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

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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(xué)科排名




書目名稱Big Social Data and Urban Computing網(wǎng)絡(luò)公開度




書目名稱Big Social Data and Urban Computing網(wǎng)絡(luò)公開度學(xué)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(xué)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(xué)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(xué)科排名

critic

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.

chandel

亂砍

營養(yǎng)

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.

alleviate

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..

GNAT

不透明

干涉

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.

Flinch

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.