dc.creatorChulilla, Juan Luis
dc.creatorAzagra, Pilar
dc.date.accessioned2019-09-23T12:34:11Z
dc.date.accessioned2023-03-07T19:24:34Z
dc.date.available2019-09-23T12:34:11Z
dc.date.available2023-03-07T19:24:34Z
dc.date.created2019-09-23T12:34:11Z
dc.identifier1989-1660
dc.identifierhttps://reunir.unir.net/handle/123456789/9334
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/5903721
dc.description.abstractThe recent development of social mining is a useful and direct analogy to talking about the less visible part of the adoption of successive waves of social software. The striking fact of visibility decrease as each type of social software matures should be taken into account for any comprehensive analysis of the relation between collectives and Internet technologies. One of the main results of this relation is the social data mining of Internet, which both gives sense to virtual communities and produces contents via feedback. We are just at the beginning of the adoption of new ways of social data mining, which will be significant when grow mature and become invisible.
dc.languageeng
dc.publisherInternational Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI)
dc.relation;vol. 01, nº 02
dc.relationhttps://ijimai.org/journal/node/13
dc.rightsopenAccess
dc.subjectweb mining
dc.subjectweb 2.0
dc.subjectIJIMAI
dc.titleUncoolness factor of collaborative Web Mining Tools (WMT)
dc.typearticle


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