Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Toan Nguyen-Mau"'
Autor:
Nu Dieu Khue Ngo, Roengchai Tansuchat, Pham-Van Cu, Toan Nguyen Mau, Youji Kohda, Van-Nam Huynh
Publikováno v:
IEEE Access, Vol 11, Pp 68139-68152 (2023)
In the era of fierce competition under the evolution of advanced technologies, service innovation plays a decisive role in the survival of organizations. The service innovation evaluation problem becomes necessary for organizations to review their in
Externí odkaz:
https://doaj.org/article/03254363ff3e4a7db45df9c6e7d5832b
Publikováno v:
IEEE Access, Vol 10, Pp 34196-34206 (2022)
This paper addresses the problem of fuzzy clustering for categorical data. During the last two decades, many attempts have been made to extend the $k$ -means algorithm, making it applicable to clustering for categorical data, due to its simplicity an
Externí odkaz:
https://doaj.org/article/a366ad1fbdaa4b359e64f4882329d158
Publikováno v:
IEEE Access, Vol 10, Pp 37281-37293 (2022)
This paper addresses the problem of multi-criteria recommendation in the hotel industry. The main focus is to analyze user preferences from different aspects based on multi-criteria ratings and develop a new multi-criteria collaborative filtering met
Externí odkaz:
https://doaj.org/article/294daf4d49604bb39fd2029175b60f42
Publikováno v:
IEEE Access, Vol 9, Pp 16448-16466 (2021)
This paper proposes a new outlier detection approach that measures the degree of outlierness for each instance in a given dataset. The proposed model utilizes a mass-based dissimilarity measure to address the weaknesses of neighbor-based outlier mode
Externí odkaz:
https://doaj.org/article/080dbc449a154aa4bec8d50b6a6ed8b7
Publikováno v:
IEEE Transactions on Engineering Management. :1-18
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::51b0309bfc9f027eeae5b86fafb60bfe
https://doi.org/10.1109/tem.2021.3135556
https://doi.org/10.1109/tem.2021.3135556
Autor:
Toan Nguyen Mau, Yasushi Inoguchi
Publikováno v:
Journal of Information and Telecommunication, Vol 2, Iss 3, Pp 265-290 (2018)
Audio fingerprint was developed for representing the audio based on the content of waveform. With the audio fingerprint database, we can easily manage the song/music with high reliability and flexibility. However, with the well-developed Internet of
Externí odkaz:
https://doaj.org/article/efc04b65296f46b6a2f963468a2e4178
Publikováno v:
IEEE Access. 10:37281-37293
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1a8f9452e4cf6ae7d098c43d59ebab09
https://doi.org/10.1109/access.2022.3165310
https://doi.org/10.1109/access.2022.3165310
Autor:
Toan Nguyen Mau, Yasushi Inoguchi
Publikováno v:
Applied Sciences, Vol 10, Iss 7, p 2539 (2020)
It is challenging to build a real-time information retrieval system, especially for systems with high-dimensional big data. To structure big data, many hashing algorithms that map similar data items to the same bucket to advance the search have been
Externí odkaz:
https://doaj.org/article/3459e013e18743b7aa281bb3bd313cb5
Autor:
Toan Nguyen Mau, Van-Nam Huynh
Publikováno v:
Neurocomputing. 463:29-44
Clustering categorical data remains a challenging problem in the era of big data, due to the difficulty in measuring dis/similarity meaningfully for categorical data and the high computational complexity of existing clustering algorithms that makes i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1000672332709f03544a653fe28f2e15
https://doi.org/10.1016/j.neucom.2021.08.050
https://doi.org/10.1016/j.neucom.2021.08.050
Autor:
Van-Nam Huynh, Toan Nguyen Mau
Publikováno v:
FUZZ-IEEE
Fuzzy cluster analysis plays an essential role in addressing unclear boundaries between clusters in data and aims to group objects into fuzzy clusters based on their similarities. In this paper, we propose a new method for fuzzy clustering of data wi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::77ea3e136ddad8f0f4310d468333f318
https://doi.org/10.1109/fuzz45933.2021.9494597
https://doi.org/10.1109/fuzz45933.2021.9494597