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HICSS
2000
IEEE
121views Biometrics» more  HICSS 2000»
15 years 11 months ago
Combining Data from Existing Company Data Sources: Architecture and Experiences
Combining and utilizing data from different sources is a common problem in many companies today. Useful data can be found in various applications, such as spreadsheets, project ma...
Jari Vanhanen, Kai Risku, Pekka Kilponen
KDD
2002
ACM
138views Data Mining» more  KDD 2002»
16 years 7 months ago
Learning to match and cluster large high-dimensional data sets for data integration
Part of the process of data integration is determining which sets of identifiers refer to the same real-world entities. In integrating databases found on the Web or obtained by us...
William W. Cohen, Jacob Richman
ENTCS
2006
133views more  ENTCS 2006»
15 years 6 months ago
A Data Model for Data Integration
Data integration systems provide a uniform query interface (UQI) to multiple, autonomous data sources [4]. This paper presents the universal data model (UDM) that captures the sem...
James J. Lu
SSDBM
2003
IEEE
160views Database» more  SSDBM 2003»
15 years 11 months ago
The Virtual Data Grid: A New Model and Architecture for Data-Intensive Collaboration
It is now common to encounter communities engaged in the collaborative analysis and transformation of large quantities of data over extended time periods. We argue that these comm...
Ian T. Foster
EDM
2010
142views Data Mining» more  EDM 2010»
15 years 8 months ago
A Data Model to Ease Analysis and Mining of Educational Data
Learning software is not designed for data analysis and mining. Because usage data is not stored in a systematic way, its thorough analysis requires long and tedious preprocessing....
André Krüger, Agathe Merceron, Benjami...