A Survey of Resource Sharing Cloud Using Data Mining

Pratiba, D.; Shobha, G

doi:10.1109/icsip.2014.57

Cited by 3 publications

(1 citation statement)

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“…In order to get over this disadvantage, a great portion of research approaches is needed to deal with such problems. Considering the fast growth of IoT, the biggest challenge is to examine the huge volumes of data and draw out valuable knowledge or information for future measures [109]. Data investments are still rising but are also exhibiting some indications of decline.…”

Section: Concluding Remarks and Future Workmentioning

confidence: 99%

Indoor navigation systems based on data mining techniques in internet of things: a survey

et al. 2018

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Internet of Things (IoT) is turning into an essential part of daily life, and numerous IoT-based scenarios will be seen in future of modern cities ranging from small indoor situations to huge outdoor environments. In this era, navigation continues to be a crucial element in both outdoor and indoor environments, and many solutions have been provided in both cases. On the other side, recent smart objects have produced a substantial amount of various data which demands sophisticated data mining solutions to cope with them. This paper presents a detailed review of previous studies on using data mining techniques in indoor navigation systems for the loT scenarios. We aim to understand what type of navigation problems exist in different IoT scenarios with a focus on indoor environments and later on we investigate how data mining solutions can provide solutions on those challenges.

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Section: Concluding Remarks and Future Workmentioning

confidence: 99%