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Published in 2017 at "Cluster Computing"
DOI: 10.1007/s10586-017-0749-z
Abstract: In the last decade, we have witnessed the dramatic development of the smart home industry. Smart home systems are currently facing an explosive growth of data. Making good use of this vast amount of data…
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Keywords:
user behavior;
behavior prediction;
smart home;
model ... See more keywords
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Published in 2017 at "Journal of Intelligent Information Systems"
DOI: 10.1007/s10844-017-0456-5
Abstract: In-depth analysis of user interactions with applications in large systems is widely adopted as a means to understand user’s behavior for strategic purposes such as fraud detection, system security, weblog analysis, social networking, and customer…
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Keywords:
user behavior;
behavior patterns;
complex behavior;
event ... See more keywords
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Published in 2020 at "Neurocomputing"
DOI: 10.1016/j.neucom.2019.09.111
Abstract: Abstract In modern informatics society, human beings are becoming more and more attached to the computer. Therefore, understanding user behavior is critical to various application fields like sedentary analysis, human-computer interaction, and affective computing. Current…
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Keywords:
wifi channel;
user behavior;
behavior understanding;
state information ... See more keywords
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Published in 2021 at "Physica A: Statistical Mechanics and its Applications"
DOI: 10.1016/j.physa.2021.126378
Abstract: Abstract The rapid development of Internet provides many high quality data sets for understanding human online behavior patterns. Many analysis tools from complexity science such as complex networks and human dynamics have been applied to…
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Keywords:
recommendation;
user behavior;
recommendation connecting;
connecting user ... See more keywords
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Published in 2019 at "Sustainable Cities and Society"
DOI: 10.1016/j.scs.2019.101724
Abstract: Abstract Currently, heat consumption patterns in the Yangtze River Region was a hot topic for discussion in China. Air conditioning (AC) with heating and cooling functions was the major method for residential heating in this…
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Keywords:
region;
user behavior;
river region;
yangtze river ... See more keywords
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Published in 2018 at "Transport Policy"
DOI: 10.1016/j.tranpol.2017.10.003
Abstract: Abstract Transit-dependent users, far from being captives, may have other transportation alternatives. In some developing countries, depending on the characteristics of the city, instead of cycling or walking, captive users opt for informal services to…
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Keywords:
user behavior;
understanding captive;
motorcycle taxis;
captive user ... See more keywords
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Published in 2018 at "Transportation Research Part F: Traffic Psychology and Behaviour"
DOI: 10.1016/j.trf.2018.06.005
Abstract: Abstract In this study, users’ acceptance of an on-bike system that warns about potential collisions with motorized vehicles as well as its influence on cyclists’ behavior was evaluated. Twenty-five participants took part in a field…
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Keywords:
bike system;
user behavior;
system;
acceptance bike ... See more keywords
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Published in 2017 at "Journal of Intelligent Transportation Systems"
DOI: 10.1080/15472450.2016.1265890
Abstract: ABSTRACT With the increasing use of Intelligent Transport Systems, large amounts of data are created. Innovative information services are introduced and new forms of data are available, which could be used to understand the behavior…
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Keywords:
arrivals user;
user behavior;
livebus;
classification livebus ... See more keywords
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Published in 2023 at "Big data"
DOI: 10.1089/big.2022.0260
Abstract: Recommender system (RS) plays an important role in Big Data research. Its main idea is to handle huge amounts of data to accurately recommend items to users. The recommendation method is the core research content…
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Keywords:
recommendation method;
recommendation;
user behavior;
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Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3235952
Abstract: The increasing adoption of electric vehicles poses new problems for the electrical distribution network. For this reason, proper electric vehicle forecasting will be of fundamental importance for a predictive energy management system, which could greatly…
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Keywords:
clustering based;
behavior clustering;
user behavior;
based method ... See more keywords
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Published in 2019 at "IEEE Communications Letters"
DOI: 10.1109/lcomm.2019.2914038
Abstract: The concept of Quality of Experience (QoE) of Internet services is widely recognized by service providers and network operators. They strive to deliver the best experience to their customers in order to increase revenues and…
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Keywords:
cycle;
experience;
user behavior;
traffic management ... See more keywords