Monitoring Social and Economic Characteristics from Call detail records

• Item type: SIG Technical Reports(1)
• 公開日: 2017-03-03
• タイトル: Monitoring Social and Economic Characteristics from Call detail records
• タイトル / 言語: en
• タイトル: Monitoring Social and Economic Characteristics from Call detail records
• 言語: eng
• キーワード / 主題Scheme: Other
• キーワード / 主題: 情報分析
• 資源タイプ / 資源タイプ識別子: http://purl.org/coar/resource_type/c_18gh
• 資源タイプ: technical report
• 著者所属: Toyo University
• 著者所属(英): en
• 著者所属(英): Toyo University
• 著者名: Happy, Buzaaba
• 著者名(英): Happy, Buzaaba
• 論文抄録 / 内容記述タイプ: Other
• 論文抄録 / 内容記述: The growing use of mobile phones and other digital devices all over the world has led to an explosion in the amounts and variety of data available. This has led to a phenomenon known as “big data” an umbrella term for the explosion in the quantity and diversity of high frequency digital data. These data hold the potential as yet largely untapped to allow decision makers to track development progress, improve social protection, and understand where existing policies and programs require adjustment. In this paper we examine call detail records and their potential to predict social and economic characteristics so as to complement official statistics, survey data, and information generated by Early Warning Systems, adding depth and nuances on human behaviors and experiences and doing so in real time, thereby narrowing both information and time gaps (Global Pulse, May 2012).
• 論文抄録(英) / 内容記述タイプ: Other
• 論文抄録(英) / 内容記述: The growing use of mobile phones and other digital devices all over the world has led to an explosion in the amounts and variety of data available. This has led to a phenomenon known as “big data” an umbrella term for the explosion in the quantity and diversity of high frequency digital data. These data hold the potential as yet largely untapped to allow decision makers to track development progress, improve social protection, and understand where existing policies and programs require adjustment. In this paper we examine call detail records and their potential to predict social and economic characteristics so as to complement official statistics, survey data, and information generated by Early Warning Systems, adding depth and nuances on human behaviors and experiences and doing so in real time, thereby narrowing both information and time gaps (Global Pulse, May 2012).
• 書誌レコードID / 収録物識別子タイプ: NCID
• 書誌レコードID / 収録物識別子: AN10114171
• 書誌情報: 研究報告情報基礎とアクセス技術（IFAT）; 巻 2017-IFAT-125, 号 7, p. 1-7, 発行日 2017-03-03
• ISSN / 収録物識別子タイプ: ISSN
• ISSN / 収録物識別子: 2188-8884
• Notice: SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc.
• 出版者 / 言語: ja
• 出版者: 情報処理学会