Pattern Exploration as Keyword Search

被引:0
作者
Gao, Byron J. [1 ]
机构
[1] Texas State Univ, Dept Comp Sci, San Marcos, TX 78666 USA
来源
2020 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA) | 2020年
关键词
pattern mining; pattern evaluation; pattern exploration; pattern retrieval; keyword search;
D O I
10.1109/BigData50022.2020.9377908
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Frequent pattern mining is one of the central tasks in data mining with broad applications in diverse domains. The mining process typically returns an overwhelmingly large number of patterns, making pattern evaluation and exploration extremely difficult. In this project, we adapt and extend information retrieval techniques to implement pattern retrieval, where we introduce Peak, an IR-based system that features a user-friendly keyword search interface allowing users to effectively explore itemset and sequential patterns based on their interest.
引用
收藏
页码:5676 / 5678
页数:3
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