CRoM and HuspExt: Improving Efficiency of High Utility Sequential Pattern Extraction
作者： Oznur Kirmemis Alkan , Pinar Karagoz
DOI: 10.1109/TKDE.2015.2420557
关键词: Pruning (decision trees) 、 Computational complexity theory 、 Machine learning 、 Degree (graph theory) 、 Computer science 、 Data structure 、 Sequential Pattern Mining 、 Artificial intelligence 、 Scale (descriptive set theory) 、 Data mining
摘要: … In this paper, we propose a generic framework for high utility sequential pattern … patterns before generation and HuspExt algorithm that utilizes efficient data structures during utility …
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