Efficient Hardware Data Mining with the Apriori Algorithm on FPGAs-Reference-Cited by-同舟云学术

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Efficient Hardware Data Mining with the Apriori Algorithm on FPGAs

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Container-title:13th Annual IEEE Symposium on Field-Programmable Custom Computing Machines (FCCM'05)
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Author:

Baker Z.K.,Prasanna V.K.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx5/10083/32316/01508521.pdf?arnumber=1508521

Cited by 20 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Fast approximation of the top‐k items in data streams using FPGAs;IET Computers & Digital Techniques;2023-02-19

2. FPGA/GPU-based Acceleration for Frequent Itemsets Mining: A Comprehensive Review;ACM Computing Surveys;2022-12-31

3. Application of the Aho-Corasick algorithm to create a network intrusion detection system;Bulletin of TUIT: Management and Communication Technologies;2021-09-20

4. Implementation of Web Log Mining Device Under Apriori Algorithm Improvement and Confidence Formula Optimization;International Journal of Information Technology and Web Engineering;2020-10

5. Distributed Inference over Decision Tree Ensembles on Clusters of FPGAs;ACM Transactions on Reconfigurable Technology and Systems;2019-12-31

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