Data Mining and Machine Learning Applications. Группа авторов

Чтение книги онлайн.

      59. Calì, D., Andersen, R.K., Müller, D., Olesen, B.W., Analysis of occupants’ behavior related to the use of windows in German households. Energy Build., 103, 54–69, 2016.

      60. Andersen, R.V., Olesen, B.W., Toftum, J., Modeling window opening behavior in Danish dwellings. Proceedings of Indoor Air, 2011.

      61. Sahu, A.K., Sharma, S., Tanveer, M., Internet of Things attack detection using hybrid. Deep Learning Model. Comput. Commun., 176, 146–154, 2021, https://doi.org/10.1016/j.comcom.2021.05.024.

      62. Mahmood, M.R., Patra, R.K., Raja, R., Sinha, G.R., A Novel Approach for Weather prediction using forecasting analysis and Data Mining Techniques, in: 7th International Conference on Innovations in Computer Science and Engineering, 27–28 July 2018.

      63. Shi, S. and Zhao, B., Occupants’ interactions with windows in 8 residential apartments in Beijing and Nanjing, China. Build. Simul.-China. Tsinghua University Press, 9, 2, pp. 221–231, 2016.

      64. D’Oca, and Hong, T., A data-mining approach to discover patterns of the window opening and closing behavior in offices. Build. Environ., 82, 726–739, 2014.

      65. Dodge, Y., Statistical data analysis is based on the L1-norm and related methods, Birkhäuser, Berlin, 2012.

      66. Moore, K-means and Hierarchical Clustering—Tutorial Slides, School of Computer Science. Carnegie Mellon University, 2007.