Search results for "query"

showing 10 items of 125 documents

P-FCM: a proximity-based fuzzy clustering for user-centered web applications

2003

Abstract In last years, the Internet and the web have been evolved in an astonishing way. Standard web search services play an important role as useful tools for the Internet community even though they suffer from a certain difficulty. The web continues its growth, making the reliability of Internet-based information and retrieval systems more complex. Nevertheless there has been a substantial analysis of the gap between the expected information and the returned information, the work of web search engine is still very hard. There are different problems concerning web searching activity, one among these falls in the query phase. Each engine provide an interface which the user is forced to le…

0209 industrial biotechnologymedicine.medical_specialtyComputer science02 engineering and technologyWeb engineeringcomputer.software_genreSimilarityTheoretical Computer ScienceWorld Wide Web020901 industrial engineering & automationArtificial IntelligenceWeb query classificationWeb design0202 electrical engineering electronic engineering information engineeringmedicineWeb navigationWeb search queryInformation retrievalHuman–computer interactionApplied MathematicsFuzzy logicSearch enginesWeb search engine020201 artificial intelligence & image processingWeb servicecomputerWeb modelingSoftwareFuzzy C-mean algorithmInternational Journal of Approximate Reasoning
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Reactome graph database: Efficient access to complex pathway data

2018

Reactome is a free, open-source, open-data, curated and peer-reviewed knowledgebase of biomolecular pathways. One of its main priorities is to provide easy and efficient access to its high quality curated data. At present, biological pathway databases typically store their contents in relational databases. This limits access efficiency because there are performance issues associated with queries traversing highly interconnected data. The same data in a graph database can be queried more efficiently. Here we present the rationale behind the adoption of a graph database (Neo4j) as well as the new ContentService (REST API) that provides access to these data. The Neo4j graph database and its qu…

0301 basic medicineDatabases FactualComputer scienceData managementKnowledge BasesSocial SciencesInformation Storage and RetrievalNoSQLcomputer.software_genreComputer ApplicationsDatabase and Informatics MethodsUser-Computer Interface0302 clinical medicineKnowledge extractionPsychologyDatabase Searchinglcsh:QH301-705.5Data ManagementLanguageBiological dataEcologySystems BiologyGenomicsGenomic DatabasesComputational Theory and MathematicsModeling and SimulationWeb-Based ApplicationsGraph (abstract data type)Information TechnologyResearch ArticleComputer and Information SciencesRelational databaseQuery languageResearch and Analysis MethodsEcosystems03 medical and health sciencesCellular and Molecular NeuroscienceDatabasesGeneticsComputer GraphicsHumansMolecular BiologyEcology Evolution Behavior and SystematicsInternetInformation retrievalGraph databasebusiness.industryEcology and Environmental SciencesCognitive PsychologyBiology and Life SciencesComputational BiologyGenome AnalysisRelational Databases030104 developmental biologyBiological Databaseslcsh:Biology (General)Cognitive Sciencebusinesscomputer030217 neurology & neurosurgerySoftwareNeurosciencePLoS Computational Biology
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Hyperion

2019

Indexes are essential in data management systems to increase the speed of data retrievals. Widespread data structures to provide fast and memory-efficient indexes are prefix tries. Implementations like Judy, ART, or HOT optimize their internal alignments for cache and vector unit efficiency. While these measures usually improve the performance substantially, they can have a negative impact on memory efficiency. In this paper we present Hyperion, a trie-based main-memory key-value store achieving extreme space efficiency. In contrast to other data structures, Hyperion does not depend on CPU vector units, but scans the data structure linearly. Combined with a custom memory allocator, Hyperion…

0303 health sciencesRange query (data structures)Computer scienceData structurecomputer.software_genreSearch tree03 medical and health sciencesMemory managementTrieMemory footprintData miningCachecomputer030304 developmental biologyProceedings of the 2019 International Conference on Management of Data
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A comparison of HDFS compact data formats: Avro versus Parquet

2017

In this paper, file formats like Avro and Parquet are compared with text formats to evaluate the performance of the data queries. Different data query patterns have been evaluated. Cloudera’s open-source Apache Hadoop distribution CDH 5.4 has been chosen for the experiments presented in this article. The results show that compact data formats (Avro and Parquet) take up less storage space when compared with plain text data formats because of binary data format and compression advantage. Furthermore, data queries from the column based data format Parquet are faster when compared with text data formats and Avro. Article in English. HDFS glaustųjų duomenų formatų palyginimas: Avro prieš Parquet…

Big DataComputer scienceBig dataEnergy Engineering and Power Technology02 engineering and technologyManagement Science and Operations Researchcomputer.software_genreColumn (database)020204 information systemsData query0202 electrical engineering electronic engineering information engineeringHDFSDatabasebusiness.industryPlain textMechanical Engineeringcomputer.file_formatAvroFile formatHiveParquetData formatHadoopBinary data020201 artificial intelligence & image processingbusinesscomputerMokslas – Lietuvos ateitis / Science – Future of Lithuania
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Precīzie kvantu algoritmi, izmantojot 1-kvantu-vaicājuma izsaukumus

2018

Darbā ir analizēti zināmi unikāli precīzie kvantu algoritmi, kuru īpašības ir atšķirīgas no citiem literatūrā atrodamiem algoritmiem, un uzsākts pētīt iespējas vispārināt šajos algoritmos esošos paņēmienus. Darbā ir noformulēts jauns skaitļošanas modelis, kas ir saistīts ar precīzo kvantu vaicājumu modeli. Veikti skaitliski aprēķini, lai palīdzētu saprast jaunā modeļa iespējas un ierobežojumus. Izteiktas hipotēzes un virzieni, kādos turpināt analīzi un pētījumu.

