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Keyword clustering is useful for text information retrieval, text document classification and so on. This paper introduces an unsupervised method to cluster Chinese keyword by the artificial neural network of SOM (self-organized map). Keywords are encoded into numeric vectors by the similarities of their contextual
Addressing the problem of spam emails in the Internet, this paper presents a comparative study on Nai??ve Bayes and Artificial Neural Networks (ANN) based modeling of spammer behavior. Keyword-based spam email filtering techniques fall short to model spammer behavior as the spammer constantly changes tactics to
This paper surveys intelligent systems (IS) applications using a literature review and classification of articles from 1956 to 2009 with a keyword index and article abstract in order to explore how IS applications in the field of fraud detection and prevention have developed during this period. Based on the scope of
Multi-label image annotation has received significant attention in the research community over the past few years. Multi-label automatic image annotation assigns keywords to the image based on low level features automatically. In this paper, we present an extensive survey on the research work carried out in the area
filtering recommendation is implemented using intelligent agents. The agents work together for recommending meaningful training courses and updating the course information. The system uses a users profile and keywords from courses to rank courses. A ranking accuracy for courses of 90% is achieved while flexibility is achieved
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.