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141
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EDBT
2009
ACM
218views Database» more  EDBT 2009»
15 years 10 months ago
Data integration flows for business intelligence
Business Intelligence (BI) refers to technologies, tools, and practices for collecting, integrating, analyzing, and presenting large volumes of information to enable better decisi...
Umeshwar Dayal, Malú Castellanos, Alkis Sim...
134
Voted
ACSAC
2008
IEEE
15 years 10 months ago
OMOS: A Framework for Secure Communication in Mashup Applications
Mashups are new Web 2.0 applications that seamlessly combine contents from multiple heterogeneous data sources into one integrated browser environment. The hallmark of these appli...
Saman Zarandioon, Danfeng Yao, Vinod Ganapathy
125
Voted
TKDE
2011
363views more  TKDE 2011»
14 years 10 months ago
Efficient Techniques for Online Record Linkage
—The need to consolidate the information contained in heterogeneous data sources has been widely documented in recent years. In order to accomplish this goal, an organization mus...
Debabrata Dey, Vijay S. Mookerjee, Dengpan Liu
148
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ESANN
2000
15 years 5 months ago
Distributed clustering and local regression for knowledge discovery in multiple spatial databases
Many large -scale spatial data analysis problems involve an investigation of relationships in heterogeneous databases. In such situations, instead of making predictions uniformly a...
Aleksandar Lazarevic, Dragoljub Pokrajac, Zoran Ob...
127
Voted
EDBTW
2004
Springer
15 years 9 months ago
Clustering Structured Web Sources: A Schema-Based, Model-Differentiation Approach
Abstract. The Web has been rapidly “deepened” with the prevalence of databases online. On this “deep Web,” numerous sources are structured, providing schema-rich data– Th...
Bin He, Tao Tao, Kevin Chen-Chuan Chang