1599 search results - page 191 / 320 » Theoretical Frameworks for Data Mining |
KDD
2007
ACM
14 years 9 months ago
2007
ACM
Data clustering is an important task in many disciplines. A large number of studies have attempted to improve clustering by using the side information that is often encoded as pai...
ICDM
2007
IEEE
14 years 3 months ago
2007
IEEE
Typical clustering algorithms output a single clustering of the data. However, in real world applications, data can often be interpreted in many different ways; data can have diff...
KDD
2006
ACM
14 years 9 months ago
2006
ACM
Kernel machines have been shown as the state-of-the-art learning techniques for classification. In this paper, we propose a novel general framework of learning the Unified Kernel ...
ICDM
2008
IEEE
14 years 3 months ago
2008
IEEE
Clustering problems often involve datasets where only a part of the data is relevant to the problem, e.g., in microarray data analysis only a subset of the genes show cohesive exp...
ICS
2007
Tsinghua U.
14 years 3 months ago
2007
Tsinghua U.
Software or hardware data cache prefetching is an efficient way to hide cache miss latency. However effectiveness of the issued prefetches have to be monitored in order to maximi...