accuracy

Lin, Wenguang, Wang, Ting, Chen, Zhizhen ORCID: 0000-0001-6656-5854 and Xiao, Renbin (2024) Data-driven identification of industrial clusters: a patent analysis approach. IEEE Transactions on Engineering Management. ISSN 0018-9391 (Print), 1558-0040 (Online) (doi:https://doi.org/10.1109/TEM.2024.3493627)

adaptation models

Lin, Wenguang, Wang, Ting, Chen, Zhizhen ORCID: 0000-0001-6656-5854 and Xiao, Renbin (2024) Data-driven identification of industrial clusters: a patent analysis approach. IEEE Transactions on Engineering Management. ISSN 0018-9391 (Print), 1558-0040 (Online) (doi:https://doi.org/10.1109/TEM.2024.3493627)

affiliative humor

Lu, Su, Jiang, Feng ORCID: 0000-0001-9762-5821 , Lan, Junmei and Wang, Ting (2023) The funnier, the happier? The interplay between interpersonal humor styles on mental health via gratitude. Current Psychology. ISSN 1046-1310 (Print), 1936-4733 (Online) (doi:https://doi.org/10.1007/s12144-023-04665-3)

aggressive humor

Lu, Su, Jiang, Feng ORCID: 0000-0001-9762-5821 , Lan, Junmei and Wang, Ting (2023) The funnier, the happier? The interplay between interpersonal humor styles on mental health via gratitude. Current Psychology. ISSN 1046-1310 (Print), 1936-4733 (Online) (doi:https://doi.org/10.1007/s12144-023-04665-3)

bipartite network

Zeng, Siping, Wang, Ting, Lin, Wenguang, Chen, Zhizhen (Ryan) ORCID: 0000-0001-6656-5854 and Xiao, Renbin (2024) A patent mining approach to accurately identifying Innovative Industrial Clusters based on the multivariate DBSCAN algorithm. Systems, 12:321. pp. 1-28. ISSN 2079-8954 (Online) (doi:https://doi.org/10.3390/systems12090321)

clustering algorithms

Lin, Wenguang, Wang, Ting, Chen, Zhizhen ORCID: 0000-0001-6656-5854 and Xiao, Renbin (2024) Data-driven identification of industrial clusters: a patent analysis approach. IEEE Transactions on Engineering Management. ISSN 0018-9391 (Print), 1558-0040 (Online) (doi:https://doi.org/10.1109/TEM.2024.3493627)

density‑based spatial clustering

Zeng, Siping, Wang, Ting, Lin, Wenguang, Chen, Zhizhen (Ryan) ORCID: 0000-0001-6656-5854 and Xiao, Renbin (2024) A patent mining approach to accurately identifying Innovative Industrial Clusters based on the multivariate DBSCAN algorithm. Systems, 12:321. pp. 1-28. ISSN 2079-8954 (Online) (doi:https://doi.org/10.3390/systems12090321)

depression

Lu, Su, Jiang, Feng ORCID: 0000-0001-9762-5821 , Lan, Junmei and Wang, Ting (2023) The funnier, the happier? The interplay between interpersonal humor styles on mental health via gratitude. Current Psychology. ISSN 1046-1310 (Print), 1936-4733 (Online) (doi:https://doi.org/10.1007/s12144-023-04665-3)

economics

Lin, Wenguang, Wang, Ting, Chen, Zhizhen ORCID: 0000-0001-6656-5854 and Xiao, Renbin (2024) Data-driven identification of industrial clusters: a patent analysis approach. IEEE Transactions on Engineering Management. ISSN 0018-9391 (Print), 1558-0040 (Online) (doi:https://doi.org/10.1109/TEM.2024.3493627)

engineering management

Lin, Wenguang, Wang, Ting, Chen, Zhizhen ORCID: 0000-0001-6656-5854 and Xiao, Renbin (2024) Data-driven identification of industrial clusters: a patent analysis approach. IEEE Transactions on Engineering Management. ISSN 0018-9391 (Print), 1558-0040 (Online) (doi:https://doi.org/10.1109/TEM.2024.3493627)

flexible electronics industry

Lin, Wenguang, Wang, Ting, Chen, Zhizhen ORCID: 0000-0001-6656-5854 and Xiao, Renbin (2024) Data-driven identification of industrial clusters: a patent analysis approach. IEEE Transactions on Engineering Management. ISSN 0018-9391 (Print), 1558-0040 (Online) (doi:https://doi.org/10.1109/TEM.2024.3493627)

gratitude

Lu, Su, Jiang, Feng ORCID: 0000-0001-9762-5821 , Lan, Junmei and Wang, Ting (2023) The funnier, the happier? The interplay between interpersonal humor styles on mental health via gratitude. Current Psychology. ISSN 1046-1310 (Print), 1936-4733 (Online) (doi:https://doi.org/10.1007/s12144-023-04665-3)

happiness

Lu, Su, Jiang, Feng ORCID: 0000-0001-9762-5821 , Lan, Junmei and Wang, Ting (2023) The funnier, the happier? The interplay between interpersonal humor styles on mental health via gratitude. Current Psychology. ISSN 1046-1310 (Print), 1936-4733 (Online) (doi:https://doi.org/10.1007/s12144-023-04665-3)

