A Disk-Based Mining Algorithm for Frequent Pattern Discovery from Big Data in Distributed Computing Environments

Kawuu W. Lin ； Sheng-Hao Chung ； Chun-Yuan Hsiao ； Chun-Cheng Lin ； Pei-Ling Chen

《網際網路技術學刊》 17卷6期 (2016/11) Pp. 1259-1268

https://doi.org/10.6138/JIT.2016.17.6.20150603c

摘要

In 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.

關鍵字

Data mining ； Frequent pattern mining ； Clustering ； Distributed computing