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Efficient retrieval of traffic archival data is a must-have technique to detect network attacks, such as APT(advanced persistent threat) attack. In order to take insight from Internet traffic, the bitmap index is increasingly used for efficiently querying over large datasets. However, a raw bitmap index leads to high space consumption and overhead on loading indexes. Various bitmap index compression...
Co-training is a semi-supervised learning paradigm that trains some classifiers and let them label some unlabelled instances for each other during the learning process. One challenge of the co-training style algorithm is to train an initial weakly useful predictor when the number of labeled instances is very limited. In this paper, we use Teaching-to-learn and Learning-to-teach strategy, which each...
In recent years? the study of social network is raising more and more attentions of researchers, locating the key nodes in social network is a hot research point. Lots of papers about how to discover the key nodes in social network such as mail network, micro log network was published. However, few people study on key nodes discovery in logistics network. In addition, most of methods of key nodes...
With the growing popularity of the network, product information filled in the many pages of the Internet, which you want to get the information you need on these pages tend to consider clustering information, and the current explosive growth of data so that the information mass storage condition occurs, clustering to facing the problems such as large calculation complexity and time consuming, then...
The technology of Internet information source discovery on specific topic is the groundwork of information acquisition in current big data era. This paper presents a multi-seeds cocitation algorithm to find new Internet information sources. The proposed algorithm is based on cocitation, but what difference with the traditional algorithms is that we use multiple websites on specific topic as input...
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