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» Knowledge Mining for the Business Analyst
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SEMWEB
2007
Springer
14 years 1 months ago
Ontology-Based Information Extraction for Business Intelligence
Abstract. Business Intelligence (BI) requires the acquisition and aggregation of key pieces of knowledge from multiple sources in order to provide valuable information to customers...
Horacio Saggion, Adam Funk, Diana Maynard, Kalina ...
EDOC
2009
IEEE
13 years 11 months ago
Monitoring and Analyzing Influential Factors of Business Process Performance
Abstract--Business activity monitoring enables continuous observation of key performance indicators (KPIs). However, if things go wrong, a deeper analysis of process performance be...
Branimir Wetzstein, Philipp Leitner, Florian Rosen...
IDA
1999
Springer
13 years 11 months ago
Knowledge-Based Visualization to Support Spatial Data Mining
Data mining methods are designed for revealing significant relationships and regularities in data collections. Regarding spatially referenced data, analysis by means of data minin...
Gennady L. Andrienko, Natalia V. Andrienko
DAWAK
2007
Springer
13 years 11 months ago
A UML Profile for Representing Business Object States in a Data Warehouse
Data Warehouse (DWH) systems allow to analyze business objects relevant to an enterprise organization (e.g., orders or customers). Analysts are interested in the states of these bu...
Veronika Stefanov, Beate List
UML
1998
Springer
13 years 11 months ago
Literate Modelling - Capturing Business Knowledge with the UML
At British Airways, we have found during several large OO projects documented using the UML that non-technical end-users, managers and business domain experts find it difficult to ...
Jim Arlow, Wolfgang Emmerich, John Quinn