This work is licensed under the Creative Commons Attribution 4.0 International License.
Ren, W., Xue, B., Yang, J., et al. (2020). Effects of the Northeast China revitalization strategy on regional economic growth and social development. Chinese Geographical Science, 30(5), 791-809.Search in Google Scholar
Guo, Y., Tong, L., & Mei, L. (2020). The effect of industrial agglomeration on green development efficiency in Northeast China since the revitalization. Journal of Cleaner Production, 258, 120584.Search in Google Scholar
Chen, W., Lei, Y., Wu, S., et al. (2019). Opportunities for low-carbon socioeconomic transition during the revitalization of Northeast China: Insights from Heilongjiang province. Science of the Total Environment, 683, 380-388.Search in Google Scholar
Chengjin, W., Xumao, L. I., Yongshun, X. I. E., et al. (2020). Strategic path of Revitalization development of Northeast China under new era. Bulletin of Chinese Academy of Sciences (Chinese Version), 35(7), 884-894.Search in Google Scholar
Chen, Y., & Zhang, D. (2021). Evaluation and driving factors of city sustainability in Northeast China: An analysis based on interaction among multiple indicators. Sustainable Cities and Society, 67, 102721.Search in Google Scholar
Pang, J., Mu, H., & Zhang, M. (2020). Interaction between shadow economy and pollution: empirical analysis based on panel data of northeast China. Environmental Science and Pollution Research, 27(17), 21353-21363.Search in Google Scholar
Yue, J. P., Li, Y. Q., Zhang, Y. X., et al. (2020). Lithic raw material economy at the Huayang site in Northeast China: localization and diversification as adaptive strategies in the Late Glacial. Archaeological and Anthropological Sciences, 12(6), 1-13.Search in Google Scholar
Liu, Q. (2022). THE MODERNIZATION TRANSFORMATION OF THE CULTURE IN THE OLD INDUSTRIAL BASE OF NORTHEAST CHINA. IETI Transactions on Social Sciences and Humanities, 19, 29-38.Search in Google Scholar
Ying-min, L. U., & Jia-li, L. I. U. (2019). Structural Contradictions on Supply Side and Government Governance Reform of Old Industrial Base in Northeast China. Commercial Research, 61(6), 26.Search in Google Scholar
Jia, Z., & Gu, G. (2021). Is Local Government Intervention Effective in Promoting the Tfp of an Old Industrial Area? —a Spatial Econometric Analysis of Northeast China. The Singapore Economic Review, 66(03), 933-951.Search in Google Scholar
Li, L., Zhang, P., & Li, X. (2019). Regional economic resilience of the old industrial bases in China—A case study of Liaoning Province. Sustainability, 11(3), 723.Search in Google Scholar
Zhang, J. (2021). Construction and development of ice snow tourism cultural industry based on regional characteristics.Search in Google Scholar
Li, H., & Zhai, N. (2020). The Chuanyue (Traversing) of Western Cultural Industry Theories in China. CLCWeb: Comparative Literature and Culture, 22(5), 10.Search in Google Scholar
Liang, J., & Li, M. (2020). Agglomeration and development of cultural industry: a comparative study of Inland and Coastal Zones in China. Journal of Coastal Research, 112(SI), 152-157.Search in Google Scholar
García, S., Ramírez-Gallego, S., Luengo, J., et al. (2016). Big data preprocessing: methods and prospects. Big Data Analytics, 1(1), 1-22.Search in Google Scholar
Joshi, M. A. P. (2020). Data preprocessing techniques for preparing clean and quality data for data analytics process. Oriental Journal of Computer Science and Technology: An International Open Access Peer-Reviewed Research Journal, 13(2)..Search in Google Scholar
Ramírez-Gallego, S., Krawczyk, B., García, S., et al. (2017). A survey on data preprocessing for data stream mining: Current status and future directions. Neurocomputing, 239, 39-57.Search in Google Scholar
Regin, R., Rajest, S. S., & Singh, B. (2021). Spatial data mining methods databases and statistics point of views. Innovations in Information and Communication Technology Series, 103-109.Search in Google Scholar
Bhaya, W. S. (2017). Review of data preprocessing techniques in data mining. Journal of Engineering and Applied Sciences, 12(16), 4102-4107.Search in Google Scholar
Dogan, A., & Birant, D. (2021). Machine learning and data mining in manufacturing. Expert Systems with Applications, 166, 114060.Search in Google Scholar