A Novel and Efficient Distributed Data Mining Algorithm Based on Frequent Pattern-Tree

碩士 === 國立中正大學 === 資訊管理所暨醫療資訊管理所 === 97 === In this paper, we proposed a novel algorithm which is implemented on the distributed system that can efficiently solve the problem of FP-tree. The algorithm uses divide and conquer to split big database into several sub-database. With data division, the alg...

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Bibliographic Details
Main Authors: Tz-ke Wu, 吳子科
Other Authors: 吳帆
Format: Others
Language:en_US
Published: 2009
Online Access:http://ndltd.ncl.edu.tw/handle/14377152327481581455
Description
Summary:碩士 === 國立中正大學 === 資訊管理所暨醫療資訊管理所 === 97 === In this paper, we proposed a novel algorithm which is implemented on the distributed system that can efficiently solve the problem of FP-tree. The algorithm uses divide and conquer to split big database into several sub-database. With data division, the algorithm can reduce the total execution time of algorithm. The algorithm doesn’t construct the whole FP-tree. Instead, with intermittence, a time division mechanism, the algorithm can also efficiently reduce the execution time. We also compress the data into a one dimensional array while transmitting, which can reduce the communication cost.