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» Forgetting data intelligently in data warehouses
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RIVF
2007
13 years 6 months ago
Forgetting data intelligently in data warehouses
— The amount of data stored in data warehouses grows very quickly so that they can get saturated. To overcome this problem, we propose a language for specifying forgetting functi...
Aliou Boly, Georges Hébrail
BTW
2009
Springer
173views Database» more  BTW 2009»
13 years 8 months ago
Enhancing Business Intelligence with Unstructured Data
: Quality early warning and proactive customer churn detection are two examples of applications that can benefit from insights gained from unstructured text data. The term “Unstr...
A. Lang, M. Ortiz, St. Abraham
EDOC
2005
IEEE
13 years 10 months ago
Bridging the Gap between Data Warehouses and Business Processes: A Business Intelligence Perspective for Event-Driven Process Ch
Data Warehouse (DWH) information is accessed by business processes, and sometimes may also initiate changes of the control flow of business process instances. Today, there are no ...
Veronika Stefanov, Beate List
IDEAL
2004
Springer
13 years 10 months ago
A Framework for Mining Association Rules in Data Warehouses
The effort of data mining, especially in relation to association rules in real world business applications, is significantly important. Recently, association rules algorithms have ...
Haorianto Cokrowijoyo Tjioe, David Taniar