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» Learning Classifiers from Semantically Heterogeneous Data
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VLDB
1993
ACM
91views Database» more  VLDB 1993»
13 years 11 months ago
Managing Semantic Heterogeneity with Production Rules and Persistent Queues
Abstract. We show that production rules and persistent queues together provide a convenient mechanism for maintaining consistency in semantically heterogeneous multidatabase enviro...
Stefano Ceri, Jennifer Widom
SEKE
2005
Springer
14 years 1 months ago
From Data to Knowledge: an Integrated Rule-Based Data Mining System
This paper presents an integrated rule-based data mining system that is capable of creating rulebased classifiers with web-based user interface from data sets provided by end user...
Chien-Chung Chan, Zhicheng Su
DEXAW
2009
IEEE
86views Database» more  DEXAW 2009»
14 years 2 months ago
Robust Service-Based Semantic Querying to Distributed Heterogeneous Databases
— The amount of semantic data on the Web has increased exponentially in the last years. One of the main reasons for this is the use of RDB2RDF systems, which generate RDF data fr...
Carlos Buil Aranda, Óscar Corcho, Amy Kraus...
PODS
2008
ACM
165views Database» more  PODS 2008»
14 years 7 months ago
Data exchange and schema mappings in open and closed worlds
In the study of data exchange one usually assumes an openworld semantics, making it possible to extend instances of target schemas. An alternative closed-world semantics only move...
Leonid Libkin, Cristina Sirangelo
KDD
2005
ACM
149views Data Mining» more  KDD 2005»
14 years 1 months ago
A distributed learning framework for heterogeneous data sources
We present a probabilistic model-based framework for distributed learning that takes into account privacy restrictions and is applicable to scenarios where the different sites ha...
Srujana Merugu, Joydeep Ghosh