Search results for "feature"

showing 10 items of 4091 documents

Anomaly Detection from Network Logs Using Diffusion Maps

2011

The goal of this study is to detect anomalous queries from network logs using a dimensionality reduction framework. The fequencies of 2-grams in queries are extracted to a feature matrix. Dimensionality reduction is done by applying diffusion maps. The method is adaptive and thus does not need training before analysis. We tested the method with data that includes normal and intrusive traffic to a web server. This approach finds all intrusions in the dataset. peerReviewed

Web serverComputer scienceintrusion detectionDimensionality reductionFeature matrixDiffusion mapdiffusion maphyökkäyksen havaitseminenIntrusion detection systemcomputer.software_genreanomaly detectionpoikkeavuuden havaitseminendiffuusiokarttakoneoppiminenAnomaly detectionData miningtiedonlouhintan-grammitcomputern-grams
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Feature selection: A multi-objective stochastic optimization approach

2020

The feature subset task can be cast as a multiobjective discrete optimization problem. In this work, we study the search algorithm component of a feature subset selection method. We propose an algorithm based on the threshold accepting method, extended to the multi-objective framework by an appropriate definition of the acceptance rule. The method is used in the task of identifying relevant subsets of features in a Web bot recognition problem, where automated software agents on the Web are identified by analyzing the stream of HTTP requests to a Web server.

Web serverLinear programmingthreshold acceptingComputer scienceFeature extractionFeature selectionstochastic optimizationcomputer.software_genreMulti-objective optimizationfeature selection; multiobjective optimization; stochastic optimization; subset selection; threshold acceptingfeature selectionsubset selectionFeature (computer vision)Search algorithmStochastic optimizationmultiobjective optimizationData miningcomputer
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Identifying legitimate Web users and bots with different traffic profiles — an Information Bottleneck approach

2020

Abstract Recent studies reported that about half of Web users nowadays are intelligent agents (Web bots). Many bots are impersonators operating at a very high sophistication level, trying to emulate navigational behaviors of legitimate users (humans). Moreover, bot technology continues to evolve which makes bot detection even harder. To deal with this problem, many advanced methods for differentiating bots from humans have been proposed, a large part of which relies on supervised machine learning techniques. In this paper, we propose a novel approach to identify various profiles of bots and humans which combines feature selection and unsupervised learning of HTTP-level traffic patterns to d…

Web userInformation Systems and ManagementComputer scienceInternet robotFeature selection02 engineering and technologyMachine learningcomputer.software_genreUnsupervised learningSession (web analytics)Management Information SystemsIntelligent agentArtificial Intelligence020204 information systemsMachine learning0202 electrical engineering electronic engineering information engineeringCluster analysisBot detectionbusiness.industryInformation bottleneck methodWeb botServer logHierarchical clusteringUnsupervised learning020201 artificial intelligence & image processingArtificial intelligencebusinesscomputerSoftwareKnowledge-Based Systems
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Spatial distribution of phytoplankton and picocyanobacteria in Lake Tanganyika in March and April 1998

2003

The spatial distribution of phytoplankton and picocyanobacteria was studied in Lake Tanganyika in relation to environmental factors. Sampling was conducted within three weeks during the wet season of 1998 when the water column stratification was most stable. The secchi depth varied between 11 and 16 m, except off the river Malagarasi (3 m). The depth of the euphotic zone was 33 to 56 m. Altogether, 218 phytoplankton taxa were identified. Their total biomass varied between 13 and 88 mg m−3 fresh weight. Picocyanobacteria were present at very high densities (104 to 6 × 10 5 cells ml−1). The influence of the river Malagarasi appeared to spread along the water surface because of the lower densi…

Wet seasonHydrologygeographyBiomass (ecology)geography.geographical_feature_categoryEcologyManagement Monitoring Policy and LawAquatic ScienceSpatial distributionRiver waterWater columnOceanographyPhytoplanktonRiver mouthEnvironmental sciencePhotic zoneAquatic Ecosystem Health & Management
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Monitoring of Cueva Larga, Puerto Rico—A First Step to Decode Speleothem Climate Records

2017

This study presents results of an ongoing cave monitoring program at Cueva Larga, Puerto Rico. The monitoring includes monthly analyses of stable isotope ratios of rain and drip water, and trace element ratios of drip water and cave air parameters. Drip sites are above growing speleothems offering the unique chance to calibrate geochemical variations in speleothems in order to reconstruct past climate conditions. Seasonal rainfall patterns above Cueva Larga show characteristic stable isotope values. The wet season is characterized by more negative δ18O and δD values and a maritime deuterium excess (+10‰). The dry season has more positive δ18O and δD values and elevated deuterium excess (>15…

Wet seasonHydrologygeographygeography.geographical_feature_category010504 meteorology & atmospheric sciencesStable isotope ratioδ18OSpeleothem010502 geochemistry & geophysicsKarst01 natural sciencesMonitoring programCaveDry seasonPhysical geography0105 earth and related environmental sciences
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Fire Responses to the 2010 and 2015/2016 Amazonian Droughts

