A novel association-based algorithm EmailinClass is proposed for incremental Email classification. In view of the fact that the basic semantic unit in an Email is actually a sentence, and the words within the same sen...A novel association-based algorithm EmailinClass is proposed for incremental Email classification. In view of the fact that the basic semantic unit in an Email is actually a sentence, and the words within the same sentence are typically more semantically related than the words that just appear in the same Email, EmailInClass views a sentence rather than an Email as a transaction. Extensive experiments conducted on benchmark corpora Enron reveal that the effectiveness of EmallInClass is superior to the non-incremental alternatives such as NalveBayes and SAT-MOD. In addition, the classification rules generated by EroaillnClass are human readable and revisable,展开更多
本文致力于提高非协作方式下IPv6接入网络拓扑发现的覆盖率,首先建立了描述IPv6接入网络的前缀聚合树模型(PATM,Prefix Aggregation Tree Model),然后提出了基于PATM模型的网络拓扑发现方法。最后给出了对华东某高校IPv6校园网的拓扑发...本文致力于提高非协作方式下IPv6接入网络拓扑发现的覆盖率,首先建立了描述IPv6接入网络的前缀聚合树模型(PATM,Prefix Aggregation Tree Model),然后提出了基于PATM模型的网络拓扑发现方法。最后给出了对华东某高校IPv6校园网的拓扑发现测试结果。通过对测试数据进行的分析和对比,验证了基于PATM模型的拓扑发现方法的有效性。展开更多
基金The National Natural Science Foundationof China (No.60303030) and the Natural Science Foundationof Chongqing (No.8721)
文摘A novel association-based algorithm EmailinClass is proposed for incremental Email classification. In view of the fact that the basic semantic unit in an Email is actually a sentence, and the words within the same sentence are typically more semantically related than the words that just appear in the same Email, EmailInClass views a sentence rather than an Email as a transaction. Extensive experiments conducted on benchmark corpora Enron reveal that the effectiveness of EmallInClass is superior to the non-incremental alternatives such as NalveBayes and SAT-MOD. In addition, the classification rules generated by EroaillnClass are human readable and revisable,
文摘本文致力于提高非协作方式下IPv6接入网络拓扑发现的覆盖率,首先建立了描述IPv6接入网络的前缀聚合树模型(PATM,Prefix Aggregation Tree Model),然后提出了基于PATM模型的网络拓扑发现方法。最后给出了对华东某高校IPv6校园网的拓扑发现测试结果。通过对测试数据进行的分析和对比,验证了基于PATM模型的拓扑发现方法的有效性。
