Browsing by Author "Hsiao, Chun-Yuan"
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Item type:Item, A Disk-Based Mining Algorithm for Frequent Pattern Discovery from Big Data in Distributed Computing Environments(2016-11) ;Lin, Kawuu W. ;Chung, Sheng-Hao ;Hsiao, Chun-Yuan ;Lin, Chun-ChengChen, Pei-LingIn distributed computing environments, frequent pattern mining by a multi-computing node can greatly improve mining efficiency. However, the drawback of memory limitations may cause interruption in the kernel and computing nodes when recursively building a frequent pattern (FP) tree or an FP-growth algorithm. In this paper, we propose disk-based FP-tree generation and node-based clustering mechanisms to solve the insufficient memory problem. Results from empirical evaluations show that the proposed method delivers excellent scalability.Item type:Item, A Disk-Based Mining Algorithm for Frequent Pattern Discovery from Big Data in Distributed Computing Environments(2016-11-01) ;Lin, Kawuu W. ;Chung, Sheng-Hao ;Hsiao, Chun-Yuan ;Lin, Chun-ChengChen, Pei-LingIn distributed computing environments, frequent pattern mining by a multi-computing node can greatly improve mining efficiency. However, the drawback of memory limitations may cause interruption in the kernel and computing nodes when recursively building a frequent pattern (FP) tree or an FP-growth algorithm. In this paper, we propose disk-based FP-tree generation and node-based clustering mechanisms to solve the insufficient memory problem. Results from empirical evaluations show that the proposed method delivers excellent scalability.