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We have deployed a big data platform for the insurance company. One can select the data they need from database, do data analysis job and save the final model to the model pool using the platform. We completed churn prediction task on both SPSS [1] and Spark [7] using the data providing by X insurance company and carefully compared the execution flow, runtime, model evaluation, and model precision...
This paper proposed an approach to rapidly generate 3D models for street-side buildings from street-side images, remote sensing images, and GPS information. Traditional modeling methods usually require a single user to fulfill all processes of 3D modeling, and lack efficient management on massive data. Thus, they are unsuitable for large-scale modeling. In order to overcome those drawbacks, we employ...
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