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DKE
2006
125views more  DKE 2006»
14 years 12 months ago
Online clustering of parallel data streams
In recent years, the management and processing of so-called data streams has become a topic of active research in several fields of computer science such as, e.g., distributed sys...
Jürgen Beringer, Eyke Hüllermeier
CORR
2010
Springer
138views Education» more  CORR 2010»
14 years 12 months ago
Data Stream Clustering: Challenges and Issues
Very large databases are required to store massive amounts of data that are continuously inserted and queried. Analyzing huge data sets and extracting valuable pattern in many appl...
Madjid Khalilian, Norwati Mustapha
SIGMOD
1999
ACM
183views Database» more  SIGMOD 1999»
15 years 4 months ago
OPTICS: Ordering Points To Identify the Clustering Structure
Cluster analysis is a primary method for database mining. It is either used as a stand-alone tool to get insight into the distribution of a data set, e.g. to focus further analysi...
Mihael Ankerst, Markus M. Breunig, Hans-Peter Krie...
MICCAI
2002
Springer
16 years 21 days ago
Robust Registration of Multi-modal Images: Towards Real-Time Clinical Applications
Abstract. High performance computing has become a key step to introduce computer tools, like real-time registration, in the medical field. To achieve real-time processing, one usua...
Radu Stefanescu, Sébastien Ourselin, Xavier...
ICDE
2009
IEEE
202views Database» more  ICDE 2009»
16 years 1 months ago
Tracking High Quality Clusters over Uncertain Data Streams
Recently, data mining over uncertain data streams has attracted a lot of attentions because of the widely existed imprecise data generated from a variety of streaming applications....
Chen Zhang, Ming Gao, Aoying Zhou