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KDD
2009
ACM
224views Data Mining» more  KDD 2009»
14 years 15 days ago
Issues in evaluation of stream learning algorithms
Learning from data streams is a research area of increasing importance. Nowadays, several stream learning algorithms have been developed. Most of them learn decision models that c...
João Gama, Raquel Sebastião, Pedro P...
ICDE
2010
IEEE
198views Database» more  ICDE 2010»
14 years 1 months ago
Power-aware data analysis in sensor networks
Abstract— Sensor networks have evolved to a powerful infrastructure component for event monitoring in many application scenarios. In addition to simple filter and aggregation op...
Daniel Klan, Katja Hose, Marcel Karnstedt, Kai-Uwe...
CIKM
2011
Springer
12 years 7 months ago
Scalable entity matching computation with materialization
Entity matching (EM) is the task of identifying records that refer to the same real-world entity from different data sources. While EM is widely used in data integration and data...
Sanghoon Lee, Jongwuk Lee, Seung-won Hwang
CIKM
2006
Springer
13 years 11 months ago
Adaptive non-linear clustering in data streams
Data stream clustering has emerged as a challenging and interesting problem over the past few years. Due to the evolving nature, and one-pass restriction imposed by the data strea...
Ankur Jain, Zhihua Zhang, Edward Y. Chang
INFORMATICALT
2010
110views more  INFORMATICALT 2010»
13 years 5 months ago
From XML to Relational Models
For many businesses and organizations, the achievement of interoperability has proven to be a highly desirable goal. However, without efficient schema mapping mechanisms or models ...
Elena Castro, Dolores Cuadra, Manuel Velasco