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22017 IEEE International Conference on Computational Science and Engineering (CSE) and IEEE International Conference on Embedded and Ubiquitous Computing (EUC)
Web attacks are increasing and the scale of malicious URL continues to expand with the rapid development of the Internet, so that the network security situation is increasingly grim. In this case, this paper studies the URL multi-classification problem, which is a continuation of the reference [1] and follows the data sets and most of feature selection methods in it. Firstly, different types of URL...
A novel differential evolution algorithm is proposed for constrained optimization problems (COPs). The proposed algorithm combines the ideas between the self-adaptive differential evolution algorithm (JDE) and simple penalty function method (SPFM). Simulation results on the bump problem show that the solutions of the new algorithm is better than those of the algorithms in the almost exiting literature...
Due to the imbalanced distribution of business data, missing of user features and many other reasons, directly using big data techniques on realistic business data tends to deviate from the business goals. It is difficult to model the insurance business data by classification algorithms like Logistic Regression and SVM etc. This paper exploits a heuristic bootstrap sampling approach combined with...
With the rapid development of Internet, we have entered an era of information explosion, there is a lot of redundant information in the Network. How to extract a useful part of this information from the massive information resources, analyzing the vast amount of information and finally get the potential knowledge we want to extract. Web mining technology came into being, and saved out the human from...
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