Research on the organization of public space relations in commercial complex buildings in the context of big data

[1] Group P P. (2021). One stop shopping-machine and process technology from a single source. PET Planet, 2021(9), 22. Search in Google Scholar

[2] Han, M., Mihaescu, O., Li, Y., et al. (2017). Comparison and one-stop shopping after big-box retail entry: A spatial difference-in-difference analysis. Search in Google Scholar

[3] Hao, H., Corbin, C. D., Kalsi, K., et al. (2017). Transactive Control of Commercial Buildings for Demand Response. IEEE Transactions on Power Systems, 1-1. Search in Google Scholar

[4] Khan, W., Liao, J. Y., Walker, S., et al. (2022). Impact assessment of varied data granularities from commercial buildings on exploration and learning mechanism. Applied Energy, 319. Search in Google Scholar

[5] Mombeini, H., Fathollahi, M., Asadollahi, M., et al. (2017). An Innovative Model for the Success of Commercial Complexes: The Case of Parsis Commercial Complex. ISLAMIC AZAD UNIVERSITY OF FIROOZKOOH BRANCH, 2017(1). Search in Google Scholar

[6] Xiangyu, Z. (2020). Construction of Vitality of Public Space in New Urban Area: A Case Study of Honggutan New District of Nanchang City. Asian Agricultural Research, v.12(03), 34-37. Search in Google Scholar

[7] Aggregation of Users in a Residential/Commercial Building Managed by a Building Energy Management System (BEMS). IEEE Transactions on Industry Applications, 2019. Search in Google Scholar

[8] Wang, W., Chen, J., Huang, G., et al. (2017). Energy efficient HVAC control for an IPS-enabled large space in commercial buildings through dynamic spatial occupancy distribution. Applied Energy, 207(dec.1), 305-323. Search in Google Scholar

[9] Fu, H., Baltazar, J. C., Claridge, D. E. (2021). Review of developments in whole-building statistical energy consumption models for commercial buildings. Renewable and Sustainable Energy Reviews, 147. Search in Google Scholar

[10] Zhu, Y., Long, W., Li, W. (2015). The Service Condition of Commercial Complex Public Space in the Leisure Time. Planners. Search in Google Scholar

[11] Douglas, M. (2020). AVIONICS SYSTEM ARCHITECTURE SELECTION for Commercial Spaceplane Certification and Operations. Journal of the British Interplanetary Society: JBIS, 2020(9), 73. Search in Google Scholar

[12] He, H., Kan, Z. (2016). THE STUDY ON DESIGN OF COMMERCIAL COMPLEXES ALONG THE RAIL BASED ON THE SYMBIOSIS CONCEPT. Industrial Construction. Search in Google Scholar

[13] Li, Z. (2019). A Review of the Evolution of Commercial Complexes from the Perspective of Hybridization and Symbiosis——Based on the Analysis of Some Typical Cases. Urbanism and Architecture. Search in Google Scholar

[14] Ladino, J. (2005). A Model of Urban Competitiveness for Commercial Complexes: Tokyo Roppongi as an Example. Time + Architecture. Search in Google Scholar

[15] Min, W., Zhang, J. (2014). Discuss on the External Space Reshaping of Old City Based on the Neighborhood Renaissance: A Case of Hualou Street Area’s Reformation in Jianghan District, Wuhan City. Huazhong Architecture. Search in Google Scholar

[16] Maximillian, A., Rogers, E., et al. (2018). Cardiovascular calcification: artificial intelligence and big data accelerate mechanistic discovery. Nature Reviews Cardiology. Search in Google Scholar

[17] Elie, G., Luke, G., Sharon, D. B., et al. (2022). 0328 Social Jetlag Decreases Across the Lifespan: A Longitudinal Big Data Analysis of Objective Sleep. SLEEP, 2022(Supplement 1). Search in Google Scholar

[18] Keeney, T., Kumar, A., Etter, K. S., et al. (2022). Making the Case for Patient-Reported Outcome Measures in Big-Data Rehabilitation Research: Implications for Optimizing Patient-Centered Care. Archives of Physical Medicine and Rehabilitation, 2022(5 Suppl. 1), 103. Search in Google Scholar

[19] Wang, C. B., Xiaogang, M. A., Chen, J. G. (2018). The application of data pre-processing technology in the geoscience big data. Acta Petrologica Sinica. Search in Google Scholar

[20] Att, A., Dan, S. A., Tw, B. (2021). Impact of data pre-processing techniques on recurrent neural network performance in context of real-time drilling logs in an automated prediction framework. Journal of Petroleum Science and Engineering. Search in Google Scholar

[21] Wei, B. O., Kai, L. I., Luo, C., et al. (2021). No Need of Data Pre-processing: A General Framework for Radio-based Device-free Context Awareness. ACM Transactions on Internet of Things, 2021(4), 2. Search in Google Scholar

[22] Olscher, R. (2018). Parliament Cleans Up Affiliation Rules for Notifiable Transactions. Search in Google Scholar

[23] Kuroki, Y. (2015). Risk factors for suicidal behaviors among Filipino Americans: A data mining approach. American Journal of Orthopsychiatry. Search in Google Scholar

[24] Zhiyong, F., Xi, et al. (2017). Proactive Radio Resource Optimization with Margin Prediction: A Data Mining Approach. IEEE Transactions on Vehicular Technology, 66(10), 9050-9060. Search in Google Scholar

[25] Katherine Y. W., Martin K., Inna D., et al. (2022). Sequential Data-Mining for Adverse Events after Recombinant Herpes Zoster Vaccination Using the Tree-Based Scan Statistic. American Journal of Epidemiology. Search in Google Scholar

[26] Ye, Y., Li, T., Adjeroh, D., et al. (2017). A Survey on Malware Detection Using Data Mining Techniques. ACM Computing Surveys, 50(3), 1-40. Search in Google Scholar

[27] Li, H. (2021). Time works well: Dynamic time warping based on time weighting for time series data mining. Information Sciences, 547, 592-608. Search in Google Scholar

[28] Wu, S. (2019). Nonlinear information data mining based on time series for fractional differential operators. Chaos, 29(1). Search in Google Scholar

[29] Miller, M. J., Dinucci, A. J., Rabia, J., et al. (2022). Time-series analysis of recent antihyperglycemic medication prescribing trends for a diverse sample of Medicare enrollees with type 2 diabetes mellitus in an integrated health system. American Journal of Health-System Pharmacy, 2022(12), 12. Search in Google Scholar

[30] Wagner, L. E., Haas, M. E., Fox, F. A. (2022). WebStart WEPS: WEPS with Remote Data Access and Cloud-Computing Functionality. Journal of the ASABE, 2022(2), 65. Search in Google Scholar

[31] Xin, L., Hao, W. C., Bo, Z. D., et al. (2021). An efficient fine-grained data access control system with a bounded service number. Search in Google Scholar

[32] Dengra, C. P. (2022). New storage and data access solution for CMS experiment in Spain towards HLLHC era. Search in Google Scholar

[33] Mohamed, N., & Salama, M. M. A. (2022). Data mining-based cyber-physical attack detection tool for attack-resilient adaptive protective relays. Energies, 15. Search in Google Scholar