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EPIQUE Project Description: 11 Occurrences trouvées

vel through databases that cover a large range of time and a huge amount of scientific publication. The... cuments or when they want to change the analysis time scale (eg. zoom from a yearly statistics into mon... ces (e.g. for specifying the scientific field and time-range of interest, or any criteria about the corp... term graphs / matrices for different user-defined time slices. A node in this graph is a set of semantic

EPIQUE Project Description: 11 Occurrences trouvées

vel through databases that cover a large range of time and a huge amount of scientific publication. The... cuments or when they want to change the analysis time scale (eg. zoom from a yearly statistics into mon... ces (e.g. for specifying the scientific field and time-range of interest, or any criteria about the corp... term graphs / matrices for different user-defined time slices. A node in this graph is a set of semantic

Economical context : the "Bloggy" Web: 7 Occurrences trouvées

he issue of querying multiple, continuous, rapid, time-varying streams of data using fixed memory. These systems generally distinguish between one-time (transient) queries evaluated once over a point-in-time snapshot of a data set and //continuous queries//... Queries are used as view definitions. During run-time, the application issues XML queries against the v

RDFdist : RDF distribution approaches using Spark: 6 Occurrences trouvées

ang.System.currentTimeMillis(); println("Loading time "+ (t2 - t1) +" msec for "+part+" partitions"); ... ystem.currentTimeMillis(); println("Partitioning time "+ (t3 - t2) +" msec for "+part+" partitions"); ... .lang.System.currentTimeMillis(); print("Loading time of quads : "+(t2-t1)/1000 +" sec") val advis... .System.currentTimeMillis(); affiche("Preparation time "+ (t2 - t1).toDouble/1000 +" sec for " + part +

RDFdist: 6 Occurrences trouvées

ang.System.currentTimeMillis(); println("Loading time "+ (t2 - t1) +" msec for "+part+" partitions"); ... ystem.currentTimeMillis(); println("Partitioning time "+ (t3 - t2) +" msec for "+part+" partitions"); ... .lang.System.currentTimeMillis(); print("Loading time of quads : "+(t2-t1)/1000 +" sec") val advis... .System.currentTimeMillis(); affiche("Preparation time "+ (t2 - t1).toDouble/1000 +" sec for " + part +

Ancien TME Index 2017: 5 Occurrences trouvées

ode> La durée estimée s'affiche dans la colonne **Time** du tableau représentant le plan d'exécution de ... a valeur de la **première** ligne de la colonne **Time**. Les valeurs des lignes suivantes sont des sous... ion | Name | Rows | Bytes | Cost (%CPU)| Time | -------------------------------------------... tion | Name | Rows | Bytes | Cost (%CPU)| Time | ---------------------------------------------

Challenges and issues: 4 Occurrences trouvées

red sequences of XML documents encoding a flow of time-stamped messages called items. Each item generall... h the precise semantics in terms of operations on time-stamped XML document sequences. - RSS feed ma... g amount of information published on the web is a time-stamped, uniquely identified chunk of data with m... s on the web allows to reduce the distance (cost, time, effort) between information producers and infor

WatDiv Query S1 plans: 4 Occurrences trouvées

-------------------- queryTimeDFIter(plan, 10) // TIME=18.6s INPUT=126GB SHFR=484MB </code> =... ").persist subset.count // 78 413 119 // Merging time=4,885s val DATA = subset val t1 = DATA.where(s... plan.join(i, "s") } queryTimeDFIter(plan, 10) //TIME=2.106s INPUT=1,2GB SHFR=484MB </code> === S... plan.join(i, "s") } queryTimeDFIter(plan, 10) //TIME=2.106 INPUT=100+60=160MB SHFR=38KB </code>

Star shape query plans: 4 Occurrences trouvées

oDouble /1000 println("") println(s"Count=$c, Time= $t (s)") t } /* function queryTime2: timer ... oDouble /1000 println("") println(s"Count=$c, Time= $t (s)") t } /* function queryAverageTime: Average query response time for RDD */ def queryAverageTime[T: ClassTag](q: R... ce(_+_)/l.size println(" ") println(s"AVERAGE time: $avg (s)") println(" ") } //================

Consortium description: 3 Occurrences trouvées

omes with his experience in modeling and querying time sequences. These research activities are currentl... 002), and on the modelisation and manipulation of time in XML data (French "Action spécifique « Les temp... output mechanisms. Delivery can be scheduled real-time or deferred. Once set everything runs on a contin

Topic Extraction and Alignment for Large Scientific Document Collections: 3 Occurrences trouvées

of science by a set of topics over a sequence of time periods where topics from different periods can b... aligning semantic topic structures from different time periods. This alignment is based on a topic evolu... split, join, death, …) for topics from different time periods [1].The goal is to propose a formal topic

Project description: 3 Occurrences trouvées

and their "publication lag" corresponding to the time necessary for reaching these clients. For exampl... te of web search engines. In order to reduce the time interval necessary for an information published o... st in key-word based filtering, concatenating and time-stamp based reordering of several feeds. One goal

Formatting Syntax: 3 Occurrences trouvées

1 Col 3 | ^ Heading 4 | no colspan this time | | ^ Heading 5 | Row 2 Col... Col 3 | ^ Heading 4 | no colspan this time | | ^ Heading 5 | Row 2 C... locks described in the previous section, but this time the name of the language syntax to be highlighted

ANTM: An Aligned Neural Topic Model for Exploring Evolving Topics: 2 Occurrences trouvées

topics evolve as new knowledge is discovered over time. Here, we introduce a dynamic neural topic model ... the temporal similarity of document clusters over time and captures the semantic change of words charact

ANTM: An Aligned Neural Topic Model for Exploring Evolving Topics: 2 Occurrences trouvées

Wisdom: 2 Occurrences trouvées

Sujet de thèse: 2 Occurrences trouvées

Loading WatDiv Dataset: 2 Occurrences trouvées

Utilities: 2 Occurrences trouvées

Ancien TME Jointure 2017: 2 Occurrences trouvées

adapted-xmark-xsd: 2 Occurrences trouvées

SnowFlake query Q8 plans: 2 Occurrences trouvées

WatDiv Query C3 plans: 2 Occurrences trouvées

Résultats: 2 Occurrences trouvées

TME JDBC : Accès à un SGBD depuis Java: 1 Occurrences trouvées

Publications: 1 Occurrences trouvées

Publications: 1 Occurrences trouvées

Publications: 1 Occurrences trouvées