Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Hyoju Nam"'
Publikováno v:
IEEE Access, Vol 8, Pp 50958-50968 (2020)
Traditional pattern mining is designed to handle binary database that assume all items in the database have same importance, there is a limitation to recognize accurate information from real-world databases using traditional method. To solve this pro
Externí odkaz:
https://doaj.org/article/0aab9f18ec714d40bae9be5a727cf854
Publikováno v:
KIISE Transactions on Computing Practices. 29:68-75
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a2e16a6e4082db9152c439d9d54b6962
https://doi.org/10.5626/ktcp.2023.29.2.68
https://doi.org/10.5626/ktcp.2023.29.2.68
Publikováno v:
IEEE Internet of Things Journal. 8:17333-17344
The Internet of Things (IoT) environment includes things that exchange information using data generated through sensors. The IoT technology can be executed efficiently by providing the necessary information to things instead of transmitting all the d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3382ecadc85df0086f3117817a4ea70c
https://doi.org/10.1109/jiot.2021.3080284
https://doi.org/10.1109/jiot.2021.3080284
Publikováno v:
Aerospace and Associated Technology ISBN: 9781003324539
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cfbfaa7e44138c0b5963f71aad5a06c0
https://doi.org/10.1201/9781003324539-102
https://doi.org/10.1201/9781003324539-102
Autor:
Hyoju Nam, Unil Yun, Jerry Chun-Wei Lin, H. S. Kim, Yoonji Baek, Heonho Kim, Witold Pedrycz, Bay Vo
Publikováno v:
ACM Transactions on Intelligent Systems and Technology. 12:1-27
Databases that deal with the real world have various characteristics. New data is continuously inserted over time without limiting the length of the database, and a variety of information about the items constituting the database is contained. Recent
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c6da6914d0e1cdea6c327a42cd81b70a
https://doi.org/10.1145/3430767
https://doi.org/10.1145/3430767
Publikováno v:
Information Sciences. 529:1-27
One of various pattern mining techniques, the High Utility Pattern Mining (HUPM) is a method for finding meaningful patterns from non-binary databases by considering the characteristics of the items. Recently, new data continues to flow over time in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9a3b1c1d1470375cad02c4b2219e8fec
https://doi.org/10.1016/j.ins.2020.03.030
https://doi.org/10.1016/j.ins.2020.03.030
Autor:
Bay Vo, Witold Pedrycz, Yoonji Baek, Heonho Kim, Jongseong Kim, Unil Yun, Eunchul Yoon, Judae Lee, Hyoju Nam, Tin C. Truong
Publikováno v:
Future Generation Computer Systems. 103:58-78
Most traditional pattern mining is designed to process binary databases, so there is a limit to extracting meaningful information from real-world databases. To solve this problem, high utility pattern mining method for analyzing a non-binary database
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::02b0a83dc597a555b2b0b7310843e795
https://doi.org/10.1016/j.future.2019.09.024
https://doi.org/10.1016/j.future.2019.09.024
Publikováno v:
Future Generation Computer Systems. 95:221-239
Since traditional frequent pattern mining approaches assume that all the items in binary databases have the same importance regardless of their own features, they have difficulty in satisfying requirements of real world applications such as finding p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fd37bba4751e49cf8721183aef55d7d7
https://doi.org/10.1016/j.future.2018.12.029
https://doi.org/10.1016/j.future.2018.12.029
Autor:
Hyoju Nam, Yoonji Baek, Jerry Chun-Wei Lin, Gangin Lee, Unil Yun, Eunchul Yoon, Bay Vo, Heonho Kim
Publikováno v:
Engineering Applications of Artificial Intelligence. 94:103735
Several pattern mining methods have been proposed to process dynamic data streams because the data generated in industrial fields is continually accumulated. Erasable pattern mining techniques for processing dynamic data streams are needed to discove
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::edc66dae7951366dba11d44099b5c6e0
https://doi.org/10.1016/j.engappai.2020.103735
https://doi.org/10.1016/j.engappai.2020.103735
Publikováno v:
Expert Systems with Applications. 143:113087
Erasable pattern mining is one of the important fields of frequent pattern mining. It diagnoses and solves the economic problems that arise in the manufacturing industry. The real-world database is continually accumulated over time, and each item has
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e6e7d0786cf2eb585bef9f118294a530
https://doi.org/10.1016/j.eswa.2019.113087
https://doi.org/10.1016/j.eswa.2019.113087