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FUIN
2002
132views more  FUIN 2002»
13 years 7 months ago
RIONA: A New Classification System Combining Rule Induction and Instance-Based Learning
The article describes a method combining two widely-used empirical approaches to learning from examples: rule induction and instance-based learning. In our algorithm (RIONA) decisi...
Grzegorz Góra, Arkadiusz Wojna
SEMWEB
2009
Springer
14 years 2 months ago
RiMOM Results for OAEI 2009
In this report, we give a brief explanation of how RiMOM obtains the results at OAEI 2009 Campaign, especially in the new Instance Matching track. At first, we show the basic alig...
Xiao Zhang, Qian Zhong, Feng Shi, Juanzi Li, Jie T...
CORR
2010
Springer
139views Education» more  CORR 2010»
13 years 2 months ago
Data Cleaning and Query Answering with Matching Dependencies and Matching Functions
Matching dependencies were recently introduced as declarative rules for data cleaning and entity resolution. Enforcing a matching dependency on a database instance identifies the ...
Leopoldo E. Bertossi, Solmaz Kolahi, Laks V. S. La...
PODS
2008
ACM
141views Database» more  PODS 2008»
14 years 7 months ago
On the complexity of deriving schema mappings from database instances
We introduce a theoretical framework for discovering relationships between two database instances over distinct and unknown schemata. This framework is grounded in the context of ...
Pierre Senellart, Georg Gottlob
KDD
2002
ACM
126views Data Mining» more  KDD 2002»
14 years 8 months ago
Integrating feature and instance selection for text classification
Instance selection and feature selection are two orthogonal methods for reducing the amount and complexity of data. Feature selection aims at the reduction of redundant features i...
Dimitris Fragoudis, Dimitris Meretakis, Spiros Lik...