Search results for "Mining"

showing 10 items of 1730 documents

OLAP Personalization with User-Describing Profiles

2010

In this paper we have highlighted five existing approaches for introducing personalization in OLAP: preference constructors, dynamic personalization, visual OLAP, recommendations with user session analysis and recommendations with user profile analysis and have analyzed research papers within these directions. We have pointed out applicability of personalization to OLAP schema elements in these approaches. The comparative analysis has been made in order to highlight a certain personalization approach. A new method has been proposed, which provides exhaustive description of interaction between user and data warehouse, using the concept of Zachman Framework [1, 2], according to which a set of…

User profileData collectionInformation retrievalComputer scienceOnline analytical processingSchema (psychology)Zachman FrameworkData miningcomputer.software_genrecomputerData warehousePersonalization
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Privacy Violation Classification of Snort Ruleset

2010

Published version of a paper presented at the 2010 18th Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP). (c) 2010 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works. Paper also available from the publisher:http://dx.doi.org/10.1109/PDP.2010.87 It is important to analyse the privacy impact of Intrusion Detection System (IDS) rules, in order to understand a…

VDP::Mathematics and natural science: 400::Information and communication science: 420::Security and vulnerability: 424Information privacyNaive Bayes classifierComputer scienceRelational databasePrivacy softwareData securityConfidentialityNetwork monitoringIntrusion detection systemData miningcomputer.software_genrecomputer
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A novel evaluation model for hybrid power system based on vague set and Dempster-Shafer evidence theory

2012

Published version of an article from the journal: Mathematical Problems in Engineering. Also available from the publisher:http://dx.doi.org/10.1155/2012/784389 Because clean energy and traditional energy have different advantages and disadvantages, it is of great significance to evaluate comprehensive benefits for hybrid power systems. Based on thorough analysis of important characters on hybrid power systems, an index system including security, economic benefit, environmental benefit, and social benefit is established in this paper. Due to advantages of processing abundant uncertain and fuzzy information, vague set is used to determine the decision matrix. Convert vague decision matrix to …

VDP::Mathematics and natural science: 400::Mathematics: 410::Applied mathematics: 413EngineeringWind powerArticle Subjectbusiness.industrylcsh:MathematicsGeneral MathematicsGeneral EngineeringVDP::Technology: 500::Electrotechnical disciplines: 540lcsh:QA1-939computer.software_genreFuzzy logicVague setPower (physics)Set (abstract data type)lcsh:TA1-2040Decision matrixDempster–Shafer theoryData miningHybrid powerlcsh:Engineering (General). Civil engineering (General)businesscomputer
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Geoethical education: A critical issue for geoconservation

2013

Some geological outcrops have a special scientific or educational value, represent a geological type locality and/or have a considerable aesthetical/photographic value. Such important outcrops require appropriate management to safeguard them from potentially damaging and destructive activities. Damage done to such rock exposures can include drill sampling by geologist for scientific purposes. In this work, we show how outcrops important to structural geology and petrology can be damaged unnecessarily by drill coring. Unfortunately, regulation and protection mechanisms and codes of conduct can be ineffective. The many resources of geological information available to the geoscientist communit…

Value (ethics)DrillMining engineeringWork (electrical)General Earth and Planetary SciencesEnvironmental planningCoringGeologyGeologist
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Twitter sentiment as a weak signal in venture capital financing

2021

Abstract How do venture capitalists (VCs) incorporate weak and strong signals in the valuation of technology-based startups? Based on a sociocognitive perspective of signaling theory, we introduce Twitter sentiment as a novel and weak signal, which we juxtapose with patents as a traditional, strong signal. While we find a positive association between both signals and VCs' venture valuations, our results reveal that Twitter sentiment does not correlate with actual long-term investment success, whereas patents do. Additionally, we identify and test novelty and experience characteristics (i.e., startup age and VC firm experience) as boundary conditions for our proposed signal-valuation relatio…

Venture capital financing05 social sciencesPerspective (graphical)0211 other engineering and technologiesWeak signalNovelty02 engineering and technologyVenture capitalInvestment (macroeconomics)MicroeconomicsManagement of Technology and Innovation0502 economics and businessBusinessBusiness and International ManagementAssociation (psychology)050203 business & management021102 mining & metallurgyValuation (finance)Journal of Business Venturing
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3D ERT for the study of an ancient wall covered by precious mosaics

