Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Hyeonmo Kim"'
Autor:
Chanhee Lee, Hanju Kim, Myungha Cho, Hyeonmo Kim, Bay Vo, Jerry Chun-Wei Lin, Philippe Fournier-Viger, Unil Yun
Publikováno v:
IEEE Access, Vol 12, Pp 77605-77620 (2024)
Top-k high utility pattern mining, which extracts the highest top-k patterns that the users want to find, has been actively studied. Most previous studies in this domain have focused on static databases, where data insertions do not occur. In the rea
Externí odkaz:
https://doaj.org/article/66c5b83abdfc45da983e03d51dfa964e
Publikováno v:
IEEE Access, Vol 11, Pp 43140-43158 (2023)
High utility pattern mining has been proposed to improve the traditional support-based pattern mining methods that process binary databases. High utility patterns are discovered by effectively considering the quantity and importance of items. Recentl
Externí odkaz:
https://doaj.org/article/1c26399b0ca547f7adb1f90bfc7e3f5b
Autor:
Chanhee Lee, Yoonji Baek, Taewoong Ryu, Hyeonmo Kim, Heonho Kim, Jerry Chun-Wei Lin, Bay Vo, Unil Yun
Publikováno v:
Information Sciences. 609:1288-1308
Autor:
Heonho Kim, Taewoong Ryu, Chanhee Lee, Hyeonmo Kim, Eunchul Yoon, Bay Vo, Jerry Chun-Wei Lin, Unil Yun
Publikováno v:
Expert Systems with Applications. 209:118214
Publikováno v:
Knowledge-Based Systems. 256:109702
Autor:
Heonho Kim, Taewoong Ryu, Chanhee Lee, Hyeonmo Kim, Tin Truong, Philippe Fournier-Viger, Witold Pedrycz, Unil Yun
Publikováno v:
ISA transactions. 131
High occupancy pattern mining has been recently studied as an improved method for frequent pattern mining. It considers the proportion of each pattern in the transactions where the pattern occurred. The results of high occupancy pattern mining can be