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There are so many web data hidden behind so-called deep web and can only be accessed through query interfaces, and the data volume is increasing. We often need to fill forms over alternative interfaces in the same domain to select the best product or service, such as buying a book across various online book websites to choose the most affordable one. Integrating these web interfaces in the same domain...
There has been an increasing research interest in classification for data streams. Due to the evolving nature of data streams, it is a highly challenging issue to detect the appearance of concept drifts, which will make the current classification model invalid as time passes. So far most stream classification solutions exploit the so-called incremental learning process to continuously track the deviation...
Relevance feedback (RF) is an effective method for content-based image retrieval (CBIR), and it is also a feasible step to shorten the semantic gap between low-level visual feature and high-level perception. In this paper, a SVM-based RF algorithm is proposed to improve performance of image retrieval. In classifier training, a sample expanding scheme is adopted to balance the proportion of positive...
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