18 résultats avec le mot-clé: 'sampling sequential pattern mining static databases data streams'
However, and unlike in the static database sampling, customers transactions list size can grow over time in the data stream and thus, we need to find a way to keep the size of
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Fur- thermore, the problem of privacy-preserving collaborative sequential pattern mining is to discover sequential patterns embedded in the union of databases by considering that
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In this paper, we bring an original contribution by proposing a new one-pass algorithm, named SPAMS, enabling the building and the maintaining of an automaton data structure: the
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Once the raw signal is transformed into a symbolic sequence of items or itemsets, classical sequential motif discovery algorithms can be applied.. Two kinds of sequential
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As pattern mining algorithms deal with symbolic sequences, we present rst how to transform time series related to audio data into symbolic sequences.. Then we show how to use
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Further- more, the problem of privacy-preserving collaborative sequential pattern mining is to find all the sequential patterns embedded in the set of databases by con- sidering
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Programmer sumArrayOfArrays, la fonction qui attend un tableau de tableaux d’entiers et retourne la somme de tous les entiers qu’il
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Nous rapportons le cas d’une jeune femme atteinte d’artérite de Takayasu avec sténoses de l’aorte abdominale sous-rénale et de l’artère sous-clavière droite.. Mots clés
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Keywords: Web usage mining (WUM), Web mining, data mining, Web access logs, WUM methodology, WUM preprocessing, intersites WUM, sequential pattern mining, low support,
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Keywords: Web usage mining (WUM), Web mining, data mining, Web access logs, WUM methodology, WUM preprocessing, intersites WUM, sequential pattern mining, low support,
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5 Data Exploration Through Multilevel Sequential Pattern Mining 95 5.1 Problem Statement and
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Pour d’autres auteurs, en dehors du téléphone mobile, il y a peu d’exemples de technologies dont l’usage est presque aussi répandu dans certains pays d’Afrique qu’en
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This difference in the runtime is justified by the fact that the mining process of the main source is a process that mines a single data source and generates frequent
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Indeed, contextual sequential pattern mining does not only aim to mine sequences that are specific to one class, but to extract all sequential patterns in a whole sequence database,
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Indeed, contextual sequential pattern mining does not only aim to mine sequences that are specific to one class, but to extract all sequential patterns in a whole sequence database,
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– Knowledge discovery (mining) in databases (KDD), knowledge extraction, data/pattern analysis, data archeology, data dredging, information harvesting, business intelligence, etc..
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Finally, we compare the communication cost between dis- tributed and centralized approaches by evaluating the number N max of drawn patterns in the worst case (when M = 5 for
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Keywords : Knowledge discovery in databases, data mining, sequence database, interestingness measure, belief, unexpected sequences, sequential patterns, sequence rules, fuzzy
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