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In the biomedicine domain, a large number of papers are published every day, which is crucial to search for the relevant answers for the user's query. However, documents are not exactly what the users want. Instead, snippets, small segments from the documents, are more proper to meet the requirement of the users. Hence, this paper proposes a biomedical snippet retrieval framework to exactly locate...
Since preserving data locality is very important in MapReduce frameworks, the placement of jobs' input data becomes critical for MapReduce job performance. However, existing data placement strategies applied in MapReduce based file systems lack the efficient control of data storage. Some input data of jobs may concentrate in a few nodes, making slots contention on those nodes more aggressive and thereby...
A class of information systems composed of backbone networks and access networks is very popular. According to the complexity and organization forms of the class of information systems, two evolution formation mechanisms of the systems are constructed based on complex network theory. One of the mechanisms uses pre-planning and random access strategies, and the other uses pre-planning and preferential...
With the appearance of large-scale database and people's increasing concern about individual privacy, privacy-preserving data mining becomes a hot study area, to which the support vector machine(SVM) belongs. In this paper, a novel privacy-preserving SVM for horizontally partitioned data is given. It has comparable accuracy to that of an ordinary SVM as we obtain the SVM by using the distinct property...
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