计算机科学
数据挖掘
关联规则学习
按位运算
罕见事件
毒蛇
高效算法
口译(哲学)
算法
人工智能
模式识别(心理学)
数学
程序设计语言
生态学
统计
生物
毒液
作者
Elieser Capillar,Chowdhury Abdul Mumin Ishmam,Carson K. Leung,Adam G.M. Pazdor,Prabhanshu Shrivastava,Ngoc Truong
标识
DOI:10.1007/978-3-031-39831-5_13
摘要
Rare patterns are essential forms of patterns in many real-world applications such as interpretation of biological data, mining of rare association rules between diseases and their causes, detection of anomalies. However, discovering rare patterns can be challenging. In this paper, we present an efficient algorithm for mining minimal rare patterns from sparse and weakly correlated data. The algorithm non-trivially integrates and adapts vertical frequent pattern algorithm VIPER to discover minimal rare patterns in an efficient manner. Evaluation results on our algorithm RP-VIPER show its superiority over existing horizontal rare pattern mining algorithms. Results also highlight the performance improvements brought by our optimized strategies.
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