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Big data systems for reinforcement learning have often exhibited problems (e.g., failures or errors) when their components involve stochastic nature with the continuous control actions of reliability and quality. The complexity of big data systems and their stochastic features raise the challenge of uncertainty. This article proposes a dynamic coherent quality measure focusing on an axiomatic framework...
The comprehensive analysis on historical and real-time big data delivers huge business value, explores business intelligence, and assists in developing marketing strategies. This talk uses traffic information cloud as an example to show how big data is used to improve the accuracy and coverage of traffic information. Taiwan government is investing Traffic Info. cloud services to bring new business...
Profiling network traffic pattern is an important approach for tackling network security problem. Based on campus network infrastructure, we propose a new method to identify randomly generated domain names and pinpoint the potential victim groups. We characterize normal domain names with the so called popular 2gram (2 consecutive characters in a word) to distinguish between active and nonexistent...
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