Author(s)

Zhenjiang Dong ¹, Peng Yang ², Zhicheng Ma ², Yongbiao Chen ¹

Affiliation(s)

¹ Shanghai Jiao Tong University, Shanghai, China
² Gansu State Grid Information & Telecommunication Co., Ltd.629 East Xijin Road, Qilihe, Lanzhou, Gansu Province, China

Corresponding Author

Zhenjiang Dong

ABSTRACT

In the big data era, an information system that is able to flexibly scale out, store mass data and quickly response to concurrent requests is particularly important. Despite the mature mining technologies on structured data, the utilization of unstructured data is still inadequate which results in the waste of data sources. Under this circumstance, this paper adopts machine-learning technologies to build a salable information system by analyzing Geographical landform data.

KEYWORDS

Machine Learning; NoSQL Database; Neural Network; Recommender System; Collaborative Filtering

CITE THIS PAPER

Zhenjiang, D. , Peng, Y. , Zhicheng, M. and Yongbiao C. (2016) Research and Application of Machine Learning on Geographic Information System. Journal of Artificial Intelligence Practice (2016) 1: 30-35.

REFERENCES

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[3] Chang F, Dean J, Ghemawat S, et al. Bigtable: A distributed storage system for structured data[C]. ACM Transactions on Computer Systems (TOCS), 2008, 26(2): 4.
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