Library Automation and Digital Archive
LONTAR
Fakultas Ilmu Komputer
Universitas Indonesia

Pencarian Sederhana

Find Similar Add to Favorite

Call Number SEM-356
Collection Type Indeks Artikel prosiding/Sem
Title Penerapan Data Minning Dalam Email Filtering Menggunakan Metode Naive Bayesian
Author E . Didik Madyatmadja , Yuni Ramadhini , David JM Sembiring;
Publisher Prosiding medan,25-26 februari 2011 konferensi nasional sistem informasi 20011 information system: bridging gap between theories and practices (KNSI)
Subject
Location
Lokasi : Perpustakaan Fakultas Ilmu Komputer
Nomor Panggil ID Koleksi Status
SEM-356 TERSEDIA
Tidak ada review pada koleksi ini: 44741
Spam mail is an email which continuing from thousand of email users and usually contain of product/services/business promotion,pornography,virus and unnecessary emails. Until now, spam mail issues keep blooming by the develipong software as well, email filtering using variant of methods such as na´ve Bayesian classification , address block,association rules and other methods. From lost of email filtering methods, seems na´ve Bayesian has more accurateness level. In this final exam, writer would like to explain the na´ve Bayesian classification method of email filtering. Na´ve Bayesian filter was developed by bunch of email which had been classified into spam mail and legitimate. By learning process, the email filtering expected to be more accurate. Keywords : email filtering , Bayesian filter , na´ve bayes , spam email, legitimate mail.