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Urban Computing with Mobility Data: A Unified Approach
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| 자료유형 | 학위논문 |
|---|---|
| 서명/저자사항 | Urban Computing with Mobility Data: A Unified Approach. |
| 개인저자 | Wang, Hongjian. |
| 단체저자명 | The Pennsylvania State University. Information Sciences and Technology. |
| 발행사항 | [S.l.]: The Pennsylvania State University., 2018. |
| 발행사항 | Ann Arbor: ProQuest Dissertations & Theses, 2018. |
| 형태사항 | 142 p. |
| 기본자료 저록 | Dissertation Abstracts International 79-12B(E). Dissertation Abstract International |
| ISBN | 9780438136052 |
| 학위논문주기 | Thesis (Ph.D.)--The Pennsylvania State University, 2018. |
| 일반주기 |
Source: Dissertation Abstracts International, Volume: 79-12(E), Section: B.
|
| 요약 | With the advent of the information age, various types of data are collected in the context of urban spaces, including taxi pickups/drop-offs, tweets from users, air quality measure, noise complaints, Point-Of-Interest (POI), and many more. It is |
| 요약 | This dissertation aims at modeling the complicated interactions of regions in the urban space. Traditionally, due to lack of flow data, interaction is defined only by spatial distance. Recently, the availability of movement data enables us to st |
| 요약 | In this dissertation, I propose to develop a unified framework to model the mobility-flow-incurred interactions in the urban context. We start with a preliminary study on improving Chicago community-level crime prediction with POI and taxi flow. |
| 일반주제명 | Computer science. |
| 언어 | 영어 |
| 바로가기 | 
: 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
