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» Identifying Objects Using Cluster and Concept Analysis
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ICDM
2009
IEEE
167views Data Mining» more  ICDM 2009»
14 years 9 months ago
Self-Adaptive Anytime Stream Clustering
Clustering streaming data requires algorithms which are capable of updating clustering results for the incoming data. As data is constantly arriving, time for processing is limited...
Philipp Kranen, Ira Assent, Corinna Baldauf, Thoma...
KDD
2010
ACM
208views Data Mining» more  KDD 2010»
14 years 9 months ago
Towards mobility-based clustering
Identifying hot spots of moving vehicles in an urban area is essential to many smart city applications. The practical research on hot spots in smart city presents many unique feat...
Siyuan Liu, Yunhuai Liu, Lionel M. Ni, Jianping Fa...
TVCG
2008
95views more  TVCG 2008»
14 years 11 months ago
Improving the Readability of Clustered Social Networks using Node Duplication
Exploring communities is an important task in social network analysis. Such communities are currently identified using clustering methods to group actors. This approach often leads...
Nathalie Henry, Anastasia Bezerianos, Jean-Daniel ...
ICCS
2001
Springer
15 years 3 months ago
Many-Valued Context Analysis Using Descriptions
Abstract. We propose an approach to many-valued contexts using formal descriptions instead of scaling. The underlying idea is the philosphical definition of a concept as a set of ...
Ralf Gugisch
ECOOP
1998
Springer
15 years 3 months ago
Classifying Inheritance Mechanisms in Concurrent Object Oriented Programming
Abstract. Inheritance is one of the key concepts in object-oriented programming. However, the usefulness of inheritance in concurrent objectoriented programming is greatly reduced ...
Lobel Crnogorac, Anand S. Rao, Kotagiri Ramamohana...