Search results for "Data structure"

showing 10 items of 441 documents

On utilizing an enhanced object partitioning scheme to optimize self-organizing lists-on-lists

2020

With the advent of “Big Data” as a field, in and of itself, there are at least three fundamentally new questions that have emerged, namely the Artificially Intelligence (AI)-based algorithms required, the hardware to process the data, and the methods to store and access the data efficiently. This paper (The work of the second author was partially supported by NSERC, the Natural Sciences and Engineering Council of Canada. We are very grateful for the feedback from the anonymous Referees of the original submission. Their input significantly improved the quality of this final version.) presents some novel schemes for the last of the three areas. There have been thousands of papers written rega…

Control and OptimizationTheoretical computer scienceLearning automataComputer sciencebusiness.industryBig data02 engineering and technologyObject (computer science)Data structureHierarchical database modelField (computer science)030218 nuclear medicine & medical imagingComputer Science Applications03 medical and health sciences0302 clinical medicineControl and Systems EngineeringModeling and Simulation0202 electrical engineering electronic engineering information engineeringLocality of reference020201 artificial intelligence & image processingCluster analysisbusinessVDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550
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Cell-List based Molecular Dynamics on Many-Core Processors: A Case Study on Sunway TaihuLight Supercomputer

2020

Molecular dynamics (MD) simulations are playing an increasingly important role in several research areas. The most frequently used potentials in MD simulations are pair-wise potentials. Due to the memory wall, computing pair-wise potentials on many-core processors are usually memory bounded. In this paper, we take the SW26010 processor as an exemplary platform to explore the possibility to break the memory bottleneck by improving data reusage via cell-list-based methods. We use cell-lists instead of neighbor-lists in the potential computation, and apply a number of novel optimization methods. Theses methods include: an adaptive replica arrangement strategy, a parameter profile data structur…

CoprocessorCell lists010304 chemical physicsComputer scienceReplica020207 software engineering02 engineering and technologyParallel computingSupercomputerData structure01 natural sciencesBottleneckMolecular dynamics0103 physical sciencesScalability0202 electrical engineering electronic engineering information engineeringSunway TaihuLightSC20: International Conference for High Performance Computing, Networking, Storage and Analysis
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FRIPON: a worldwide network to track incoming meteoroids

2020

Context. Until recently, camera networks designed for monitoring fireballs worldwide were not fully automated, implying that in case of a meteorite fall, the recovery campaign was rarely immediate. This was an important limiting factor as the most fragile - hence precious - meteorites must be recovered rapidly to avoid their alteration. Aims. The Fireball Recovery and InterPlanetary Observation Network (FRIPON) scientific project was designed to overcome this limitation. This network comprises a fully automated camera and radio network deployed over a significant fraction of western Europe and a small fraction of Canada. As of today, it consists of 150 cameras and 25 European radio receiver…

