Data Mining Tools: From Web to Grid Architectures
Identifieur interne : 001B10 ( Main/Exploration ); précédent : 001B09; suivant : 001B11Data Mining Tools: From Web to Grid Architectures
Auteurs : Davide Anguita [Italie] ; Arianna Poggi [Italie] ; Fabio Rivieccio [Italie] ; Marina Scapolla [Italie]Source :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2005.
Abstract
Abstract: The paradigm of Grid computing is establishing as a novel, reliable and effective method to exploit a pool of hardware resources and make them available to the users. Data-mining benefits from the Grid as it often requires to run time consuming algorithms on large amounts of data which maybe reside on a different resource from the one having the proper data-mining algorithms. Also, in recent times, machine learning methods have been available to the purposes of knowledge discovery, which is a topic of interest for a large community of users. The present work is an account of the evolution of the ways in which a user can be provided with a data-mining service: from a web interface to a Grid service, the exploitation of a complex resource from a technical and a user-friendliness point of view is considered. More specifically, the goal is to show the interest/advantage of running data mining algorithm on the Grid. Such an environment can employ computational and storage resources in an efficient way, making it possible to open data mining services to Grid users and providing services to business contexts.
Url:
DOI: 10.1007/11508380_63
Affiliations:
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Data-mining benefits from the Grid as it often requires to run time consuming algorithms on large amounts of data which maybe reside on a different resource from the one having the proper data-mining algorithms. Also, in recent times, machine learning methods have been available to the purposes of knowledge discovery, which is a topic of interest for a large community of users. The present work is an account of the evolution of the ways in which a user can be provided with a data-mining service: from a web interface to a Grid service, the exploitation of a complex resource from a technical and a user-friendliness point of view is considered. More specifically, the goal is to show the interest/advantage of running data mining algorithm on the Grid. Such an environment can employ computational and storage resources in an efficient way, making it possible to open data mining services to Grid users and providing services to business contexts.</div></front></TEI><affiliations><list><country><li>Italie</li></country></list><tree><country name="Italie"><noRegion><name sortKey="Anguita, Davide" sort="Anguita, Davide" uniqKey="Anguita D" first="Davide" last="Anguita">Davide Anguita</name></noRegion><name sortKey="Anguita, Davide" sort="Anguita, Davide" uniqKey="Anguita D" first="Davide" last="Anguita">Davide Anguita</name><name sortKey="Poggi, Arianna" sort="Poggi, Arianna" uniqKey="Poggi A" first="Arianna" last="Poggi">Arianna Poggi</name><name sortKey="Poggi, Arianna" sort="Poggi, Arianna" uniqKey="Poggi A" first="Arianna" last="Poggi">Arianna Poggi</name><name sortKey="Rivieccio, Fabio" sort="Rivieccio, Fabio" uniqKey="Rivieccio F" first="Fabio" last="Rivieccio">Fabio Rivieccio</name><name sortKey="Rivieccio, Fabio" sort="Rivieccio, Fabio" uniqKey="Rivieccio F" first="Fabio" last="Rivieccio">Fabio Rivieccio</name><name sortKey="Scapolla, Marina" sort="Scapolla, Marina" uniqKey="Scapolla M" first="Marina" last="Scapolla">Marina Scapolla</name><name sortKey="Scapolla, Marina" sort="Scapolla, Marina" uniqKey="Scapolla M" first="Marina" last="Scapolla">Marina Scapolla</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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