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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书目名称Big Social Data and Urban Computing影响因子(影响力)




书目名称Big Social Data and Urban Computing影响因子(影响力)学科排名




书目名称Big Social Data and Urban Computing网络公开度




书目名称Big Social Data and Urban Computing网络公开度学科排名




书目名称Big Social Data and Urban Computing被引频次




书目名称Big Social Data and Urban Computing被引频次学科排名




书目名称Big Social Data and Urban Computing年度引用




书目名称Big Social Data and Urban Computing年度引用学科排名




书目名称Big Social Data and Urban Computing读者反馈




书目名称Big Social Data and Urban Computing读者反馈学科排名

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

乱砍

营养

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.