Search results for "Data mining"

showing 10 items of 907 documents

Heuristic algorithms for a storage location assignment problem in a chaotic warehouse

2014

The extensive application of emerging technologies is revolutionizing warehouse management. These technologies facilitate working with complex and powerful warehouse management models in which products do not have assigned fixed locations (random storage). Random storage allows the utilization of the available space to be optimized. In this context, and motivated by a real problem, this article presents a model that looks for the optimal allocation of goods in order to maximize the storage space availability within the restrictions of the warehouse. For the proposed model a construction method, a local search algorithm and different metaheuristics have been developed. The introduced algorit…

Control and OptimizationComputer scienceHeuristic (computer science)Applied MathematicsChaoticContext (language use)Management Science and Operations ResearchSpace (commercial competition)computer.software_genreIndustrial and Manufacturing EngineeringComputer Science ApplicationsWarehouseSet (abstract data type)Data miningAssignment problemcomputerAlgorithmMetaheuristicComputer Science::DatabasesEngineering Optimization
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A Short-Term Data Based Water Consumption Prediction Approach

2019

A smart water network consists of a large number of devices that measure a wide range of parameters present in distribution networks in an automatic and continuous way. Among these data, you can find the flow, pressure, or totalizer measurements that, when processed with appropriate algorithms, allow for leakage detection at an early stage. These algorithms are mainly based on water demand forecasting. Different approaches for the prediction of water demand are available in the literature. Although they present successful results at different levels, they have two main drawbacks: the inclusion of several seasonalities is quite cumbersome, and the fitting horizons are not very large. With th…

Control and OptimizationSimilarity (geometry)010504 meteorology & atmospheric sciencesComputer science0208 environmental biotechnologywaterEnergy Engineering and Power TechnologyContext (language use)forecasting02 engineering and technologycomputer.software_genre01 natural scienceslcsh:TechnologyWater consumptionpattern-basedPattern-basedRange (statistics)medicineSDG 7 - Affordable and Clean EnergyElectrical and Electronic EngineeringLeakage (economics)Machine-learningEngineering (miscellaneous)0105 earth and related environmental sciencesMeasure (data warehouse)Renewable Energy Sustainability and the Environmentlcsh:Tmachine-learningWaterSeasonalityDemand forecastingmedicine.disease020801 environmental engineeringWater demandTerm (time)Stage (hydrology)Data miningcomputerForecastingEnergy (miscellaneous)Energies
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Improving protein secondary structure predictions by prediction fusion

2009

Protein secondary structure prediction is still a challenging problem at today. Even if a number of prediction methods have been presented in the literature, the various prediction tools that are available on-line produce results whose quality is not always fully satisfactory. Therefore, a user has to know which predictor to use for a given protein to be analyzed. In this paper, we propose a server implementing a method to improve the accuracy in protein secondary structure prediction. The method is based on integrating the prediction results computed by some available on-line prediction tools to obtain a combined prediction of higher quality. Given an input protein p whose secondary struct…

CorrectnessComputer sciencemedia_common.quotation_subjectProtein structure predictioncomputer.software_genreSet (abstract data type)Global distance testHardware and ArchitectureSignal ProcessingQuality (business)Data miningBioinformatics Protein Secondary Structure Prediction ClassificationCASPProtein secondary structurecomputerSoftwareInformation Systemsmedia_commonData integrationInformation Fusion
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Learning-automaton-based online discovery and tracking of spatiotemporal event patterns.

2013

Discovering and tracking of spatiotemporal patterns in noisy sequences of events are difficult tasks that have become increasingly pertinent due to recent advances in ubiquitous computing, such as community-based social networking applications. The core activities for applications of this class include the sharing and notification of events, and the importance and usefulness of these functionalities increase as event sharing expands into larger areas of one's life. Ironically, instead of being helpful, an excessive number of event notifications can quickly render the functionality of event sharing to be obtrusive. Indeed, any notification of events that provides redundant information to the…

CorrectnessUbiquitous computingComputer scienceMachine learningcomputer.software_genreOnline SystemsPattern Recognition AutomatedSpatio-Temporal AnalysisRobustness (computer science)Artificial IntelligenceComputer SystemsHumansElectrical and Electronic EngineeringLearning automatabusiness.industrySpatiotemporal patternSocial SupportComputer Science ApplicationsAutomatonHuman-Computer InteractionControl and Systems EngineeringMemory footprintArtificial intelligenceData miningbusinesscomputerSoftwareAlgorithmsInformation SystemsIEEE transactions on cybernetics
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Regression imputation for Space-Time datasets with missing values