DYNAMICS[INFO.INFO-AR]Computer Science [cs]/Hardware Architecture [cs.AR]MeteorsComputer scienceRadio receiver[INFO.INFO-DM]Computer Science [cs]/Discrete Mathematics [cs.DM]Surveys010502 geochemistry & geophysicsTrack (rail transport)01 natural sciencesMeteorites meteors meteoroidslaw.inventionPlanets and planetary system[INFO.INFO-TS]Computer Science [cs]/Signal and Image ProcessingMethods: observationallaw[INFO.INFO-RB]Computer Science [cs]/Robotics [cs.RO]meteoroids010303 astronomy & astrophysicsComputingMilieux_MISCELLANEOUSObservational methodsEarth and Planetary Astrophysics (astro-ph.EP)meteoroids -surveys -methods: observational -interplanetary medium[SDU.ASTR]Sciences of the Universe [physics]/Astrophysics [astro-ph]ORIGIN[INFO.INFO-AO]Computer Science [cs]/Computer Arithmeticmeteorites meteors meteoroids – surveys – methods: observational – interplanetary mediumMeteoroidsRECOVERYORBITMeteoriteFully automatedInterplanetary medium; Meteorites meteors meteoroids; Methods: observational; Surveys[INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV][INFO.INFO-DC]Computer Science [cs]/Distributed Parallel and Cluster Computing [cs.DC]Astrophysics - Instrumentation and Methods for Astrophysics[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingFLUXReal-time computingfripon[INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS]FOS: Physical sciencesContext (language use)CAMERA[INFO.INFO-SE]Computer Science [cs]/Software Engineering [cs.SE][SPI.AUTO]Engineering Sciences [physics]/Automatic[SDU.STU.PL]Sciences of the Universe [physics]/Earth Sciences/Planetology0103 physical sciencesFIREBALL NETWORKobservational [Methods]meteorsInstrumentation and Methods for Astrophysics (astro-ph.IM)0105 earth and related environmental sciencesMeteoroidINNISFREE METEORITE[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Astronomy and AstrophysicsMETEORITE FALLMeteorites meteors meteoroidCamera networkSpace and Planetary Science[SDU]Sciences of the Universe [physics]Interplanetary spaceflightmeteroids trackingmeteoroids - surveys - methods: observationalSYSTEMInterplanetary mediumAstrophysics - Earth and Planetary AstrophysicsMeteorites
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Prototype-based learning on concept-drifting data streams

2014

Data stream mining has gained growing attentions due to its wide emerging applications such as target marketing, email filtering and network intrusion detection. In this paper, we propose a prototype-based classification model for evolving data streams, called SyncStream, which dynamically models time-changing concepts and makes predictions in a local fashion. Instead of learning a single model on a sliding window or ensemble learning, SyncStream captures evolving concepts by dynamically maintaining a set of prototypes in a new data structure called the P-tree. The prototypes are obtained by error-driven representativeness learning and synchronization-inspired constrained clustering. To ide…

Data streamConcept driftbusiness.industryComputer scienceData stream miningConstrained clusteringcomputer.software_genreData structureMachine learningEnsemble learningSynchronization (computer science)Data miningArtificial intelligencebusinesscomputerProceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining
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Distributed Real-Time Sentiment Analysis for Big Data Social Streams

2014

Big data trend has enforced the data-centric systems to have continuous fast data streams. In recent years, real-time analytics on stream data has formed into a new research field, which aims to answer queries about "what-is-happening-now" with a negligible delay. The real challenge with real-time stream data processing is that it is impossible to store instances of data, and therefore online analytical algorithms are utilized. To perform real-time analytics, pre-processing of data should be performed in a way that only a short summary of stream is stored in main memory. In addition, due to high speed of arrival, average processing time for each instance of data should be in such a way that…

Data streamFOS: Computer and information sciencesComputer Science - Computation and LanguageComputer sciencebusiness.industryData stream miningSentiment analysisBig dataMachine Learning (stat.ML)Databases (cs.DB)Data structurecomputer.software_genreField (computer science)Computer Science - Information RetrievalTree (data structure)Computer Science - DatabasesComputer Science - Distributed Parallel and Cluster ComputingAnalyticsStatistics - Machine LearningData miningDistributed Parallel and Cluster Computing (cs.DC)businesscomputerComputation and Language (cs.CL)Information Retrieval (cs.IR)
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Reverse-Safe Text Indexing

2021

We introduce the notion of reverse-safe data structures. These are data structures that prevent the reconstruction of the data they encode (i.e., they cannot be easily reversed). A data structure D is called z - reverse-safe when there exist at least z datasets with the same set of answers as the ones stored by D . The main challenge is to ensure that D stores as many answers to useful queries as possible, is constructed efficiently, and has size close to the size of the original dataset it encodes. Given a text of length n and an integer z , we propose an algorithm that constructs a z -reverse-safe data structure ( z -RSDS) that has size O(n) and answers decision and counting pattern matc…

