دانلود مقاله انگلیسی رایگان:ساخت شاخصهای فقر فضایی و زمانی از داده های بزرگ - 2017

• Constructing spatiotemporal poverty indices from big data
  

  سال انتشار:

  2017

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  عنوان انگلیسی مقاله:

  Constructing spatiotemporal poverty indices from big data

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  ترجمه فارسی عنوان مقاله:

  ساخت شاخصهای فقر فضایی و زمانی از داده های بزرگ

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  منبع:

  Sciencedirect - Elsevier - Journal of Business Research 70 (2017) 318–327

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  نویسنده:

  Christopher Njuguna a,⁎, Patrick McSharry a,

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  چکیده انگلیسی:

  Big data offers the potential to calculate timely estimates of the socioeconomic development of a region. Mobile telephone activity provides an enormous wealth of information that can be utilized alongside household surveys. Estimates of poverty and wealth rely on the calculation of features from call detail records (CDRs), however, mobile network operators are reluctant to provide access to CDRs due to commercial and privacy concerns. As a compromise, this study shows that a sparse CDR dataset combined with other publicly available datasets based on satellite imagery can yield competitive results. In particular, a model is built using two CDR-based features, mobile ownership per capita and call volume per phone, combined with normalized satellite nightlight data and population density, to estimate the multi-dimensional poverty index (MPI) at the sector level in Rwanda. This model accurately estimates the MPI for sectors in Rwanda that contain mobile phone cell towers (cross-validated correlation of 0.88)
  Keywords:Call detail record (CDR)|Poverty index|Machine learning|Big data|Socioeconomic level|Rwanda

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  سطح: متوسط

  تعداد صفحات فایل pdf انگلیسی: 10

  حجم فایل: 1276 کیلوبایت

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  قیمت: رایگان

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  توضیحات اضافی:

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  سفارش ترجمه مقاله

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  کلمات کلیدی:
  Call detail record (CDR) , Poverty index , Machine learning , Big data , Socioeconomic level , Rwanda , ثبت جزئیات تماس (CDR) , شاخص فقر , یادگیری ماشین , داده های بزرگ , سطح اجتماعی اقتصادی , رواندا

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  بازدید:[2] بازدید کننده:[2] نظرات : [0]

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