Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Taewoong Ryu"'
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
Publikováno v:
International Journal of Intelligent Systems. 37:5477-5507
Autor:
Taewoong Ryu, Heonho Kim, Chanhee Lee, Heonmo Kim, Bay Vo, Jerry Chun-Wei Lin, Witold Pedrycz, Unil Yun
Publikováno v:
IEEE transactions on cybernetics.
Fuzzy utility (FU) pattern mining with an advantage in human reasoning has become one of the interesting topics in studies of knowledge discovery. The discovered information in FU pattern mining from real-life quantitative databases with item profits
Autor:
Witold Pedrycz, Jerry Chun-Wei Lin, Taewoong Ryu, Philippe Fournier-Vier, Jongseong Kim, H. S. Kim, Unil Yun
Publikováno v:
International Journal of Intelligent Systems. 36:5741-5769
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