Current evidence indicates that poor data quality is pervasive and has a significant negative impact on business success. Information-system (IS) professionals are typically charg...
This paper introduces Clustera, an integrated computation and data management system. In contrast to traditional clustermanagement systems that target specific types of workloads,...
David J. DeWitt, Erik Paulson, Eric Robinson, Jeff...
Abstract: Spatial data mining algorithms heavily depend on the efficient processing of neighborhood relations since the neighbors of many objects have to be investigated in a singl...
Martin Ester, Stefan Grundlach, Hans-Peter Kriegel...
XML is by now the de facto standard for exporting and exchanging data on the web. The need for querying XML data sources whose structure is not fully known to the user and the need...
Data mining is a useful decision support technique that can be used to discover production rules in warehouses or corporate data. Data mining research has made much effort to appl...