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Klassificering av e-post – En undersökning av handledda klassificeringsmetoder.
KTH, School of Computer Science and Communication (CSC).
2011 (Swedish)Independent thesis Advanced level (professional degree), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

This report discusses methods for automatic classification of email i.e. categorization of mails with respect to their content. Methods used for classification are described for an arbitrary number of categories but especially for the binary case. The algorithms are also analyzed through implementation and evaluation of a spam filter based on these methods. In addition to classification algorithms, the report also includes language analysis of e-mails, weighting principles and a review of modern spam techniques.

Abstract [sv]

Denna rapport behandlar metoder för automatisk klassificering av e-post d.v.s. kategorisering av brev med avseende på deras innehåll. Metoder för klassificering beskrivs i rapporten för ett godtyckligt antal kategorier men speciellt för det binära fallet. Algoritmerna analyseras även genom implementation och utvärdering av ett spamfilter baserat på dessa metoder. Utöver klassificeringsalgoritmer innehåller även rapporten språkanalys av e-postbrev, viktningsprinciper och en genomgång av moderna spamtekniker.

Place, publisher, year, edition, pages
Kandidatexjobb CSC, K11086
National Category
Computer Science
URN: urn:nbn:se:kth:diva-130845OAI: diva2:654292
Educational program
Master of Science in Engineering - Computer Science and Technology
Available from: 2013-10-07 Created: 2013-10-07

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