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Synonyms extraction is a fundamental research, which is helpful to text mining and information retrieval. In this paper, we propose method to extract synonymy from text, the method employs spectral clustering and word2vec. First, the word2vec model is trained by a large-scale English Wikipedia corpus. Then, we extract keywords from a text and use the trained model to generate similarities among these...
A summary of a user's Internet activities, such as web visits, can closely reflect their interests and preferences. However, automating the summarization process is not trivial as it should strike a good balance between generality and specificity, while there is no gold standard for doing so. In our approach to summarizing user information, we introduce two scoring mechanisms that cooperatively optimize...
Content Centric Network (CCN), a typical incarnation of the Information Centric Network (ICN), which is an active research topic of Future Internet Architecture. Naming the content's chunks, retrieving and forwarding the content chunks according to their names are the core ideas of CCN. But the length of the content's name is variable length, which is an obvious difference from the IP address in the...
Packet classification is one of the most critical techniques in many network devices such as firewall, IDS and IPS, etc. In order to meet the performance requirement for high speed Internet (even higher than 10 Gbps), practical algorithms must keep better spatial and temporal performance. Moreover, as the size of rule set is increasing to tens of thousands, novel packet classification algorithms must...
This paper discussed the mail community partition and the property of the mail community, and proposed an algorithm, called ACCD/C, to partition mail communities based on adjusting community center dynamically with correction. The algorithm adopted a method of cosine measure to evaluate the similarity between two mailboxes based on the characteristics of mailboxes' communication behavior, partition...
During the past decade, the packet classification problem has been widely studied to accelerate network applications such as access control, traffic engineering and intrusion detection. In our research, we found that although a great number of packet classification algorithms have been proposed in recent years, unfortunately most of them stagnate in mathematical analysis or software simulation stages...
Anti-virus applications play an important role in today's Internet communication security. Virus scanning is usually performed on email, Web and file transfer traffic flows at intranet security gateways. The performance of popular anti-virus applications relies on the pattern matching algorithms implemented in these security devices. The growth of network bandwidth and the increase of virus signatures...
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