)Total harmonic distortionEngineeringUser Friendlybusiness.industryElectromagnetic compatibilityDiscrete Fourier transformsReliability engineeringspectral leakageHarmonicsCalibrationElectronic engineeringPower qualityFrequency estimationbusinessVoltageProceedings of the 21st IEEE Instrumentation and Measurement Technology Conference (IEEE Cat. No.04CH37510)
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Ranking of Brain Tumour Classifiers Using a Bayesian Approach

2009

This study presents a ranking for classifers using a Bayesian perspective. This ranking framework is able to evaluate the performance of the models to be compared when they are inferred from different sets of data. It also takes into account the performance obtained on samples not used during the training of the classifiers. Besides, this ranking assigns a prior to each model based on a measure of similarity of the training data to a test case. An evaluation consisting of ranking brain tumour classifiers is presented. These multilayer perceptron classifiers are trained with 1H magnetic resonance spectroscopy (MRS) signals following a multiproject multicenter evaluation approach. We demonstr…

Measure (data warehouse)Training setComputer sciencebusiness.industryPerspective (graphical)Bayesian probabilityPattern recognitionMachine learningcomputer.software_genreRanking (information retrieval)Random subspace methodSimilarity (network science)Multilayer perceptronArtificial intelligencebusinesscomputer
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The Monitoring and Advisory Functions of Corporate Boards

2018

The main objective of this chapter is to investigate the effects of advisory directors’ presence on the board’s overall effectiveness in value creation. To achieve this purpose, we first explore the channels through which this advisory measure influences firm value. Thus, the results suggest that the presence of at least one independent director principally committed to advising duties on the board leads to an increase in corporate innovation and a better acquisition performance. We then examine the effect of this measure on firm value. Our findings highlight that the presence of advisory directors on the board is associated with a significant increase in firm value, especially for highly i…

Measure (data warehouse)Value creationExecutive compensationbusiness.industryeducationEnterprise valueMergers and acquisitionsAccountingbusinesshealth care economics and organizationsCorporate innovation
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New method of grain-boundary extraction by directional optimal filtering: application to estimating creep in metals

2002

It is economically important for manufacturers of high- temperature machines to be able to measure creep so they can predict residual service life more accurately. This paper describes and refines an image analysis method for evaluating creep in laboratory test pieces. It is a preliminary study of how to extract relevant information for creep mea- surement by counting cavities. Sample preparation for quantification by image analysis is an important step determining the further development of the image analysis technique. Grain-boundary extraction, which in- volves directional information, is the major problem to be solved before measurement can be automated. The search for a crest-line extr…

Measure (data warehouse)business.industryComputer scienceGeneral EngineeringFilter (signal processing)Atomic and Molecular Physics and Opticssymbols.namesakeFourier transformWaveletCreepsymbolsGrain boundaryComputer visionArtificial intelligenceInstrumentation (computer programming)businessAlgorithmDigital filterLinear filterOptical Engineering
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Evaluation und interne Qualitätssicherung in der Allgemein- und Abdominalchirurgie

1997

The measuring of perioperative risk, the finding of intraoperative influences and the objective rating of quality of treatment were achieved by our program of quality assurance. With our system it is possible to measure differences between several surgeons and also differences in comparison to national and international results. Through optimised therapy the program can lead to an improvement of quality.

Measure (data warehouse)medicine.medical_specialtybusiness.industrymedia_common.quotation_subjectMedicineMedical physicsQuality (business)PerioperativebusinessQuality assurancemedia_common
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CCD characterization and measurements automation

2012

Abstract Modern mosaic cameras have grown both in size and in number of sensors. The required volume of sensor testing and characterization has grown accordingly. For camera projects as large as the LSST, test automation becomes a necessity. A CCD testing and characterization laboratory was built and is in operation for the LSST project. Characterization of LSST study contract sensors has been performed. The characterization process and its automation are discussed, and results are presented. Our system automatically acquires images, populates a database with metadata information, and runs express analysis. This approach is illustrated on 55 Fe data analysis. 55 Fe data are used to measure …

MetadataPhysicsNuclear and High Energy PhysicsMeasure (data warehouse)business.industryReal-time computingVolume (computing)Process (computing)businessInstrumentationAutomationCharge transfer efficiencyCharacterization (materials science)Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment
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Change Discovery in Heterogeneous Data Sources of a Data Warehouse

2020

Data warehouses have been used to analyze data stored in relational databases for several decades. However, over time, data that are employed in the decision-making process have become so enormous and heterogeneous that traditional data warehousing solutions have become unusable. Therefore, new big data technologies have emerged to deal with large volumes of data. The problem of structural evolution of integrated heterogeneous data sources has become extremely topical due to dynamic and diverse nature of big data. In this paper, we propose an approach to change discovery in data sources of a data warehouse utilized to analyze big data. Our solution incorporates an architecture that allows t…

Metadatabusiness.industryProcess (engineering)Computer scienceRelational databaseOnline analytical processingBig dataUnstructured dataArchitecturebusinessData scienceData warehouse
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Estimating Verdoorn law for Italian firms and regions

2011

In empirical regional economics, returns to scale are typically estimated at the regional level in search for evidence on alternative theories of growth and agglomeration. However, returns to scale may also have a firm-level dimension. In this paper, we exploit micro level data and estimate the dynamic Verdoorn law in a multilevel-setting, where returns to scale are obtained simultaneously for the micro and the regional level. Using Italian firm-level data and the NUTS-3 level of aggregation, we estimate the classic and augmented versions of Verdoorn law for the manufacturing sector, and the rest of the economy for comparison. Our results show that increasing returns to scale co-exist at bo…

Micro levelEconomics and EconometricsReturns to scaleEconomies of agglomerationjel:C31Geography Planning and DevelopmentMultilevel modelReturns to scale Verdoorn Law Multilevel models Italian firmsDegree (music)Urban StudiesManufacturing sectorRegional economicsLawVerdoorn law Returns to scale Multilevel models Italian firmsEconometricsEconomicsjel:R12Dimension (data warehouse)jel:O47jel:R11Demography
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Determining the indicators of social capital theory to social network sites

2014

The authors theoretical research provided a framework to define and measure social capital in social network sites. This paper determining with a qualitative method the theoretical dimensions of this framework. The result of this paper is the explanation of social capital theory in social network sites under the consideration of the identified indicators. The sample for this case is students, and the research needs further confirmation by other samples and methods. But this paper gives a first interesting insight in social network sites explained with the social capital theory and provides a first guidance for further research projects.

MicroeconomicsMeasure (data warehouse)Social networkbusiness.industryEconomicsTheoretical researchThe InternetSample (statistics)Research needsbusinessInvestment (macroeconomics)Social capital2014 3rd International Conference on User Science and Engineering (i-USEr)
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