Data structuresComputer scienceSuffix treesuffix tree0102 computer and information sciences02 engineering and technologytext indexing01 natural sciencesTheoretical Computer Sciencelaw.inventionSet (abstract data type)law020204 information systems0202 electrical engineering electronic engineering information engineeringPattern matchingdata privacySettore INF/01 - InformaticaSearch engine indexingdata privacy; Data structures; pattern matching; suffix tree; text indexingData structureMatrix multiplicationpattern matching010201 computation theory & mathematicsData structureAlgorithmAdversary modelInteger (computer science)ACM Journal of Experimental Algorithmics
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Scalable Monitoring System for Clouds

2013

Although cloud computing has become an important topic over the last couple of years, the development of cloud-specific monitoring systems has been neglected. This is surprising considering their importance for metering services and, thus, being able to charge customers. In this paper we introduce a monitoring architecture that was developed and is currently implemented in the EASI-CLOUDS project. The demands on cloud monitoring systems are manifold. Regular checks of the SLAs and the precise billing of the resource usage, for instance, require the collection and converting of infrastructure readings in short intervals. To ensure the scalability of the whole cloud, the monitoring system mus…

DatabaseComputer sciencebusiness.industryDistributed computingInterface (computing)Context (language use)Cloud computingcomputer.software_genreTree (data structure)Tree structureResource (project management)Component (UML)Scalabilitybusinesscomputer2013 IEEE/ACM 6th International Conference on Utility and Cloud Computing
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PDB: A pictorial database oriented to data analysis

1993

The paper describes a new pictorial database oriented to image analysis, implemented inside the MIDAS data analysis system. Pictorial databases need expressive data structures in order to represent a wide class of information from the numerical to the visual. The model of the database is relational; however, a full normalization is not achievable, owing to the complexity of the visual information. The paper reports the general design and notes on the software implementation. Preliminary experiments show the performance of the pictorial database. Copyright © 1993 John Wiley & Sons, Ltd

DatabaseSettore INF/01 - InformaticaRelational databaseComputer scienceNormalization (image processing)InformationSystems_DATABASEMANAGEMENTcomputer.software_genreData structureDatabase designPictorial databaseData analysis systemSystems designInformation retrievalManagement and queryRelational databaseDatabase theoryImage analysicomputerSoftwareDatabase model
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Query-Driven Method for Improvement of Data Warehouse Conceptual Model

2013

We propose a query-driven method that elicits the information requirements from existing queries on data sources and their usage statistics. Our method presumes that the queries against the source database reflect the analysis needs of users. We use this method to recommend changes to the existing data warehouse schemata. In our method, we take advantage of the schema versioning approach to reflect all changes that occur in the analysed process, and we analyse the activity of users in the source system, rather than changes in physical data structure, to infer the necessary improvements to the data warehouse schema.

DatabaseSource systemComputer scienceSchema (psychology)InformationSystems_DATABASEMANAGEMENTSchema versioningData structurecomputer.software_genrecomputerData warehouse
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Longest Motifs with a Functionally Equivalent Central Block

2004

International audience; This paper presents a generalization of the notion of longest repeats with a block of k don't care symbols introduced by [Crochemore et al., LATIN 2004] (for k fixed) to longest motifs composed of three parts: a first and last that parameterize match (that is, match via some symbol renaming, initially unknown), and a functionally equivalent central block. Such three-part motifs are called longest block motifs. Different types of functional equivalence, and thus of matching criteria for the central block are considered, which include as a subcase the one treated in [Crochemore et al., LATIN 2004] and extend to the case of regular expressions with no Kleene closure or …

Discrete mathematics0303 health sciences[INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS]Block (permutation group theory)0102 computer and information sciences01 natural sciencesCombinatoricsKleene algebra03 medical and health sciencesClosure (mathematics)010201 computation theory & mathematicsAlgorithmicsKleene starRegular expressionTime complexity030304 developmental biologyMathematicsComplement (set theory)
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