Research and application of regional population attributes analysis based on mobile network signaling.
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| Title: | Research and application of regional population attributes analysis based on mobile network signaling. (English) |
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| Authors: | SHEN Ze, LUO Jiang-tao, ZHOU Yun-feng, LIN Ju-ting, SHU Zhong-ling |
| Source: | Application Research of Computers / Jisuanji Yingyong Yanjiu; Mar2014, Vol. 31 Issue 3, p756-759, 4p |
| Subject Terms: | POPULATION, APPLICATION software, TOURISM management, INDUSTRIAL management, MOBILE communication systems, SIGNALS & signaling, COMPUTER networks |
| Abstract: | Population attributes analysis had great significance to some areas such as tourism management and business analysis. Compared to the conventional method and combined with the user's needs, this paper investigated several late-model statistical approaches and researched a regional population attributes analysis method based on mobile network signaling. Firstly, it collected the massive users' mobile network signaling data, then mined and analyzed them to get some intermediate data like users' resident time. Finally, combined the data with decision rules to get population attribute types. Analysis platform summarized results showed to users by Web program. Users' practical application verifies the feasibility of this method. [ABSTRACT FROM AUTHOR] |
| Copyright of Application Research of Computers / Jisuanji Yingyong Yanjiu is the property of Application Research of Computers Edition and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Complementary Index |
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