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標題: Titlebook: Big Social Data and Urban Computing; First Workshop, BiDU Jonice Oliveira,Claudio M. Farias,Giancarlo Fortin Conference proceedings 2019 Sp [打印本頁]

作者: 不能平庸    時間: 2025-3-21 18:46
書目名稱Big Social Data and Urban Computing影響因子(影響力)




書目名稱Big Social Data and Urban Computing影響因子(影響力)學科排名




書目名稱Big Social Data and Urban Computing網絡公開度




書目名稱Big Social Data and Urban Computing網絡公開度學科排名




書目名稱Big Social Data and Urban Computing被引頻次




書目名稱Big Social Data and Urban Computing被引頻次學科排名




書目名稱Big Social Data and Urban Computing年度引用




書目名稱Big Social Data and Urban Computing年度引用學科排名




書目名稱Big Social Data and Urban Computing讀者反饋




書目名稱Big Social Data and Urban Computing讀者反饋學科排名





作者: critic    時間: 2025-3-21 21:41
Introduction to Noncommutative Algebratterns. We here characterize the demands of a two-way car-sharing system. We explore data of the public API of Modo, a car-sharing system that operates in Vancouver (Canada) and nearby regions. Our study uncovers patterns of users’ habits and demands in the service, which can be explored for urban and communication planning.
作者: chandel    時間: 2025-3-22 04:09

作者: 亂砍    時間: 2025-3-22 06:49

作者: 營養(yǎng)    時間: 2025-3-22 11:01
DMEK: Improving Profile Matching in Opportunistic Collaborationsnterests. This paper presents DMEK, (Decision Mobile Exchange of Knowledge) a solution where mobile devices disseminate knowledge among their users, opportunistically, using a decision mechanism based on profile matching. Experiments show DMEK feasibility and performance.
作者: alleviate    時間: 2025-3-22 15:24
Conference proceedings 2019, Brazil, in August 2018.?The 11 full papers presented were carefully reviewed and selected from 40 submissions. The papers are organized in topical sections on urban mobility, urban sensing,?contemporary social problems,?collaboration and crowdsourcing..
作者: GNAT    時間: 2025-3-22 20:35

作者: 不透明    時間: 2025-3-23 01:10

作者: 干涉    時間: 2025-3-23 01:41
SLEDS: A DSL for Data-Centric Storage on Wireless Sensor Networkstion on sensor networks. The current specification of the language generates code for the NS2 simulation environment. The case study shows that the language implements a flexible model, which is general enough to be used on a wide variety of sensor network applications.
作者: Flinch    時間: 2025-3-23 07:20
Extraction and Exploration of Business Categories Signaturestudied city; (2) approach for identifying the signature that represents the behavior of specific categories of venues; (3) training and evaluation of an inference model for categories of establishments; (4) user evaluation of some of our results.
作者: Rankle    時間: 2025-3-23 13:10
Characterizing Usage Patterns and Service Demand of a Two-Way Car-Sharing System communication systems. However, getting data about urban mobility is still a challenge. In many cases, only a few companies have access to accurate and updated data. In most cases, these data are also privacy sensitive. It is thus important to generate models that can help to understand mobility pa
作者: 他很靈活    時間: 2025-3-23 16:21

作者: brachial-plexus    時間: 2025-3-23 20:29

作者: 人充滿活力    時間: 2025-3-24 01:44
M,: A Smart City Framework for Real-Time Analysis of Traffic Data Streamsf adding, extending, or porting the smart city scenario to other cities can be very challenging due to the rigid structure of such existing systems. To address this issue, in this paper we investigate common programming constructors that can be used to leverage the construction of such dynamic, smar
作者: Congregate    時間: 2025-3-24 03:28

作者: anus928    時間: 2025-3-24 08:33

作者: 暫停,間歇    時間: 2025-3-24 13:37
Comparing Emotional Reactions to Terrorism Events on Twitterpply deep learning techniques to classify emotions of terrorism events, and develop a comparative analysis about emotional reactions on four events based on the demographics of tweeters, particularly gender, age and location. Our research questions involve comparing these events in terms of emotiona
作者: Commonwealth    時間: 2025-3-24 17:27

