A Data Mining Approach for Developing Online Streaming Recommendations
Online streaming has become increasingly popular with the availability of broadband networks and the increase in computing power and electronic distribution. Online streaming operators have difficulty developing flexible business alternatives according to users’ changing streaming behaviors in terms...
Main Authors: | Shu-Hsien Liao, Retno Widowati, Hao-Yu Chang |
---|---|
Format: | Article |
Language: | English |
Published: |
Taylor & Francis Group
2021-12-01
|
Series: | Applied Artificial Intelligence |
Online Access: | http://dx.doi.org/10.1080/08839514.2021.1997211 |
Similar Items
-
Data stream mining
by: Wan, Li
Published: (2009) -
Data stream mining
by: Huang, Lelun.
Published: (2010) -
Concurrent data stream mining
by: Wang, Wenwen.
Published: (2009) -
Adaptive stream mining : pattern learning and mining from evolving data streams /
by: 523371 Bifet, Albert
Published: (c201) -
A New Data-Stream-Mining-Based Battery Equalization Method
by: Cheng Lin, et al.
Published: (2015-06-01)