587 search results - page 46 / 118 » Clustering Improves the Exploration of Graph Mining Results |
106
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TDP
2010
14 years 6 months ago
2010
The ability to store vast quantities of data and the emergence of high speed networking have led to intense interest in distributed data mining. However, privacy concerns, as well ...
109
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KDD
2008
ACM
16 years 7 days ago
2008
ACM
Information-theoretic clustering aims to exploit information theoretic measures as the clustering criteria. A common practice on this topic is so-called INFO-K-means, which perfor...
109
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JIIS
2006
14 years 11 months ago
2006
: Geographic information (e.g., locations, networks, and nearest neighbors) are unique and different from other aspatial attributes (e.g., population, sales, or income). It is a ch...
ITNG
2010
IEEE
15 years 4 months ago
2010
IEEE
— Clustering is a pivotal building block in many data mining applications and in machine learning in general. Most clustering algorithms in the literature pertain to off-line (or...
101
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PC
2010
14 years 10 months ago
2010
Graph component labelling, which is a subset of the general graph colouring problem, is a computationally expensive operation that is of importance in many applications and simula...