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» Matching and integration across heterogeneous data sources
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DBKDA
2009
IEEE
136views Database» more  DBKDA 2009»
15 years 3 months ago
Visualization and Integration of Databases Using Self-Organizing Map
Abstract--With the growing computer networks, accessible data is becoming increasing distributed. Understanding and integrating remote and unfamiliar data sources are important dat...
Farid Bourennani, Ken Q. Pu, Ying Zhu
DOLAP
2003
ACM
15 years 5 months ago
Using AutoMed metadata in data warehousing environments
Metadata management is an essential factor in data warehousing. In data warehousing environments, data is transformed and integrated into a single database from multiple autonomou...
Hao Fan, Alexandra Poulovassilis
ICIS
2004
15 years 1 months ago
Reconciling Attribute Values from Multiple Data Sources
Because of the heterogeneous nature of multiple data sources, data integration is often one of the most challenging tasks of today's information systems. While the existing l...
Zhengrui Jiang, Sumit Sarkar, Prabuddha De, Debabr...
AAAI
2012
13 years 2 months ago
Semi-Supervised Kernel Matching for Domain Adaptation
In this paper, we propose a semi-supervised kernel matching method to address domain adaptation problems where the source distribution substantially differs from the target distri...
Min Xiao, Yuhong Guo
PVLDB
2008
130views more  PVLDB 2008»
14 years 11 months ago
Analyzing and revising data integration schemas to improve their matchability
Data integration systems often provide a uniform query interface, called a mediated schema, to a multitude of data sources. To answer user queries, such systems employ a set of se...
Xiaoyong Chai, Mayssam Sayyadian, AnHai Doan, Arno...