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Mobile phones are quickly becoming the primary source for social and behavioral sensing and data collection. A great deal of research effort in academia and industry is put into mining this data for higher level sense-making, such as understanding user context, inferring social networks, learning individual features, and so on. In this work, we have an attempt to predict a user's status in campus,...
An important issue arising from Web databases fuzzy query is how to rank the answers from data sources, this paper investigates the problem of ranking the answers by taking advantage of the user's needs and preferences. Firstly, based on fuzzy set theory, a satisfaction degree ranking method, which ranks the answer according to the tuple's satisfaction degree to the fuzzy query, is presented. Next,...
The research was based on the massive data authorized by CAIDA (The cooperative association for Internet data analysis) Skitter project. We used the k-core decomposition to disentangle the hierarchical structure of Internet router-level topology. Combining with the actual topology measuring data, we first exhibited the pruning procedure of Internet router-level topology. Then we analyzed the characteristics...
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