2019

Extreme droughts in Amazonia cause anomalous increase in fire occurrence, disrupting the stability of environmental, social and economic systems. Thus, understanding how droughts affect fire patterns in this region is essential for anticipating and planning actions for remediation of possible impacts. Focused on the Brazilian Amazon biome, we investigated fire responses to the 2010 and 2015/2016 Amazonian droughts using a remote sensing data. Our results revealed that the 2015/2016 drought surpassed the 2010 drought in intensity and extent. During the 2010 drought, we found a maximum area of 846,800 km2 (24% of the Brazilian Amazon biome) with significant (p<0.05) rainfall decrease in the f…

Wet seasongeographygeography.geographical_feature_categoryAmazon rainforestAmazonianBiomerainfalltemperatureForestryVegetationOld-growth forestold-growth forestremote sensingMODISDeforestationGreenhouse gasEnvironmental scienceGeneral Earth and Planetary Scienceslcsh:Qlcsh:ScienceCHIRPSFrontiers in Earth Science
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Writer identification for historical handwritten documents using a single feature extraction method

2020

International audience; With the growth of artificial intelligence techniques the problem of writer identification from historical documents has gained increased interest. It consists on knowing the identity of writers of these documents. This paper introduces our baseline system for writer identification, tested on a large dataset of latin historical manuscripts used in the ICDAR 2019 competition. The proposed system yielded the best results using Scale Invariant Feature Transform (SIFT) as a single feature extraction method, without any preprocessing stage. The system was compared against four teams who participated in the competition with different feature extraction methods: SRS-LBP, SI…

Writer identificationComputer sciencebusiness.industryFeature extractionhistorical documentsScale-invariant feature transform020207 software engineeringPattern recognition02 engineering and technologyartificial intelligenceConvolutional neural networkSupport vector machineIdentification (information)sift descriptors0202 electrical engineering electronic engineering information engineeringIdentity (object-oriented programming)Unsupervised learning020201 artificial intelligence & image processing[INFO]Computer Science [cs]Artificial intelligencebusiness
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Modelling and prediction of perceptual segmentation

2017

While listening to music, we somehow make sense of a multiplicity of auditory events; for example, in popular music we are often able to recognize whether the current section is a verse or a chorus, and to identify the boundaries between these segments. This organization occurs at multiple levels, since we can discern motifs, phrases, sections and other groupings. In this work, we understand segment boundaries as instants of significant change. Several studies on music perception and cognition have strived to understand what types of changes are associated with perceptual structure. However, effects of musical training, possible differences between real-time and non real-time segmentation, and…

Ydinestimointirakennemusiikkiperceptual segmentation taskhavaitseminenmuutosmusical structurekuunteleminensegmentointimusiikintutkimusmusiikkitiedekernel density estimationnovelty detectionmusical featuresmusical training
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Migraciones y colonización de un territorio bajo disputa territorial en la Península de Yucatán, México / / / \ \ \ Migration and colonization of a t…

2020

Resumen: Desde la década de 1950 se llevó a cabo en México una política colonizadora con la idea de aprovechar los “espacios vacíos” ocupados por la selva, en zonas delicadas como son las fronterizas, y destinarlos a actividades productivas como lo son las agropecuarias. La apropiación que realizaron los pobladores del espacio y el uso del suelo son procesos socioeconómicos complementarios y complejos, ya que interactúan situaciones de orden natural y actividades antropogénicas; en consecuencia, su análisis debe considerar, entre otros elementos, a la población y la colonización que realizaron del área. El objetivo de este artículo es exponer cuáles fueron las motivaciones y circunstancias …

Yucatan peninsulaTerritorial disputegeographyeducation.field_of_studygeography.geographical_feature_category:GEOGRAFÍA [UNESCO]PeninsulaPopulationPhotographic cameraeducationHumanitiesUNESCO::GEOGRAFÍA
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Cold plumes trigger contamination of oceanic mantle wedges with continental crust-derived sediments: Evidence from chromitite zircon grains of easter…

2018

The origin of zircon grains, and other exotic minerals of typical crustal origin, in mantle-hosted ophiolitic chromitites are hotly debated.We report a population of zircon grains with ages ranging from Cretaceous (99 Ma) to Neoarchean (2750 Ma), separated from massive chromitite bodies hosted in the mantle section of the supra-subduction (SSZ)-type Mayarí-Baracoa Ophiolitic Belt in eastern Cuba. Most analyzed zircon grains (n = 20, 287 +/- 3 Ma to 2750 +/- 60 Ma) are older than the early Cretaceous age of the ophiolite body, show negative εHf(t) (+/-26 to +/-0.6) and occasional inclusions of quartz, K-feldspar, biotite, and apatite that indicate derivation from a granitic continental crust…

ZirconU-Pb geochronologyGeologia submarina010504 meteorology & atmospheric sciencesMantle wedgeGeochronologyGeochemistryOphiolites010502 geochemistry & geophysicsOphiolite01 natural sciencesChromititesMantle (geology)Ofiolites0105 earth and related environmental sciencesgeographygeography.geographical_feature_categorySubductionVolcanic arcContinental crustZirconilcsh:QE1-996.5Cubalcsh:GeologyGeocronologiaGeneral Earth and Planetary SciencesChromititeSubmarine geologyCold plumesZirconiumGeologyZirconGeoscience Frontiers
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