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作者:

Tong, Ziqi (Tong, Ziqi.) | Liao, Husheng (Liao, Husheng.) (学者:廖湖声) | Jin, Xueyun (Jin, Xueyun.)

收录:

CPCI-S

摘要:

This paper presented a frequent pattern mining algorithm SSDTreeMiner used in semi structured data streams. The algorithm gets the frequent pattern in the target time by using the adding and deleting principle and maintaining the sliding windows, at the same time, uses the time attenuation model to eliminate the influence of historical data in the mining process, compared with the traditional algorithms, the SSDTreeMiner algorithm can deal with high speed and complex data streams and complete mining tasks real-timely and efficiently.

关键词:

data stream frequent pattern mining semi structured data

作者机构:

  • [ 1 ] [Tong, Ziqi]Beijing Univ Technol, Fac Informat Technol, Beijing, Peoples R China
  • [ 2 ] [Liao, Husheng]Beijing Univ Technol, Fac Informat Technol, Beijing, Peoples R China
  • [ 3 ] [Jin, Xueyun]Beijing Univ Technol, Fac Informat Technol, Beijing, Peoples R China

通讯作者信息:

  • [Tong, Ziqi]Beijing Univ Technol, Fac Informat Technol, Beijing, Peoples R China

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来源 :

2017 IEEE 2ND INTERNATIONAL CONFERENCE ON BIG DATA ANALYSIS (ICBDA)

年份: 2017

页码: 274-280

语种: 英文

被引次数:

WoS核心集被引频次: 0

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ESI高被引论文在榜: 0 展开所有

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