SPAM detection: Naïve bayesian classification and RPN expression-based LGP approaches compared

An investigation is performed of a machine learning algorithm and the Bayesian classifier in the spam-filtering context. The paper shows the advantage of the use of Reverse Polish Notation (RPN) expressions with feature extraction compared to the traditional Naïve Bayesian classifier used for spam detection assuming the same features. The performance of the two is investigated using a public corpus and a recent private spam collection, concluding that the system based on RPN LGP (Linear Genetic Programming) gave better results compared to two popularly used open source Bayesian spam filters. © Springer International Publishing Switzerland 2016

РОЗРОБКА ІДЕНТИФІКАЦІЙНОЇ СИСТЕМИ ЗБОРУ, ОБЛІКУ, ОБРОБКИ ТА АНАЛІЗУ ПОКАЗНИКІВ ТЕХНІЧНОЇ ЕКСПЛУАТАЦІЇ ЕЛЕКТРОПОТЯГІВ

A system of the account, processing and analysis of parameters of operation and serviceability of rolling stock, which is currently under development, is presented in the article.Представлена разрабатываемая система учета, обработки и анализа показателей технической эксплуатации и надежности подвижного состава.Наведена розроблювальна система обліку, обробки й аналізу показників технічної експлуатації й надійності рухомого складу

РОЗРОБКА ІДЕНТИФІЦІЙНОЇ СИСТЕМИ ЗБОРУ, ОБЛІКУ, ОБРОБКИ ТА АНАЛІЗУ ПОКАЗНИКІВ ТЕХНІЧНОЇ ЕКСПЛУАТАЦІЇ ЕЛЕКТРОПОТЯГІВ

The developed system of the account, processing and the analysis of parameters of operational exploitation and serviceability of a rolling stock are presented in the article.В статье представлена разрабатываемая система учета, обработки и анализа показателей технической эксплуатации и надежности подвижного состава.У статті наведена система обліку, обробки й аналізу показників технічної експлуатації і надійності рухомого складу

The performance of cross-border units in China: a test of natural selection, strategic choice and contingency theories

This study tests the explanatory power of three theoretical frameworks for the performance of cross-border affiliates, by examining the experience of 615 Hong Kong firms managing operations in mainland China. The frameworks tested are: the natural selection approach, focused on the influence of the environment; the strategic choice approach, focused on managerial action; and the contingency approach, which emphasises the ‘fit’ between environmental contingencies and internal organisation. The results show that natural selection and strategic choice have a role to play, even when controlling for each other. They also support a simple approach to contingency, but not a more complex version involving interactions. Although the business and institutional environments do have a significant influence on the performance of cross-border affiliates in a transition economy, performance can be improved through strategic managerial action. In particular, leveraging local resources by developing trust between parent and affiliate, and maintaining close control and integration with the parent, are associated with enhanced performance. Journal of International Business Studies (2003) 34, 242–254. doi:10.1057/palgrave.jibs.8400033