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» Process Knowledge and Data Quality Outcomes
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VISSYM
2007
13 years 10 months ago
See What You Know: Analyzing Data Distribution to Improve Density Map Visualization
Density maps allow for visually rendering density differences, usually mapping density values to a grey or color scale. The paper analyzes the drawbacks arising from the commonly ...
Enrico Bertini, Alessio Di Girolamo, Giuseppe Sant...
DKE
2007
130views more  DKE 2007»
13 years 7 months ago
Enabling access-privacy for random walk based data analysis applications
Random walk graph and Markov chain based models are used heavily in many data and system analysis domains, including web, bioinformatics, and queuing. These models enable the desc...
Ping Lin, K. Selçuk Candan
INFSOF
2007
145views more  INFSOF 2007»
13 years 7 months ago
Metrics for data warehouse conceptual models understandability
Due to the principal role of Data warehouses (DW) in making strategy decisions, data warehouse quality is crucial for organizations. Therefore, we should use methods, models, tech...
Manuel A. Serrano, Juan Trujillo, Coral Calero, Ma...
COMPSAC
2010
IEEE
13 years 5 months ago
Team Factors and Failure Processing Efficiency: An Exploratory Study of Closed and Open Source Software Development
Researchers in the field of software engineering economics have associated team factors, such as team size and team experience, with productivity and quality. Since distributed and...
Michael Grottke, Lars M. Karg, Arne Beckhaus
DSS
2007
120views more  DSS 2007»
13 years 7 months ago
Could the use of a knowledge-based system lead to implicit learning?
The primary objective of a knowledge-based system (KBS) is to use stored knowledge to provide support for decision-making activities. Empirical studies identify improvements in de...
Solomon R. Antony, Radhika Santhanam