Detail Neural Networks for Web Content Filtering   Oleh:  Lee, P. Y. ; Hui, S. C. ; Fong, A. C. M. Jenis: Article from Bulletin/Magazine Dalam koleksi: IEEE Intelligent Systems vol. 17 no. 5 (2002), page 48-57. Topik: FILTERING; neural networks; web content; filtering Ketersediaan Perpustakaan Pusat (Semanggi) Nomor Panggil: II60.5 Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada     Lihat Detail Induk Isi artikel With the proliferation of harmful Internet content such as pornography, violence, and hate messages, effective content - filtering systems are essential. Many Web - filtering systems are commercially available, and potential users can download trial versions from the Internet. However, the techniques these systems use are insufficiently accurate and do not adapt well to the ever - changing Web. To solve this problem, we propose using artificial neural networks to classify Web pages during content filtering. We focus on blocking pornography because it is among the most prolific and harmful Web content. However, our general framework is adaptable for filtering other objectionable Web material. Opini Anda Klik untuk menuliskan opini Anda tentang koleksi ini! Kembali

Copyright © 2006, 2007 Unika Atma Jaya, all rights reserved