A related degree-based frequent pattern mining algorithm for railway fault dataOA
A related degree-based frequent pattern mining algorithm for railway fault data
Jiaxu Guo;Ding Ding;Peihan Yang;Qi Zou;Yaping Huang
School of Computer Science and Technology,Beijing Jiaotong University,Beijing 100044,ChinaSchool of Computer Science and Technology,Beijing Jiaotong University,Beijing 100044,China||Key Laboratory of Big Data & Artificial Intelligence in Transportation,Ministry of Education,Beijing 100044,ChinaSchool of Computer Science and Technology,Beijing Jiaotong University,Beijing 100044,ChinaSchool of Computer Science and Technology,Beijing Jiaotong University,Beijing 100044,ChinaSchool of Computer Science and Technology,Beijing Jiaotong University,Beijing 100044,China
High utilityQuantitativeFrequent pattern miningRelated degree pruningFixed pattern length
High utilityQuantitativeFrequent pattern miningRelated degree pruningFixed pattern length
《高速铁路（英文）》 2024 (2)
101-109,9
This work was supported by the Research on Key Technologies and Typical Applications of Big Data in Railway Production and Operation(P2023S006)and the Fundamental Research Funds for the Central Universities(2022JBZY023).
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