Titlebook: Big Data – BigData 2018; 7th International Co Francis Y. L. Chin,C. L. Philip Chen,Liang-Jie Zha Conference proceedings 2018 Springer Inter

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PAGE: Answering Graph Pattern Queries via Knowledge Graph Embeddinge graphs include incorrect or incomplete information. In this paper, we present a method called . that answers graph pattern queries via knowledge graph embedding methods. . computes the energy (or uncertainty) of candidate answers with the learned embeddings and chooses the lower-energy candidates

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Distributed Big Data Ingestion at Scale for Extremely Large Community of Usersas been designed and implemented which employs distributed blob store, custom compression, and custom query algorithm, including filtering, joins and group by. The system has been in operation at eBay for years and is described in [.]. However, large scale ingestion of data to a distributed blob sto

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Convolutional Neural Network Ensemble Fine-Tuning for Extended Transfer Learninger monitoring, assault detection), safety (fire detection, distracted driving), geo-monitoring (cloud, rock and crop-disease detection). Convolutional Neural Networks(CNNs) are effective for those applications. However, they need to be trained with a huge number of examples and a consequently huge t

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The Application of Machine Learning Algorithm Applied to 3Hs Risk Assessmentcontaining Body Mass Index (BMI), Waist Circumference (WC), Hip Circumference (HC), Waist-to-hip Ratio (WHR), Waist-to-height Ratio (WHtR) and disease history, disease history of family, dietary and etc. obtained conveniently and noninvasively, this article mainly set up two models to study the appl

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