Combining Web Usage Mining and XML Mining in a Real Case Study
Identifieur interne : 000599 ( Istex/Checkpoint ); précédent : 000598; suivant : 000600Combining Web Usage Mining and XML Mining in a Real Case Study
Auteurs : Federico Michele Facca [Italie]Source :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2007.
Abstract
Abstract: In this paper we report our first extended experiments on Conceptual Web log generation and XML Mining over generated Conceptual logs. Conceptual logs are XML Web server log containing rich information about the structure of a Web site and its content. Furthermore they can be automatically generated starting from a proper logging facility and a conceptual application model. This allows an easier analysis of the results of the mining process, thanks to the rich information provided and allows to perform the data mining process at different levels of abstraction. In this work we use WebML as conceptual model, and XMINE as mining tool; nevertheless the underlying idea is of general validity and can be applied to any other conceptual modeling framework and mining technique.
Url:
DOI: 10.1007/978-3-540-74951-6_2
Affiliations:
Links toward previous steps (curation, corpus...)
Links to Exploration step
ISTEX:ACB5DC4203EBD4099001BE6194B07CFF0B9FF13ALe document en format XML
<record><TEI wicri:istexFullTextTei="biblStruct:series"><teiHeader><fileDesc><titleStmt><title xml:lang="en">Combining Web Usage Mining and XML Mining in a Real Case Study</title>
<author><name sortKey="Facca, Federico Michele" sort="Facca, Federico Michele" uniqKey="Facca F" first="Federico Michele" last="Facca">Federico Michele Facca</name>
</author>
</titleStmt>
<publicationStmt><idno type="wicri:source">ISTEX</idno>
<idno type="RBID">ISTEX:ACB5DC4203EBD4099001BE6194B07CFF0B9FF13A</idno>
<date when="2007" year="2007">2007</date>
<idno type="doi">10.1007/978-3-540-74951-6_2</idno>
<idno type="url">https://api.istex.fr/document/ACB5DC4203EBD4099001BE6194B07CFF0B9FF13A/fulltext/pdf</idno>
<idno type="wicri:Area/Istex/Corpus">001339</idno>
<idno type="wicri:explorRef" wicri:stream="Istex" wicri:step="Corpus" wicri:corpus="ISTEX">001339</idno>
<idno type="wicri:Area/Istex/Curation">001227</idno>
<idno type="wicri:Area/Istex/Checkpoint">000599</idno>
<idno type="wicri:explorRef" wicri:stream="Istex" wicri:step="Checkpoint">000599</idno>
</publicationStmt>
<sourceDesc><biblStruct><analytic><title level="a" type="main" xml:lang="en">Combining Web Usage Mining and XML Mining in a Real Case Study</title>
<author><name sortKey="Facca, Federico Michele" sort="Facca, Federico Michele" uniqKey="Facca F" first="Federico Michele" last="Facca">Federico Michele Facca</name>
<affiliation wicri:level="1"><country xml:lang="fr">Italie</country>
<wicri:regionArea>Dipartimento di Elettronica e Informazione, Politecnico di Milano</wicri:regionArea>
<wicri:noRegion>Politecnico di Milano</wicri:noRegion>
</affiliation>
<affiliation wicri:level="1"><country wicri:rule="url">Italie</country>
</affiliation>
</author>
</analytic>
<monogr></monogr>
<series><title level="s">Lecture Notes in Computer Science</title>
<imprint><date>2007</date>
</imprint>
<idno type="ISSN">0302-9743</idno>
<idno type="eISSN">1611-3349</idno>
<idno type="ISSN">0302-9743</idno>
</series>
<idno type="istex">ACB5DC4203EBD4099001BE6194B07CFF0B9FF13A</idno>
<idno type="DOI">10.1007/978-3-540-74951-6_2</idno>
<idno type="ChapterID">2</idno>
<idno type="ChapterID">Chap2</idno>
</biblStruct>
</sourceDesc>
<seriesStmt><idno type="ISSN">0302-9743</idno>
</seriesStmt>
</fileDesc>
<profileDesc><textClass></textClass>
<langUsage><language ident="en">en</language>
</langUsage>
</profileDesc>
</teiHeader>
<front><div type="abstract" xml:lang="en">Abstract: In this paper we report our first extended experiments on Conceptual Web log generation and XML Mining over generated Conceptual logs. Conceptual logs are XML Web server log containing rich information about the structure of a Web site and its content. Furthermore they can be automatically generated starting from a proper logging facility and a conceptual application model. This allows an easier analysis of the results of the mining process, thanks to the rich information provided and allows to perform the data mining process at different levels of abstraction. In this work we use WebML as conceptual model, and XMINE as mining tool; nevertheless the underlying idea is of general validity and can be applied to any other conceptual modeling framework and mining technique.</div>
</front>
</TEI>
<affiliations><list><country><li>Italie</li>
</country>
</list>
<tree><country name="Italie"><noRegion><name sortKey="Facca, Federico Michele" sort="Facca, Federico Michele" uniqKey="Facca F" first="Federico Michele" last="Facca">Federico Michele Facca</name>
</noRegion>
<name sortKey="Facca, Federico Michele" sort="Facca, Federico Michele" uniqKey="Facca F" first="Federico Michele" last="Facca">Federico Michele Facca</name>
</country>
</tree>
</affiliations>
</record>
Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Wicri/Rhénanie/explor/UnivTrevesV1/Data/Istex/Checkpoint
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000599 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/Istex/Checkpoint/biblio.hfd -nk 000599 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien |wiki= Wicri/Rhénanie |area= UnivTrevesV1 |flux= Istex |étape= Checkpoint |type= RBID |clé= ISTEX:ACB5DC4203EBD4099001BE6194B07CFF0B9FF13A |texte= Combining Web Usage Mining and XML Mining in a Real Case Study }}
![]() | This area was generated with Dilib version V0.6.31. | ![]() |