An Automatic Cloud Service Platform for Learning from Large-Scale Data

Li Xiong; Heng Qing Tong

doi:10.4028/www.scientific.net/AMR.734-737.3085

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A Procedure to Evaluate the Indoor Global Quality by a Sub Objective-Objective Procedure
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A Target Selection Algorithm of Seeker Based on the Prior Information and SVM
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Algorithm for Imaging Sonar Target Detection based on Geometry Characteristic and SVM
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An Anhydrous Bridge Recognition Algorithm in Aerial Image
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An Automatic Cloud Service Platform for Learning from Large-Scale Data
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Application of the Technology of Multi-Source Information Fusion in Industrial Monitoring and Fault Diagnosis
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Application Research of Improved Ant Colony Algorithm in Hybrid Mobile Agent Routing
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Approximating Nash Equilibrium Using Genetic Algorithm
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Boundary Variable Precision Dominance-Based Rough Set Approach in Multicriteria Sorting Problems
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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 734-737An Automatic Cloud Service Platform for Learning...

An Automatic Cloud Service Platform for Learning from Large-Scale Data

Abstract:

In this paper we propose an automatic cloud service platform for learning from large-scale data. Firstly, we design an event-driven mechanism for controlling data service delivery automatically and intelligently in order to guarantee end-to-end service quality and efficiency. Then a data management platform is provided to collect, process and storage batch data and real-time data. Furthermore, we suggest a method of enhancing algorithm for learning from large-scale data, analyze learning process, and elaborate that algorithm performance can be enhanced constantly along with growth of data set.

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Periodical:

Advanced Materials Research (Volumes 734-737)

Pages:

3085-3088

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.734-737.3085

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Online since:

August 2013

Authors:

Li Xiong, Heng Qing Tong

Keywords:

Algorithm Enhancement, Cloud Service, Context Data, Domain Data, Event-Driven

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References

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