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In this paper, we present an improved context quantization algorithm based on a hybrid K-means and ant colony clustering algorithm. The K-means clustering algorithm is used to construct the initial solution for a context quantization problem. An ant colony based clustering algorithm is then used to improve the quality of the solution. During each iteration, objects are assigned to respective clusters...
Many internet-based applications such as social networking websites, online viral marketing, and recommendation network based applications, use social network analysis to improve performance in terms of user-specific information dissemination. The notion of community in a social network is a key concept in such analyses and there has been significant work recently in identifying communities within...
We study the problem of detecting and profiling terrorists using a combination of ordinary flat classifiers and relational information. Our starting point is a database for a set of individuals characterized by both ldquolocalrdquo attributes such as age and criminal background, and ldquorelationalrdquo information such as communications among a subset of the individuals. A subset of the individuals...
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