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This paper presents an investigation into the Website Boundary Detection (WBD) problem in the dynamic context. In the dynamic context (as opposed to the static context) the web data to be considered is not fully available prior to the start of the website boundary detection process. The dynamic approaches presented in this paper are all probabilistic and based on the concept of random walks, three...
With increasing amount of information (video, text) being available today, it has become non-trivial to develop techniques to categorize documents into contextually meaningful classes. The information as available in the documents is composed of sequence of events termed as patterns. It is evident to know the important trends as observed from patterns that are emerging over a specific time period...
Information overload is an increasing challenge for the enterprise knowledge worker. Traditional information retrieval, i.e. Search-based approaches for knowledge management in the enterprise are under strain because users do not have the time to search, often they are not even aware that material relevant to they current needs exists. Neither do they have the time to track the various external news...
In this paper, we propose two methods to measure the semantic similarity for multi-lingual and short texts by using Wikipedia. In recent years, people around the world have been continuously generating information about their local area in their own languages on social networking services. Measuring the similarity between the texts is challenging because they are often short and written in various...
This paper proposes a new framework for evaluation of cross-validation methods for rule induction based on statistical indices by using decremental sampling scheme, which is dual to incremental sampling scheme. The formal analysis of leave-one-out method for rule induction enables us to estimate error rate and other statistical indices, where the bias of error rate is represented by equations of given...
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