Clustering main concepts from E-mails

Jesús S. Aguilar-Ruiz, Domingo S. Rodriguez-Baena, Paul R Cohen, Jose Cristóbal Riquelme

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

E-mail is one of the most common ways to communicate, assuming, in some cases, up to 75% of a company's communication, in which every employee spends about 90 minutes a day in e-mail tasks such as filing and deleting. This paper deals with the generation of clusters of relevant words from E-mail texts. Our approach consists of the application of text mining techniques and, later, data mining techniques, to obtain related concepts extracted from sent and received messages. We have developed a new clustering algorithm based on neighborhood, which takes into account similarity values among words obtained in the text mining phase. The potential of these applications is enormous and only a few companies, mainly large organizations, have invested in this project so. far, taking advantage of employees's knowledge in future decisions.

Original languageEnglish (US)
Title of host publicationLecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)
EditorsR. Conejo, M. Urretavizcaya, J.-L. Perez-de-la-Cruz
Pages231-240
Number of pages10
Volume3040
Publication statusPublished - 2004
Externally publishedYes
Event10th Conference of the Spanish Association for Artificial Intelligence, CAEPIA, 2003 and 5th Conference on Technology Transfer, TTIA 2003 - San Sebastian, Spain
Duration: Nov 12 2003Nov 14 2003

Other

Other10th Conference of the Spanish Association for Artificial Intelligence, CAEPIA, 2003 and 5th Conference on Technology Transfer, TTIA 2003
CountrySpain
CitySan Sebastian
Period11/12/0311/14/03

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ASJC Scopus subject areas

  • Hardware and Architecture

Cite this

Aguilar-Ruiz, J. S., Rodriguez-Baena, D. S., Cohen, P. R., & Riquelme, J. C. (2004). Clustering main concepts from E-mails. In R. Conejo, M. Urretavizcaya, & J-L. Perez-de-la-Cruz (Eds.), Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science) (Vol. 3040, pp. 231-240)