Übersicht			Auf mobile öffnen

Lieferstatus:	i.d.R. innert 5-10 Tagen versandfertig
Veröffentlichung:	Dezember 2013
Genre:	EDV / Informatik
ISBN:	9783639706048
EAN-Code:	9783639706048
Verlag:	Scholars' Press
Einband:	Kartoniert
Sprache:	English
Dimensionen:	H 220 mm / B 150 mm / D 5 mm
Gewicht:	107 gr
Seiten:	60
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

Web spamming has tremendously subverted the ranking mechanism of information retrieval in Web search engines. It manipulates data source maliciously either by contents or links with the intention of contributing negative impacts to Web search results. The altering order of the search results by spammers has increased the difficulty level of searching and time consumption for Web users to retrieve relevant information. In order to improve the quality of Web search engines results, the design of anti-Web spam technique is developed to detect Web spam using Artificial Neural Network. This alternative machine learning classifier namely multilayered perceptron neural network further improve the detection rate of Web spam. In the experiments, the detection rate of Web spam using multilayered perceptron neural network has increased up to 14.02% and 3.53% over the conventional classifier - support vector machines. At the same time, a mechanism to determine the number of hidden neurons for multilayered perceptron neural network is presented to simplify the designing process of network structure.