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» Watermarking relational data: framework, algorithms and anal...
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ICML
2007
IEEE
15 years 12 months ago
Relational clustering by symmetric convex coding
Relational data appear frequently in many machine learning applications. Relational data consist of the pairwise relations (similarities or dissimilarities) between each pair of i...
Bo Long, Zhongfei (Mark) Zhang, Xiaoyun Wu, Philip...
SDM
2012
SIAM
237views Data Mining» more  SDM 2012»
13 years 1 months ago
A Distributed Kernel Summation Framework for General-Dimension Machine Learning
Kernel summations are a ubiquitous key computational bottleneck in many data analysis methods. In this paper, we attempt to marry, for the first time, the best relevant technique...
Dongryeol Lee, Richard W. Vuduc, Alexander G. Gray
RIDE
1993
IEEE
15 years 3 months ago
Integration of Relational Databases in a Multidatabase System based on Schema Enrichment
In this paper, we describe a framework for an object-oriented modeling of meta information and its use for the integration of heterogeneous databases with the goal of their intero...
Daniel A. Keim, Hans-Peter Kriegel, Andreas Mieths...
TNN
1998
123views more  TNN 1998»
14 years 10 months ago
A general framework for adaptive processing of data structures
—A structured organization of information is typically required by symbolic processing. On the other hand, most connectionist models assume that data are organized according to r...
Paolo Frasconi, Marco Gori, Alessandro Sperduti
ISVC
2010
Springer
14 years 9 months ago
Visual Exploration of Stream Pattern Changes Using a Data-Driven Framework
Abstract. When using visualization techniques to explore data streams, an important task is to convey pattern changes. Challenges include: (1) Most data analysis tasks require user...
Zaixian Xie, Matthew O. Ward, Elke A. Rundensteine...