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This paper concerns the fundamental problem of processing conjunctive queries that contain both keyword conditions and range conditions on public clouds in a privacy preserving manner. No prior Searchable Symmetric Encryption (SSE) based privacy-preserving conjunctive query processing scheme satisfies the three requirements of adaptive security, efficient query processing, and scalable index size...
Classification of microarray data has always been a challenging task due to the enormous number of genes. Finding a small, closely related gene set to accurately classify disease cells is an important research problem. Integrating biological knowledge into genomic analysis to help to improve the interpretation of the results is an effective approach. In this paper, affinity propagation (AP) clustering...
The common classification is conducted under the supervised learning algorithms, which design classifiers through learning the labeled training samples. However, in actual situations, it is very costly to acquire class-labeled samples, because manually labeling documents requires a lot of time and efforts from experts. Therefore, it restrains the text classification to a great extent. To solve the...
To analyze online interactive systems, accurate historical log files are required which can support visualization of the changes in the characteristics of tile access traffic. It can be used to analyze system running behavior and users' interaction modes, to design better system performance and optimization methods. Unfortunately, it takes a long time to collect such highly accurate log file data...
Based on SLEUTH urban growth model and Technology of GIS and RS, the process of urban growth of Xinxiang City from 1989 to 2009 was simulated, and the process of urban growth from 2010 to 2050 was predicted. The result illuminated that SLEUTH model had a credible accuracy, and it could well describe Xinxiang city's extension to the southeast as a whole during 20-year period. The city's area increased...
Data assimilation is an advanced and innovative set of techniques for variable estimation, especially in agriculture research in recent years, which integrates not only remote sensing data products, other measurements, but also land dynamic models. It can provide more abundant and precise data set, and extend data's spatiotemporal scale. In this paper, firstly composition and assimilation methods...
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