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The boom of opinion-rich resources such as online review Websites, discussion groups, personal blogs and forums on the Web has attracted many research efforts on opinion mining. Positive and negative opinions represented in review documents are helpful information for governments to improve their services, for companies to market their products, and for customers to purchase their commodities. In...
In this paper we present an algorithm that, using Wikipedia as a reference, extracts semantic information from an arbitrary text. Our algorithm refines a procedure proposed by others, which mines all the text contained in the whole Wikipedia. Our refinement, based on a clustering approach, exploits the semantic information contained in certain types of Wikipedia hyperlinks, and also introduces an...
The Web has become versatile tool for almost all application today. The Web mining is an application of data mining. Without the Internet, life would have been almost impossible. The data available on the Web is so voluminous and heterogeneous that it becomes an essential factor to mine this available data to make it presentable & useful pertinent to a particular problem. Web mining deals with...
The 3 most important issues for anomaly detection based intrusion detection systems by using data mining methods are: feature selection, data value normalization, and the choice of data mining algorithms. In this paper, we study primarily the feature selection of network traffic and its impact on the detection rates. We use KDD CUP 1999 dataset as the sample for the study. We group the features of...
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