Titlebook: Web Technologies and Applications; APWeb 2015 Workshops Ruichu Cai,Kang Chen,Lei Zou Conference proceedings 2015 Springer International Pub

不发音

A Method of Text Classification Combining Naive Bayes and the Similarity Computing Algorithms actual data, and the results are compared with those of Bayesian algorithm and similarity computing algorithm respectively. The results show that the proposed method achieves a higher precision rate.

地牢

Mining the Discriminative Word Sets for Bag-of-Words Model Based on Distributional Similarity GraphoW model. Experiments on data sets demonstrate that the proposed method is applicable for both text sets and image sets, and has advantages in producing better retrieval precision and meanwhile reducing the lexicon size.

皱痕

Mining the Discriminative Word Sets for Bag-of-Words Model Based on Distributional Similarity GraphoW model. Experiments on data sets demonstrate that the proposed method is applicable for both text sets and image sets, and has advantages in producing better retrieval precision and meanwhile reducing the lexicon size.

使长胖

修改

humectant

Application of Big Data Processing Technology in the Intelligent Network Management Systemquirements of various data in the Intelligent Network Management system, propose reasonable solutions for large data processing, provide a guide for data processing of Network Operation Data Center in Intelligent Network Management platform in China Telecom.

Aesthete

Jacket

Estimating the Missing Traffic Speeds via Continuous Conditional Random Fieldsn this paper, we propose to adopt the Continuous Conditional Random Fields (CCRFs) model [.] to estimate the missing historical traffic data. We exam the proposed method with a real traffic speed dataset, results show that it is superior to the comparison algorithms.

松鸡

Munificent

Research of Botnet Situation Awareness Based on Big Dataough of large scale botnet situation awareness. This article discusses about botnet security situation awareness based on multi-source logs by utilizing big data analysis. It promotes detection accuracy and fast response of botnet events, and implements the early warning for DDoS attacks.