Présentation
Appel à communications
Programme
Infos pratiques
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Programme provisoire :
| 09H30 |
Accueil
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| 10H00 |
Conférence
invitée 1 : "Introduction au traitement des flux de données : du requêtage à la fouille",
Georges Hébrail, Telecom-ParisTech.
Résumé :
Human activity is nowadays massively supported by computerized
systems. These systems handle data to achieve their operational goals and it
is often of great interest to query and mine such data with a different
goal: the supervision of the system. The supervision process is often
difficult (or impossible) to run because the amount of data to analyze is
too large to be stored in a database before being processed, due in
particular to its historical dimension.
This problem has been studied intensively for several years, mainly by
researchers from the database field. A new model of data management has been
defined to handle "data streams" which are infinite sequences of structured
records arriving continuously in real time. This model is supported by newly
designed data processing systems called "Data Stream Management Systems".
These systems can connect to one or several stream sources and are able to
process "continuous queries" applied both to streams and standard data
tables. These queries are qualified as continuous because they stay active
for a long time while streaming data are transient. The key feature of these
systems is that data produced by streams are not stored permanently but
processed "on the fly". Note that this is the opposite of standard database
systems where data are permanent and queries are transient. Such continuous
queries are used typically either to produce alarms when some events occur
or to build aggregated historical data from raw data produced by input
streams.
As data stored in data bases and warehouses are processed by mining
algorithms, it is interesting to mine data streams, i.e. to apply data
mining algorithms directly to the streams instead of storing them beforehand
in a database. This problem has also been studied a lot and new data mining
algorithms have been developed to be applicable directly to streams. These
new algorithms process data streams "on the fly" but they can also provide
results based on a portion of the stream instead of the whole stream already
seen. Portions of streams are defined by fixed or sliding windows.
We will provide an introduction to the data stream management and mining
field. First, the main applications which motivated these developments will
be presented (telecommunications, computer networks, stock market, security,
...) and the new concepts related to data streams will be introduced
(structure of a stream, timestamps, time windows, ...). A second part will
present the main concepts and architectures related to Data Stream
Management Systems. The third part will present the main results about the
adaptation of data mining algorithms to the case of streams.
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| 11H00 |
Session de communications 1
- Annotation morpho-syntaxique d'un corpus oral par
enchaînements de CRF
Isabelle Tellier, Iris Eshkol, Samer Taalab
Université d'Orléans
(Résumé)
- Extraction de motifs séquentiels à partir de traces
d'utilisation pour la construction automatique de modèles de
tâches dans les systèmes tutoriels intelligents (pdf)
Philippe Fournier-Viger*, Engelbert Mephu Nguifo**, Roger
Nkambou*
*Université du Québec, **LIMOS, Université Blaise
Pascal
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| 11H40 |
Pause |
| 11H50 |
Conférence
invitée 2 : "Utilisation de la fouille de séquences
appliquée au texte",
Thierry Charnois, Peggy Cellier, GREYC.
(Résumé)
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| 12H50 |
Déjeuner sur place
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| 14H00 |
Conférence
invitée 3 : "Extraction de motifs séquentiels ... mythes
et
réalités",
Sandra Bringay, Cemagref - Institut de recherche pour la
gestion durable des eaux et des territoires.
(Résumé) |
| 15H00 |
Session de communications 2
-
Classification et modélisation stochastique de séries temporelles de la vitesse du vent (pdf)
Rudy Calif*, Richard Emilion**
* GRER Université des Antilles et de la Guyane, ** MAPMO, Université d'Orléans
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| 15H40 |
Conférence
invitée 4 : "Contributions de l'inférence grammaticale à la fouille de données séquentielles
Stéphanie Jacquemont, Laboratoire Hubert
Curien
(Résumé)
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16H40
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Discussion et fin |
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