Uncertainty Oriented-Incremental Erasable Pattern Mining Over Data Streams

Hanju Kim; Myungha Cho; Hyeonmo Kim; Yoonji Baek; Chanhee Lee; Taewoong Ryu; Heonho Kim; Seungwan Park; Doyoon Kim; Do‐Young Kim; Sinyoung Kim; Bay Vo; Jerry Chun‐Wei Lin; Witold Pedrycz; Unil Yun

doi:10.1109/tsmc.2024.3505904

Discussion(0)

No comments yet. Be the first to comment.

Related publications

Article2024

An efficient approach for incremental erasable utility pattern mining from non-binary data

Yoonji Baek, Hanju Kim, Myungha Cho, Hyeonmo Kim, Chanhee Lee, Taewoong Ryu, Heonho Kim, Bay Vo, Vincent W. Gan, Philippe Fournier‐Viger, Jerry Chun‐Wei Lin, Witold Pedrycz, Unil Yun

Article2005

Multiple aggregations over data streams

Rui Zhang, Nick Koudas, Beng Chin Ooi, Divesh Srivastava

Article2016

Mining erasable itemsets with subset and superset itemset constraints

Bay Vo, Tuong Le, Witold Pedrycz, Giang Nguyen, Sung Wook Baik

Article2003

Uncertainty, knowledge discovery and data mining in GIS

Giles Foody

Progress in Physical Geography Earth and Environment

Article2022

Mining high occupancy patterns to analyze incremental data in intelligent systems

Heonho Kim, Taewoong Ryu, Chanhee Lee, Hyeonmo Kim, Tin Truong, Philippe Fournier‐Viger, Witold Pedrycz, Unil Yun