Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Gary C. L. Li"'
Publikováno v:
IEEE Access, Vol 4, Pp 7847-7858 (2016)
Pattern mining has been widely used to uncover interesting patterns from data. However, one of its main problems is that it produces too many patterns and many of them are redundant. To reduce the number of redundant patterns and retain overlapping o
Externí odkaz:
https://doaj.org/article/7efd219820604a0cb38fc094f1a9191c
Publikováno v:
IEEE Access, Vol 4, Pp 7847-7858 (2016)
Pattern mining has been widely used to uncover interesting patterns from data. However, one of its main problems is that it produces too many patterns and many of them are redundant. To reduce the number of redundant patterns and retain overlapping o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9fff407d17c51b1ee7b50fc075b4c3e1
https://ieeexplore.ieee.org/document/7742397/
https://ieeexplore.ieee.org/document/7742397/
Publikováno v:
IEEE Transactions on Knowledge and Data Engineering. 26:2969-2982
Multivariate time series are common in many application domains, particularly in industrial processes with a large number of sensors installed for process monitoring and control. Often, such data encapsulate complex relations among individual series.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::523fe999d8b53fac1febc78891a97477
https://doi.org/10.1109/tkde.2014.2310219
https://doi.org/10.1109/tkde.2014.2310219
Publikováno v:
IEEE Transactions on Knowledge and Data Engineering. 24:1408-1421
Discovering patterns from sequence data has significant impact in many aspects of science and society, especially in genomics and proteomics. Here we consider multiple strings as input sequence data and substrings as patterns. In the real world, usua
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b13503cd0b9ef357812b15fe093c096e
https://doi.org/10.1109/tkde.2011.100
https://doi.org/10.1109/tkde.2011.100
Autor:
Gary C. L. Li, Andrew K. C. Wong
Publikováno v:
IEEE Transactions on Knowledge and Data Engineering. 20:911-923
In data mining and knowledge discovery, pattern discovery extracts previously unknown regularities in the data and is a useful tool for categorical data analysis. However, the number of patterns discovered is often overwhelming. It is difficult and t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d0514ad0ed11669a1453ef40836b33da
https://doi.org/10.1109/tkde.2008.38
https://doi.org/10.1109/tkde.2008.38
Autor:
Raymond S. T. Lee, Gary C. L. Li
Publikováno v:
Journal of Intelligent Manufacturing. 16:669-678
Scene segmentation is one of the most important tasks in research and commercial applications. With the rapid development of Internet, there is an increasing demand for real-time, mobile and autonomous multi-media system to increase the user-friendli
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a166189c6584dcdce22909661668cd0c
https://doi.org/10.1007/s10845-005-4370-2
https://doi.org/10.1007/s10845-005-4370-2
Publikováno v:
Encyclopedia of Data Warehousing and Mining
A basic task of machine learning and data mining is to automatically uncover patterns that reflect regularities in a data set. When dealing with a large database, especially when domain knowledge is not available or very weak, this can be a challengi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6fe13c9145e756570286d5d22d174de5
https://doi.org/10.4018/978-1-60960-818-7.ch804
https://doi.org/10.4018/978-1-60960-818-7.ch804
Publikováno v:
Pattern Recognition, Machine Intelligence and Biometrics ISBN: 9783642224065
Today, a huge amount of DNA and protein sequences are available, but the growth of biological knowledge has not kept pace with the increasing data. Hence much more effective computational methods are required to reveal the inherent functional units i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dbc33032b1d89235aa1fabe94d1ac481
https://doi.org/10.1007/978-3-642-22407-2_2
https://doi.org/10.1007/978-3-642-22407-2_2
Publikováno v:
Pattern Recognition in Bioinformatics ISBN: 9783642160004
PRIB
PRIB
Discovering patterns from sequence data has significant impact in genomics, proteomics and business. A problem commonly encountered is that the patterns discovered often contain many redundancies resulted from fake significant patterns induced by the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::644653c62574d31db3502e3f6910c743
https://doi.org/10.1007/978-3-642-16001-1_13
https://doi.org/10.1007/978-3-642-16001-1_13
Autor:
Raymond S. T. Lee, Gary C. L. Li
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783540232063
KES
KES
Scene segmentation is one of the most important tasks in research and commercial applications. With the rapid development of Internet, there is an increasing demand for real-time, mobile and autonomous multi-media system to increase the user-friendli
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::75078d5cab596b112335d4acda35ee9c
https://doi.org/10.1007/978-3-540-30133-2_72
https://doi.org/10.1007/978-3-540-30133-2_72