Mining Class Association Rules in Distributed Datasets

Authors

  • Nguyen Thi Thuy Loan Trường Cao đẳng Phát thanh - Truyền hình II
  • Đỗ Trung Tuấn Trường Đại học Khoa học Tự nhiên, Hà Nội
  • Nguyễn Hữu Ngự

DOI:

https://doi.org/10.15625/1813-9663/30/3/2842

Keywords:

CBA, CAR-Miner, class association rules, distributed, peer-to-peer network

Abstract

This paper proposes a method for mining class association rules in distributed datasets using peer-to-peer network. This method utilizes the computing performance of PCs in the network to process the local information at each site, and then only transfers the information of item sets that their supports satisfying the minimum support threshold to the mining site. Therefore, the proposed method can reduce the memory usage than that of transferring all dataset’s information to the mining site.

Author Biographies

Nguyen Thi Thuy Loan, Trường Cao đẳng Phát thanh - Truyền hình II

Trưởng khoa Công nghệ thông tin

Đỗ Trung Tuấn, Trường Đại học Khoa học Tự nhiên, Hà Nội

Giảng viên Khoa Toán - Cơ - Tin

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Published

2014-08-25

Issue

Section

Computer Science