Chunlei, L. (2023). Study on typical process route mining method based on multilevel longest common subsequence information entropy and intelligent clustering model. International journal of computer integrated manufacturing, 36(10), 1416-1430. https://doi.org/10.1080/0951192X.2023.2177745
Chicago Style (17th ed.) CitationChunlei, Li. "Study on Typical Process Route Mining Method Based on Multilevel Longest Common Subsequence Information Entropy and Intelligent Clustering Model." International Journal of Computer Integrated Manufacturing 36, no. 10 (2023): 1416-1430. https://doi.org/10.1080/0951192X.2023.2177745.
MLA (9th ed.) CitationChunlei, Li. "Study on Typical Process Route Mining Method Based on Multilevel Longest Common Subsequence Information Entropy and Intelligent Clustering Model." International Journal of Computer Integrated Manufacturing, vol. 36, no. 10, 2023, pp. 1416-1430, https://doi.org/10.1080/0951192X.2023.2177745.