Library Automation and Digital Archive
LONTAR
Fakultas Ilmu Komputer
Universitas Indonesia

Pencarian Sederhana

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Call Number SEM-363
Collection Type Indeks Artikel prosiding/Sem
Title comparison study on maximum conditional expectation of the bayesian posterior distribution with classification using decision(385-394)
Author bernado N. yahya1, siana halim2, fandlie pariyanto3;
Publisher The Eight international conference on information integration and web-based applications & services (iiWAS2006)
Subject
Location
Lokasi : Perpustakaan Fakultas Ilmu Komputer
Nomor Panggil ID Koleksi Status
SEM-363 TERSEDIA
Tidak ada review pada koleksi ini: 47764
in this paper we studied two methods i,e., the information gain and the bayesian conditional expetation classification. these two methods are used to classify the information from the existing data. the bayesian conditional expection is an improvement from the naive bayesian clasification. on the bayesian clasification, we use the maximum conditional expectational of the information gain for the preliminary steps we cleaned and categorized the data for obataining useful information then we analyzed the clasification analysis which is deduced from decision tree to assess the existing