Name
Abstract | ||
|---|---|---|
Future buildings will offer new convenience, comfort, and efficiency possibilities to their residents. Changes will occur to the way people live as technology involves into peopleu0027s lives and information processing is fully integrated into their daily living activities and objects. The future expectation of smart buildings includes making the residentsu0027 experience as easy and comfortable as possible. The massive streaming data generated and captured by smart building appliances and devices contains valuable information that needs to be mined to facilitate timely actions and better decision making. Machine learning and big data analytics will undoubtedly play a critical role to enable the delivery of such smart services. In this paper, we survey the area of smart building with a special focus on the role of techniques from machine learning and big data analytics. This survey also reviews the current trends and challenges faced in the development of smart building services. |
Year | Venue | DocType |
|---|---|---|
2019 | arXiv: Computers and Society | Journal |
Volume | Citations | PageRank |
abs/1904.01460 | 0 | 0.34 |
References | Authors | |
0 | 7 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Basheer Qolomany | 1 | 0 | 0.34 |
| Ala I. Al-Fuqaha | 2 | 475 | 47.35 |
| Ajay Gupta | 3 | 153 | 14.48 |
| Driss Benhaddou | 4 | 55 | 13.00 |
| Safaa Alwajidi | 5 | 0 | 0.34 |
| Junaid Qadir | 6 | 259 | 34.78 |
| Alvis C. Fong | 7 | 0 | 0.34 |