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» Extensible Grouping and Aggregation for Data Reconciliation
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EFDBS
2001
13 years 6 months ago
Extensible Grouping and Aggregation for Data Reconciliation
New applications from the areas of analytical data processing and data integration require powerful features to condense and reconcile available data. Object-relational and other d...
Eike Schallehn, Kai-Uwe Sattler, Gunter Saake
GROUP
2003
ACM
13 years 10 months ago
Using the transformational approach to build a safe and generic data synchronizer
Reconciliating divergent data is an important issue in concurrent engineering, mobile computing and software configuration management. Currently, a lot of synchronizers or merge ...
Pascal Molli, Gérald Oster, Hala Skaf-Molli...
CIKM
2001
Springer
13 years 9 months ago
Advanced Grouping and Aggregation for Data Integration
New applications from the areas of analytical data processing and data integration require powerful features to condense and reconcile available data. As outlined in [1], the gene...
Eike Schallehn, Kai-Uwe Sattler, Gunter Saake
EDBT
2009
ACM
81views Database» more  EDBT 2009»
13 years 9 months ago
Exploiting similarity-aware grouping in decision support systems
Decision Support Systems (DSS) are information systems that support decision making processes. In many scenarios these systems are built on top of data managed by DBMSs and make e...
Yasin N. Silva, Muhammad U. Arshad, Walid G. Aref
DKE
2008
79views more  DKE 2008»
13 years 4 months ago
Extracting k most important groups from data efficiently
We study an important data analysis operator, which extracts the k most important groups from data (i.e., the k groups with the highest aggregate values). In a data warehousing co...
Man Lung Yiu, Nikos Mamoulis, Vagelis Hristidis