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In Web database integration, crawling data pages is important for data extraction. The fact that data are contained by multiple result pages increases the difficulty of accessing data for integration. Thus, it is necessary to accurately and automatically crawl query result pages from Web database. To address this problem, we propose a novel approach based on URL classification to effectively identify...
The paper proposes a method of collapsed buildings extraction from post-earthquake airborne images. Firstly, training and validation samples are selected, and feature extraction is conducted through morphological profiles and texture statistics based on gray-level co-occurrence matrix, and then support vector machine classifier is used to extract collapsed buildings. An initial experiment is carried...
Detecting changes in stock prices is a well known problem in finance with important implications for monitoring and business intelligence. Forewarning of changes in stock price, can be made by the early detection of changes in the distributions of stock order numbers. In this paper, we address the change detection problem for streams of stock order numbers and propose a novel incremental detection...
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