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Web database crawling is a promising solution for Deep Web data integration. To the best of our knowledge, the existing approaches only focused on how to crawl all records in a web database. Due to the high dynamic of most web databases, it is not practical to harvest a small proportion of new records by crawling the whole database. This paper studies the problem of incremental web database crawling,...
In order to plan the network construction reasonable and ensure the quality of network service, it is important to measure the Link-bandwidth utilization and get the flow information. One of the methods to monitor network efficiently is based on flow-conservation, and the problem of searching a solution for this method could be deduced to solving weak vertex cover problem, which has been proved NP-hard...
The well-known Wikipedia can serve as a comprehensive knowledge repository to facilitate textual content analysis, due to its abundance, high quality and well-structuring. In this paper, we propose WikiRank - a Wikipedia-graph based ranking model, which can be used to extract key Wikipedia concepts from a document. These key concepts can be regarded as the most salient terms to represent the theme...
In this paper, we study semisupervised linear dimensionality reduction. Beyond conventional supervised methods which merely consider labeled instances, the semisupervised scheme allows to leverage abundant and ample unlabeled instances into learning so as to achieve better generalization performance. Under semisupervised settings, our objective is to learn a smooth as well as discriminative subspace...
With ever increasing amount of available data on protein-protein interaction (PPI) networks, understanding the topology of the networks and then biochemical processes in cells has become a key problem. Modular architecture which encompasses groups of genes/proteins involved in elementary biological functional units is a basic form of the organization of interacting proteins. Here we propose a method...
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