2009

The DC electrical tomography (ERT) is still a method scarcely diffused for the study of masonry of recent and ancient buildings, in spite of the very high resolution power of this methodology. The major limitation on ERT applicability on precious surfaces (like masonries or floors with fresco or mosaic covering) depends on the method of current injection: usually it is necessary to drive electrodes (small nails) into small perforations on the surfaces, to obtain sufficiently high current values (to produce good signal to noise ratio). An interesting application of the MYG array (that reduces significantly, compared to other classical arrays, the number of electrodes utilized for current inj…

Very high resolutionmedicine.medical_specialtybusiness.industryMineralogyHigh resolutionMasonryMetamorphic petrology3D Eelectrical resistivity tomography MYG array mosaicsMining engineeringTelmatologySettore GEO/11 - Geofisica ApplicatamedicineHigh currentEconomic geologybusinessGeology
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Fragmentation and Coverage Variation in Viral Metagenome Assemblies, and Their Effect in Diversity Calculations

2015

Metagenomic libraries consist of DNA fragments from diverse species, with varying genome size and abundance. High-throughput sequencing platforms produce large volumes of reads from these libraries, which may be assembled into contigs, ideally resembling the original larger genomic sequences. The uneven species distribution, along with the stochasticity in sample processing and sequencing bias, impacts the success of accurate sequence assembly. Several assemblers enable the processing of viral metagenomic data de novo, generally using overlap layout consensus or de Bruijn graph approaches for contig assembly. The success of viral genomic reconstruction in these datasets is limited by the de…

Viral metagenomicsHistologyOTUlcsh:BiotechnologySpecies distributionBiomedical EngineeringSequence assemblyBioengineeringComputational biologyBiologyassemblercomputer.software_genreGenomediversitylcsh:TP248.13-248.65Alpha diversityGenome sizeOriginal ResearchContigBioengineering and BiotechnologyMetagenomicsAlpha diversityBioinformacticsData miningviral metagenomicscomputerBiotechnologyFrontiers in Bioengineering and Biotechnology
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Improving structural similarity based virtual screening using background knowledge

2013

Background Virtual screening in the form of similarity rankings is often applied in the early drug discovery process to rank and prioritize compounds from a database. This similarity ranking can be achieved with structural similarity measures. However, their general nature can lead to insufficient performance in some application cases. In this paper, we provide a link between ranking-based virtual screening and fragment-based data mining methods. The inclusion of binding-relevant background knowledge into a structural similarity measure improves the quality of the similarity rankings. This background knowledge in the form of binding relevant substructures can either be derived by hand selec…

Virtual screeningEnrichmentPhysical and Theoretical ChemistryLibrary and Information SciencesStructural similarity004 InformatikComputer Graphics and Computer-Aided DesignData miningBackground knowledge004 Data processingComputer Science ApplicationsResearch Article
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Supporting Impact Analysis by Program Dependence Graph Based Forward Slicing

2007

Since software must evolve to meet the typically changing requirements, source code modifications can not be avoided. Impact analysis is one of the central and relatively demanding tasks of software maintenance. It is constantly needed while aiming at ensuring the correctness of the made modifications. Due to its importance and challenging nature automated support techniques are required. Theoretically, forward slicing is a very suitable technique for that purpose. Therefore, we have implemented a program dependence graph (PDG) based tool, called GRACE, for it. For example, due to the typical rewritings of Visual Basic programs there is a great need to support their impact analysis. However…

Visual BasicCorrectnessSource codeComputer sciencebusiness.industrymedia_common.quotation_subjectSoftware maintenancecomputer.software_genreSlicingProgram Dependence GraphProgram slicingControl flow graphData miningSoftware engineeringbusinesscomputercomputer.programming_languagemedia_common
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Visualizing Confidence in Cluster-based Ensemble Weather Forecast Analyses

2020

In meteorology, cluster analysis is frequently used to determine representative trends in ensemble weather predictions in a selected spatio-temporal region, e.g., to reduce a set of ensemble members to simplify and improve their analysis. Identified clusters (i.e., groups of similar members), however, can be very sensitive to small changes of the selected region, so that clustering results can be misleading and bias subsequent analyses. In this article, we — a team of visualization scientists and meteorologists-deliver visual analytics solutions to analyze the sensitivity of clustering results with respect to changes of a selected region. We propose an interactive visual interface that enab…

Visual analytics010504 meteorology & atmospheric sciencesbusiness.industryComputer scienceWeather forecasting020207 software engineering02 engineering and technologycomputer.software_genre01 natural sciencesComputer Graphics and Computer-Aided DesignVisualizationData visualizationText miningRobustness (computer science)Signal Processing0202 electrical engineering electronic engineering information engineeringCluster (physics)Computer Vision and Pattern RecognitionData miningCluster analysisbusinesscomputerSoftware0105 earth and related environmental sciencesCluster based
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