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» Clustering-Based K-Anonymisation Algorithms
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EDBT
2004
ACM
268views Database» more  EDBT 2004»
14 years 7 months ago
DBDC: Density Based Distributed Clustering
Abstract. Clustering has become an increasingly important task in modern application domains such as marketing and purchasing assistance, multimedia, molecular biology as well as m...
Eshref Januzaj, Hans-Peter Kriegel, Martin Pfeifle
ESTIMEDIA
2003
Springer
14 years 9 days ago
Perception Coprocessors for Embedded Systems
Recognizing speech, gestures, and visual features are important interface capabilities for embedded mobile systems. Perception algorithms have many traits in common with more conv...
Binu K. Mathew, Al Davis, Ali Ibrahim
KDD
2009
ACM
243views Data Mining» more  KDD 2009»
14 years 7 months ago
Exploiting Wikipedia as external knowledge for document clustering
In traditional text clustering methods, documents are represented as "bags of words" without considering the semantic information of each document. For instance, if two ...
Xiaohua Hu, Xiaodan Zhang, Caimei Lu, E. K. Park, ...
GIS
2007
ACM
14 years 1 months ago
Cell-based generalization of 3D building groups with outlier management
In this paper, we present a technique that generalizes 3D building groups of virtual 3D city models according to a cell structure that is derived from infrastructure networks. In ...
Tassilo Glander, Jürgen Döllner
ICDM
2006
IEEE
100views Data Mining» more  ICDM 2006»
14 years 1 months ago
Meta Clustering
Clustering is ill-defined. Unlike supervised learning where labels lead to crisp performance criteria such as accuracy and squared error, clustering quality depends on how the cl...
Rich Caruana, Mohamed Farid Elhawary, Nam Nguyen, ...