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KDD
2006
ACM
213views Data Mining» more  KDD 2006»
14 years 9 months ago
Learning sparse metrics via linear programming
Calculation of object similarity, for example through a distance function, is a common part of data mining and machine learning algorithms. This calculation is crucial for efficie...
Glenn Fung, Rómer Rosales
DSN
2008
IEEE
14 years 3 months ago
An integrated approach to resource pool management: Policies, efficiency and quality metrics
: The consolidation of multiple servers and their workloads aims to minimize the number of servers needed thereby enabling the efficient use of server and power resources. At the s...
Daniel Gmach, Jerry Rolia, Ludmila Cherkasova, Gui...
ECIR
2008
Springer
13 years 10 months ago
Discounted Cumulated Gain Based Evaluation of Multiple-Query IR Sessions
IR research has a strong tradition of laboratory evaluation of systems. Such research is based on test collections, pre-defined test topics, and standard evaluation metrics. While ...
Kalervo Järvelin, Susan L. Price, Lois M. L. ...
WWW
2003
ACM
14 years 9 months ago
Techniques and Metrics for Improving Website Structure
In this work two distinct metrics are proposed, which aim to quantify the importance of a web page based on the visits it receives by the users and its location within the website...
Eleni Christopoulou, John D. Garofalakis, Christos...
PROCEDIA
2010
115views more  PROCEDIA 2010»
13 years 3 months ago
Exploring ontology metrics in the biomedical domain
Ontologies are gaining popularity in many domains as a way of representing, dealing and reasoning with large volumes of information, and they are starting to play a major role in ...
N. Manouselis, Miguel-Ángel Sicilia, Daniel...