Boolean function query complexityDatorzinātneBūla funkciju vaicājuma sarežģītībaexact quantum algorithmsprecīzie kvantu algoritmi
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Searching for repetitions in biological networks: methods, resources and tools

2013

We present here a compact overview of the data, models and methods proposed for the analysis of biological networks based on the search for significant repetitions. In particular, we concentrate on three problems widely studied in the literature: ‘network alignment’, ‘network querying’ and ‘network motif extraction’. We provide (i) details of the experimental techniques used to obtain the main types of interaction data, (ii) descriptions of the models and approaches introduced to solve such problems and (iii) pointers to both the available databases and software tools. The intent is to lay out a useful roadmap for identifying suitable strategies to analyse cellular data, possibly based on t…

Cellular datanetwork global alignmentnetwork local alignmentbiological networks analysiSettore INF/01 - Informaticabusiness.industryComputer sciencenetwork queryingComputational Biologynetwork motif extractionModels Theoreticalcomputer.software_genreData typeNetwork motifSoftwareNetwork alignmentData miningbusinessMolecular Biologycomputerasymmetric alignmentBiological networkSoftwareInformation Systems
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Quantum Query Complexity of Boolean Functions with Small On-Sets

2008

The main objective of this paper is to show that the quantum query complexity Q(f) of an N-bit Boolean function f is bounded by a function of a simple and natural parameter, i.e., M = |{x|f(x) = 1}| or the size of f's on-set. We prove that: (i) For $poly(N)\le M\le 2^{N^d}$ for some constant 0 < d < 1, the upper bound of Q(f) is $O(\sqrt{N\log M / \log N})$. This bound is tight, namely there is a Boolean function f such that $Q(f) = \Omega(\sqrt{N\log M / \log N})$. (ii) For the same range of M, the (also tight) lower bound of Q(f) is $\Omega(\sqrt{N})$. (iii) The average value of Q(f) is bounded from above and below by $Q(f) = O(\log M +\sqrt{N})$ and $Q(f) = \Omega (\log M/\log N+ \sqrt{N…

CombinatoricsDiscrete mathematicsComplexity indexKarp–Lipton theoremBounded functionCircuit minimization for Boolean functionsCircuit complexityUpper and lower boundsPlanarity testingBoolean conjunctive queryMathematics
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Quantum Queries on Permutations with a Promise

2009

This paper studies quantum query complexities for deciding (exactly or with probability 1.0) the parity of permutations of n numbers, 0 through n *** 1. Our results show quantum mechanism is quite strong for this non-Boolean problem as it is for several Boolean problems: (i) For n = 3, we need a single query in the quantum case whereas we obviously need two queries deterministically. (ii) For even n , n /2 quantum queries are sufficient whereas we need n *** 1 queries deterministically. (iii) Our third result is for the problem deciding whether the given permutation is the identical one. For this problem, we show that there is a nontrivial promise such that if we impose that promise to the …

CombinatoricsDiscrete mathematicsQuantum queryPermutationQuantum algorithmParity (physics)Boolean functionQuantumComputer Science::DatabasesMathematics
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Quantum Queries on Permutations

2015

K. Iwama and R. Freivalds considered query algorithms where the black box contains a permutation. Since then several authors have compared quantum and deterministic query algorithms for permutations. It turns out that the case of \(n\)-permutations where \(n\) is an odd number is difficult. There was no example of a permutation problem where quantization can save half of the queries for \((2m+1)\)-permutations if \(m\ge 2\). Even for \((2m)\)-permutations with \(m\ge 2\), the best proved advantage of quantum query algorithms is the result by Iwama/Freivalds where the quantum query complexity is \(m\) but the deterministic query complexity is \((2m-1)\). We present a group of \(5\)-permutati…

CombinatoricsQuantization (physics)Quantum parallelismQuantum queryPermutationMathematics::CombinatoricsGroup (mathematics)Computer Science::Information RetrievalQuantumComputer Science::DatabasesMathematics
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Exact Quantum Query Complexity of $$\text {EXACT}_{k,l}^n$$

2017

In the exact quantum query model a successful algorithm must always output the correct function value. We investigate the function that is true if exactly k or l of the n input bits given by an oracle are 1. We find an optimal algorithm (for some cases), and a nontrivial general lower and upper bound on the minimum number of queries to the black box.

CombinatoricsQuantum query010201 computation theory & mathematics0103 physical sciences0102 computer and information sciencesFunction (mathematics)010306 general physics01 natural sciencesUpper and lower boundsValue (mathematics)OracleMathematics
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