heuristic algorithms

Lin, Wenguang, Wang, Ting, Chen, Zhizhen ORCID: 0000-0001-6656-5854 and Xiao, Renbin (2024) Data-driven identification of industrial clusters: a patent analysis approach. IEEE Transactions on Engineering Management. ISSN 0018-9391 (Print), 1558-0040 (Online) (doi:https://doi.org/10.1109/TEM.2024.3493627)

identification

Lin, Wenguang, Wang, Ting, Chen, Zhizhen ORCID: 0000-0001-6656-5854 and Xiao, Renbin (2024) Data-driven identification of industrial clusters: a patent analysis approach. IEEE Transactions on Engineering Management. ISSN 0018-9391 (Print), 1558-0040 (Online) (doi:https://doi.org/10.1109/TEM.2024.3493627)

industrial clusters

Lin, Wenguang, Wang, Ting, Chen, Zhizhen ORCID: 0000-0001-6656-5854 and Xiao, Renbin (2024) Data-driven identification of industrial clusters: a patent analysis approach. IEEE Transactions on Engineering Management. ISSN 0018-9391 (Print), 1558-0040 (Online) (doi:https://doi.org/10.1109/TEM.2024.3493627)

industries

Lin, Wenguang, Wang, Ting, Chen, Zhizhen ORCID: 0000-0001-6656-5854 and Xiao, Renbin (2024) Data-driven identification of industrial clusters: a patent analysis approach. IEEE Transactions on Engineering Management. ISSN 0018-9391 (Print), 1558-0040 (Online) (doi:https://doi.org/10.1109/TEM.2024.3493627)

innovative industrial clusters

Zeng, Siping, Wang, Ting, Lin, Wenguang, Chen, Zhizhen (Ryan) ORCID: 0000-0001-6656-5854 and Xiao, Renbin (2024) A patent mining approach to accurately identifying Innovative Industrial Clusters based on the multivariate DBSCAN algorithm. Systems, 12:321. pp. 1-28. ISSN 2079-8954 (Online) (doi:https://doi.org/10.3390/systems12090321)

latent Dirichlet allocation

Zeng, Siping, Wang, Ting, Lin, Wenguang, Chen, Zhizhen (Ryan) ORCID: 0000-0001-6656-5854 and Xiao, Renbin (2024) A patent mining approach to accurately identifying Innovative Industrial Clusters based on the multivariate DBSCAN algorithm. Systems, 12:321. pp. 1-28. ISSN 2079-8954 (Online) (doi:https://doi.org/10.3390/systems12090321)

patent analysis

Lin, Wenguang, Wang, Ting, Chen, Zhizhen ORCID: 0000-0001-6656-5854 and Xiao, Renbin (2024) Data-driven identification of industrial clusters: a patent analysis approach. IEEE Transactions on Engineering Management. ISSN 0018-9391 (Print), 1558-0040 (Online) (doi:https://doi.org/10.1109/TEM.2024.3493627)

Zeng, Siping, Wang, Ting, Lin, Wenguang, Chen, Zhizhen (Ryan) ORCID: 0000-0001-6656-5854 and Xiao, Renbin (2024) A patent mining approach to accurately identifying Innovative Industrial Clusters based on the multivariate DBSCAN algorithm. Systems, 12:321. pp. 1-28. ISSN 2079-8954 (Online) (doi:https://doi.org/10.3390/systems12090321)

patents

Lin, Wenguang, Wang, Ting, Chen, Zhizhen ORCID: 0000-0001-6656-5854 and Xiao, Renbin (2024) Data-driven identification of industrial clusters: a patent analysis approach. IEEE Transactions on Engineering Management. ISSN 0018-9391 (Print), 1558-0040 (Online) (doi:https://doi.org/10.1109/TEM.2024.3493627)

production

Lin, Wenguang, Wang, Ting, Chen, Zhizhen ORCID: 0000-0001-6656-5854 and Xiao, Renbin (2024) Data-driven identification of industrial clusters: a patent analysis approach. IEEE Transactions on Engineering Management. ISSN 0018-9391 (Print), 1558-0040 (Online) (doi:https://doi.org/10.1109/TEM.2024.3493627)

spatial distribution

Lin, Wenguang, Wang, Ting, Chen, Zhizhen ORCID: 0000-0001-6656-5854 and Xiao, Renbin (2024) Data-driven identification of industrial clusters: a patent analysis approach. IEEE Transactions on Engineering Management. ISSN 0018-9391 (Print), 1558-0040 (Online) (doi:https://doi.org/10.1109/TEM.2024.3493627)

technological innovation

Lin, Wenguang, Wang, Ting, Chen, Zhizhen ORCID: 0000-0001-6656-5854 and Xiao, Renbin (2024) Data-driven identification of industrial clusters: a patent analysis approach. IEEE Transactions on Engineering Management. ISSN 0018-9391 (Print), 1558-0040 (Online) (doi:https://doi.org/10.1109/TEM.2024.3493627)