Results 91 to 100 of about 338,799 (197)
Data Mining is an activity that extracts some new useful information contained in large databases. Traditional data mining methodologies focused largely on detecting the statistical correlations between the items that are more frequent in the transaction databases. Association Rule Mining focuses on existence of an item in a transaction, whether or not
Ganesan, M, Shankar, S
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A related degree-based frequent pattern mining algorithm for railway fault data
It is of great significance to improve the efficiency of railway production and operation by realizing the fault knowledge association through the efficient data mining algorithm.
Jiaxu Guo +4 more
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Top-k high utility pattern mining, which extracts the highest top-k patterns that the users want to find, has been actively studied. Most previous studies in this domain have focused on static databases, where data insertions do not occur.
Chanhee Lee +7 more
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Mine Water Resource Utilization
Wei Bo Sun +5 more
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With the rapid development of AI and big data mining technologies, computerized medical decision-making has become increasingly prominent. The aim of high-utility pattern mining (HUPM) is to discover meaningful patterns in medical databases that ...
Jing Chen +6 more
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IPHM: Incremental periodic high-utility mining algorithm in dynamic and evolving data environments. [PDF]
Huang H, Chen S, Chen J.
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A high utility itemsets mining algorithm based on co-evolution. [PDF]
Yang W, Han M, Dai Z, Li J, Ding J.
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Dual-probe genome mining identifies citrulassin N, a novel citrulline modified lasso peptide from <i>Streptomyces</i> sp. NAX00255. [PDF]
Wang ZR, Zeng C, Yan ZY, Xu ZF, Feng D.
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Integrating GPT-4o Into Data Mining in Neurosurgery: Feasibility and Proof-of-Concept Study. [PDF]
Almeida Sales AH, Beck J, Grauvogel J.
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Data-driven de novo design: revolutionizing super-adhesive hydrogels for underwater applications. [PDF]
Cen Y, Liu XM, Song ZQ, Fang HJ, Wang X.
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