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183
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HIPS
1998
IEEE
15 years 11 months ago
A Graph-Based Framework for the Definition of Tools Dealing with Sparse and Irregular Distributed Data Structures
Industrial applications use specific problem-oriented implementations of large sparse and irregular data structures. Hence there is a need for tools that make it possible for deve...
Jean-Michel Lépine, Serge Chaumette, Frank ...
241
Voted
ICDM
2007
IEEE
248views Data Mining» more  ICDM 2007»
15 years 11 months ago
Adapting SVM Classifiers to Data with Shifted Distributions
Many data mining applications can benefit from adapting existing classifiers to new data with shifted distributions. In this paper, we present Adaptive Support Vector Machine (Ada...
Jun Yang 0003, Rong Yan, Alexander G. Hauptmann
BTW
2007
Springer
191views Database» more  BTW 2007»
16 years 1 months ago
The Information Integrator: Using Semantic Technology to provide a single view to distributed data
: For the integration of data that resides in autonomous data sources Software AG uses ontologies. Data source ontologies describe the data sources themselves. Business ontologies ...
Jürgen Angele, Michael Gesmann
PAKDD
2000
ACM
140views Data Mining» more  PAKDD 2000»
15 years 11 months ago
Performance Controlled Data Reduction for Knowledge Discovery in Distributed Databases
The objective of data reduction is to obtain a compact representation of a large data set to facilitate repeated use of non-redundant information with complex and slow learning alg...
Slobodan Vucetic, Zoran Obradovic
PERCOM
2007
ACM
16 years 7 months ago
Securing distributed data storage and retrieval in sensor networks
Sensor networks have been an attractive platform for pervasive computing and communication. Due to the lack of physical protection, however, sensor networks are vulnerable to atta...
Nalin Subramanian, Chanjun Yang, Wensheng Zhang