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In recent years, great improvements took place in smartphone industry. Along with the development of cloud services and web applications, lots of developers also take great effort on developing smartphone applications. Among various applications related to social networks, LBS (Location Based Service) is the key technique which is the basic for social interactive activities. While GPS (global positioning...
In this paper, we optimize the performance of a cloud platform to effectively support cooperative spectrum sensing in a cognitive radio (CR) cloud network. This cloud uses the Apache Hadoop platform to run a cooperative spectrum sensing algorithm in parallel over multiple servers in the cloud. A cooperative spectrum sensing algorithm needs to process a very large number of spectrum sensing reports...
We presents data mining-based techniques for enabling data integration across deep web data sources. We target query processing across inter-dependent data sources. Thus, besides input-input and output-output matching of attributes, we also need to consider input-output matching. We develop data mining techniques for discovering the instances for querying deep web data sources from the information...
Increasingly, many data sources appear as online databases, hidden behind query forms, thus forming the deep Web. The popularity of this new medium for data dissemination is leading to new problems in data integration. Particularly, to enable data integration from multiple deep Web data sources, one needs to obtain the metadata for each of the data sources. Obtaining the metadata, particularly, the...
We propose to improve the effectiveness and scalability of graph based manifold ranking methods in image retrieval applications by emphasizing reliable images while damping the effect of noisy or irregular ones. Label information is firstly passed between most reliable data points, then propagated to less reliable ones on manifold structure. By treating these images inequivalently, undesirable effect...
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