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Advancing Sequential Pattern Mining for Interval-based Events: Current Challenges and Solutions

This research meeting led by Sungchan Park on September 23, 2009, focuses on the ongoing implementation of an algorithm for sequential pattern mining tailored to interval-based events. The effort involves re-implementing the TPrefixSpan algorithm with adaptations, including the H-DFS strategy, after encountering performance issues with the original implementation. Notably, the experimental results outlined in the original paper could not be reproduced, prompting modifications to the data generator and the use of diverse parameters on real-world datasets, such as the ASL and BCNI datasets.

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Advancing Sequential Pattern Mining for Interval-based Events: Current Challenges and Solutions

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  1. ResearchMeeting Sungchan Park 2009-09-23

  2. Sequential Pattern Mining for Interval-based Events • 구현 진행 중 • 내 알고리즘 • 재 구현 중(C++) • HTPM(TPrefixSpan 저자의 새 알고리즘) • 요쳥에 응답없음. • 직접 구현 예정 • H-DFS • 저자의 구현을 구했지만, 성능이 크게 나쁨 • 논문에 실린 실험 결과 재현불가능 • Memory leakage? • 직접 구현 예정 • 실험 Dataset • Data generator 수정 예정 • 다양한 parameter를 사용한 실험 위해 • Real world dataset • ASL dataset(Sign Language and Gesture) • BCNI dataset(Gene data) Center for E-Business Technology

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