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» Reconciling Attribute Values from Multiple Data Sources
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SDM
2009
SIAM
225views Data Mining» more  SDM 2009»
15 years 6 months ago
Integrated KL (K-means - Laplacian) Clustering: A New Clustering Approach by Combining Attribute Data and Pairwise Relations.
Most datasets in real applications come in from multiple sources. As a result, we often have attributes information about data objects and various pairwise relations (similarity) ...
Fei Wang, Chris H. Q. Ding, Tao Li
SIGMOD
2003
ACM
150views Database» more  SIGMOD 2003»
15 years 9 months ago
Capturing both Types and Constraints in Data Integration
We propose a framework for integrating data from multiple relational sources into an XML document that both conforms to a given DTD and satisfies predefined XML constraints. The f...
Michael Benedikt, Chee Yong Chan, Wenfei Fan, Juli...
75
Voted
PVLDB
2010
82views more  PVLDB 2010»
14 years 8 months ago
Record Linkage with Uniqueness Constraints and Erroneous Values
Many data-management applications require integrating data from a variety of sources, where different sources may refer to the same real-world entity in different ways and some ma...
Songtao Guo, Xin Dong, Divesh Srivastava, Remi Zaj...
124
Voted
CVPR
2012
IEEE
12 years 12 months ago
Multi-attribute spaces: Calibration for attribute fusion and similarity search
Recent work has shown that visual attributes are a powerful approach for applications such as recognition, image description and retrieval. However, fusing multiple attribute scor...
Walter J. Scheirer, Neeraj Kumar, Peter N. Belhume...
78
Voted
DEXA
2000
Springer
147views Database» more  DEXA 2000»
15 years 1 months ago
Lattice-Structured Domains, Imperfect Data and Inductive Queries
The relational model, as proposed by Codd, contained the concept of relations as tables composed of tuples of single valued attributes taken from a domain. In most of the early lit...
Sally Rice, John F. Roddick