Sequential Sequence Mining Technique in Large Database

被引：0

作者：

Amin, Kiran R. ^{[1
]}

Shah, J. S. ^{[2
]}

机构：

[1] UV Patel Coll Engn, Dept Comp Engn, Ganpat Vidyanagar, India

[2] Govt Engn Coll, Patan, India

来源：

2013 INTERNATIONAL CONFERENCE ON MACHINE INTELLIGENCE AND RESEARCH ADVANCEMENT (ICMIRA 2013) | 2013年

关键词：

Extended Sequential Sequence; Support; Sequence Generator table; data-sequence; large database;

D O I：

10.1109/ICMIRA.2013.61

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

To find sequential sequence from the database, several sequential sequence mining techniques are developed. We have proposed the series of MySSM algorithms. These algorithms generate a sequential sequence from given database by considering time interval. Our new proposed a sequential sequence mining technique produces sequential sequences from the large database. It considers the time gap between successive items to be purchased by the customers. It produces the sequential sequences with reasonable amount of Time and Memory.

引用

页码：290 / 293

页数：4

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