Implementation of intelligent searching using self-organizing map for web mining used in document containing information related to cyber terrorism
The terrorism activities are not only in real world as development of technology,rnbut also in cyber world. Terrorism activities in cyber world are called cyber terrorism.rnOne of methodology for cyber terrorism detection is by applying data miningrnalgorithm to textual content of terrorism related web pages. Web mining isrntechnology applied to extract information from the web. By using web mining, cyberrnterrorism information will be collected from internet. This research aims to use textrncluster technique, which the web documents are clustered using Self-Organizing Maprnalgorithm based on number of occurrences of the certain words in documents thatrnhave relevance to cyber terrorism. The result shows mapping of the clusteredrndocuments that have performance 6.1 and 22.75 based on vector quantization errorrn(VQE). According this result, it concludes Self-Organizing Map (SOM) is able tornvisualize the cluster from high-dimensional data to 2-dimensional data.
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