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DKE
2007
153views more  DKE 2007»
13 years 7 months ago
Adaptive similarity search in streaming time series with sliding windows
The challenge in a database of evolving time series is to provide efficient algorithms and access methods for query processing, taking into consideration the fact that the databas...
Maria Kontaki, Apostolos N. Papadopoulos, Yannis M...
COOPIS
2004
IEEE
13 years 11 months ago
Learning Classifiers from Semantically Heterogeneous Data
Semantically heterogeneous and distributed data sources are quite common in several application domains such as bioinformatics and security informatics. In such a setting, each dat...
Doina Caragea, Jyotishman Pathak, Vasant Honavar
CIKM
2010
Springer
13 years 5 months ago
Automatic schema merging using mapping constraints among incomplete sources
Schema merging is the process of consolidating multiple schemas into a unified view. The task becomes particularly challenging when the schemas are highly heterogeneous and autono...
Xiang Li 0002, Christoph Quix, David Kensche, Sand...
RIAO
2004
13 years 8 months ago
Ontologies as Background Knowledge to Explore Document Collections
This paper introduces a new approach to provide users with solutions to explore a domain via an information space. A key point in our approach is that information searching and ex...
Nathalie Aussenac-Gilles, Josiane Mothe
ICDM
2006
IEEE
133views Data Mining» more  ICDM 2006»
14 years 1 months ago
An Experimental Investigation of Graph Kernels on a Collaborative Recommendation Task
This work presents a systematic comparison between seven kernels (or similarity matrices) on a graph, namely the exponential diffusion kernel, the Laplacian diffusion kernel, the ...
François Fouss, Luh Yen, Alain Pirotte, Mar...