Abstract
Data are crucial to support decision making. If data have low veracity, decisions are not likely to be sound. Internet of Things (IoT) generates big data with inaccuracy, inconsistency, incompleteness, deception, and model approximation. Enhancing data veracity is important to address these challenges. In this article, we summarize the key characteristics and challenges of IoT, which influence data processing and decision making. We review the landscape of measuring and enhancing data veracity and mining uncertain data streams. Moreover, we propose five recommendations for future development of veracious big IoT data analytics that are related to the heterogeneous and distributed nature of IoT data, autonomous decision-making, context-aware and domain-optimized methodologies, data cleaning and processing techniques for IoT edge devices, and privacy preserving, personalized, and secure data management.
Original language | English |
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Title of host publication | 2018 IEEE International Conference on Pervasive Computing and Communications Workshops |
Subtitle of host publication | PerCom Workshops 2018 |
Publisher | IEEE Institute of Electrical and Electronic Engineers |
Pages | 149-154 |
ISBN (Electronic) | 978-1-5386-3227-7, 978-1-5386-3226-0 |
ISBN (Print) | 978-1-5386-3227-7 |
DOIs | |
Publication status | Published - 8 Oct 2018 |
MoE publication type | Not Eligible |
Event | IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom 2018 - Athens, Greece Duration: 19 Mar 2018 → 23 Mar 2018 |
Workshop
Workshop | IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom 2018 |
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Abbreviated title | PerCom 2018 |
Country/Territory | Greece |
City | Athens |
Period | 19/03/18 → 23/03/18 |
Funding
This research has been partly funded by the European Research Council under the European Union’s Horizon 2020 research and innovation programme (grant agreement no. 646428). Dr. Xiang Su would like to thank Jorma Ollila Grant of Nokia foundation for funding his research.
Keywords
- big data
- decision making
- data mining
- data models
- internet of things
- data analysis