2009

Data consisting in repeated observations on a series of fixed units are very common in different context like biological, environmental and social sciences, and different terminology is often used to indicate this kind of data: panel data, longitudinal data, time series-cross section data (TSCS), spatio-temporal data. Missing information are inevitable in longitudinal studies, and can produce biased estimates and loss of powers. The aim of this paper is to propose a new regression (single) imputation method that, considering the particular structure and characteristics of the data set, creates a “complete” data set that can be analyzed by any researcher on different occasions and using diff…

Cross-sectional dataSpace timeMissing datacomputer.software_genreRegressionTerminologyGeographyStatisticsSpace-time data imputationPerformance indicatorImputation (statistics)Data miningSettore SECS-S/01 - StatisticacomputerPanel data
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2-(Benzylsulfanyl)pyridineN-oxide

2008

In the title compound, C12H11NOS, the dihedral angle between the oxopyridinium and phenyl rings is 58.40 (1)°. The crystal structure is stabilized by C—H...O hydrogen bonds, π–π stacking interactions involving the pyridinium rings [centroid–centroid distance = 3.6891 (9) Å] and C—H...π interactions.

CrystallographyHydrogen bondStackingPyridine-N-oxideGeneral ChemistryCrystal structureDihedral angleCondensed Matter Physicscomputer.software_genreOrganic Paperschemistry.chemical_compoundCrystallographychemistryQD901-999General Materials SciencePyridiniumData miningcomputerActa Crystallographica Section E Structure Reports Online
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Use of the KSVM-based system for the definition, validation and identification of the incisional hernia recurrence risk factors

2019

BACKGROUND: Incisional hernia is one of the most common complications after abdominal surgery with an incidence rate of 11 to 20% post laparotomy. Many different factors can be considered as risk factors of incisional hernia recurrence. The aim of this study is to confirm and to validate the incisional hernia recurrence risk factors and to identify and to validate new ones. METHODS: In the period from July 2007 to July 2017, 154 patients were selected and subjected to incisional hernia repair. The surgical operations were conducted under general anaesthesia. Patients received antibiotic prophylaxis when indicated, according to the hospital prophylaxis scheme. Inclusion criteria of the study…

Data AnalysisMaleAge FactorsDatasets as TopicIncisional hernia - Risk factors - Recurrence - KSVM.ComorbidityAnesthesia GeneralAntibiotic ProphylaxisMiddle AgedSensitivity and SpecificityBody Mass IndexMachine LearningSex Factorssurgical procedures operativeRecurrenceRisk Factorsincisional hernia risk factorsData MiningHumansIncisional HerniaFemale
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Acquisition, filtering and toll data processing system for obtaining origin-destination matrix and travel times on highways

2012

This paper presents an acquisition, filtering and real-time toll data processing system that provides a base for resolution and generation of studies and models of behavior on highways. Crossing points estimation, speed calculation, study traffic flow, travel time estimation and stopping points can also be provided. The complexity of processing with supplied data volume makes indispensable a less relevant information filtering. This filtering can be done through indicators such as speed or nullity of fields and a performance improvement job in database level using views, materializations, partitioning and parallelism. A web application called MODA has been developed. This application make e…

Data acquisitionData modelData extractionComputer scienceSoftware designData miningGraphicscomputer.software_genreSoftware architecturecomputerData modelingData processing systemProceedings of the 6th Euro American Conference on Telematics and Information Systems
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Controlling false match rates in record linkage using extreme value theory

2011

AbstractCleansing data from synonyms and homonyms is a relevant task in fields where high quality of data is crucial, for example in disease registries and medical research networks. Record linkage provides methods for minimizing synonym and homonym errors thereby improving data quality. We focus our attention to the case of homonym errors (in the following denoted as ‘false matches’), in which records belonging to different entities are wrongly classified as equal. Synonym errors (‘false non-matches’) occur when a single entity maps to multiple records in the linkage result. They are not considered in this study because in our application domain they are not as crucial as false matches. Fa…

Data cleansingData cleansingBiomedical ResearchDatabases FactualCalibration (statistics)Computer scienceHealth Informaticscomputer.software_genrePlot (graphics)Mean excess plotStatisticsRegistriesExtreme value theoryLinkage (software)Models StatisticalComputational BiologyFellegi–Sunter modelMixture modelGeneralized Pareto distributionComputer Science ApplicationsData qualityStatistics of extreme valuesDatabase Management SystemsMedical Record LinkageData miningcomputerAlgorithmsMedical InformaticsRecord linkageJournal of Biomedical Informatics
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Gene set to diseases

2016

Disease enrichment analysis on gene sets.

Data mining
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