作者: Constituent    時間: 2025-3-24 18:59

作者: 披肩    時間: 2025-3-25 00:15

作者: Figate    時間: 2025-3-25 04:28
DMEK: Improving Profile Matching in Opportunistic Collaborationss. A possible solution to this problem is to use the mobile devices wireless network capabilities to exchange data by creating mobile P2P networks. These networks should opportunistically collaborate to exchange information to other devices in their proximity, only requiring users to specify their i
作者: BRACE    時間: 2025-3-25 10:12

作者: 緩解    時間: 2025-3-25 15:22
https://doi.org/10.1007/978-0-387-85359-8omplex network metrics. The results demonstrated the public transportation system efficiency showing regions of Chicago, Dubai and Taichung well served and regions which are key points to the transportation city interconnecting various areas. Moreover, we could evaluate how improved the transportati
作者: Laconic    時間: 2025-3-25 19:29
Final Comments and Perspectiveshe city entities data streams. We discuss the generality, performance, and limitations of the proposed constructs through a real-world case study that was used in the Olympic Games of Rio in 2016 to detect, in real-time, existing and new situations that could affect the city mobility infrastructure.
作者: Interferons    時間: 2025-3-25 23:57
https://doi.org/10.1007/978-3-030-79569-6 casualties (number of kills/injuries); tweeters expressing fear and sadness tend to share words of affection and support, while tweeters expressing anger tend to use intense words of hate, intolerance and anger.
作者: harangue    時間: 2025-3-26 01:08
https://doi.org/10.1007/978-3-030-79569-6ontologies and published in RDF using Linked Open Data standards in a semantic knowledge graph, allowing information to be identified, disambiguated and interconnected by software agents in future research.
作者: Spangle    時間: 2025-3-26 06:24

作者: 搬運工    時間: 2025-3-26 12:17

作者: spinal-stenosis    時間: 2025-3-26 15:16

作者: 廣告    時間: 2025-3-26 18:25

作者: 固定某物    時間: 2025-3-26 23:42

作者: intolerance    時間: 2025-3-27 01:26

作者: amphibian    時間: 2025-3-27 06:47

作者: 急性    時間: 2025-3-27 12:32

作者: 瑪瑙    時間: 2025-3-27 13:43

作者: 音的強弱    時間: 2025-3-27 18:20
Jonice Oliveira,Claudio M. Farias,Giancarlo Fortin
作者: 分發(fā)    時間: 2025-3-28 00:32
https://doi.org/10.1007/978-3-030-11238-7big social data; heterogeneous data; social media; urban computing; databases
作者: 巡回    時間: 2025-3-28 03:01

作者: irreparable    時間: 2025-3-28 08:11
Communications in Computer and Information Sciencehttp://image.papertrans.cn/b/image/185750.jpg
作者: 招待    時間: 2025-3-28 10:39
Big Social Data and Urban Computing978-3-030-11238-7Series ISSN 1865-0929 Series E-ISSN 1865-0937
作者: LOPE    時間: 2025-3-28 15:20

作者: machination    時間: 2025-3-28 21:58
https://doi.org/10.1007/978-3-319-08693-4gh value for integrative transportation research, policy enforcement, and public accountability. However, these companies are disincentivized from sharing data not only to protect the privacy of individuals (drivers and/or passengers), but also to protect their own competitive advantage. Moreover, d
作者: 休閑    時間: 2025-3-29 02:04
https://doi.org/10.1007/978-0-387-85359-8rious devices spread throughout the city and are available in open data portals, which can be used to improve essential services such as public transport and fed into platforms for visualization and analyses. Human and urban mobility analyses demonstrate that understanding movement patterns can assi
作者: 品牌    時間: 2025-3-29 04:02

作者: 引導    時間: 2025-3-29 10:52
Final Comments and Perspectivestechniques allow developers to build a software system from reusable, existing components sharing a common interface. Moreover, the development of urban sensor networks applications would greatly benefit from the existence of a dedicated programming environment. This paper proposes SLEDS, a Domain-S
作者: Diluge    時間: 2025-3-29 14:42





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