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KDD
1997
ACM
243views Data Mining» more  KDD 1997»
13 years 8 months ago
Development of Multi-Criteria Metrics for Evaluation of Data Mining Algorithms
Gholamreza Nakhaeizadeh, Alexander Schnabl
ICALT
2010
IEEE
13 years 3 months ago
Course Ranking and Automated Suggestions through Web Mining
—This paper introduces new metrics for course evaluation. It is also proposes a ranking algorithm that classifies courses based on the previous course evaluation metrics and sugg...
Stavros Valsamidis, Ioannis Kazanidis, Sotirios Ko...
INCDM
2010
Springer
172views Data Mining» more  INCDM 2010»
13 years 3 months ago
Evaluating the Quality of Clustering Algorithms Using Cluster Path Lengths
Many real world systems can be modeled as networks or graphs. Clustering algorithms that help us to organize and understand these networks are usually referred to as, graph based c...
Faraz Zaidi, Daniel Archambault, Guy Melanç...
KDD
1998
ACM
84views Data Mining» more  KDD 1998»
13 years 9 months ago
Towards the Personalization of Algorithms Evaluation in Data Mining
Like model selectionin statistics,the choiceof appropriate Data Mining Algorithms (DM-Algorithms) is a very importanttask in the processof KnowledgeDiscovery.Due to this fact it i...
Gholamreza Nakhaeizadeh, Alexander Schnabl
AUSAI
2004
Springer
13 years 10 months ago
A Bayesian Metric for Evaluating Machine Learning Algorithms
How to assess the performance of machine learning algorithms is a problem of increasing interest and urgency as the data mining application of myriad algorithms grows. The standard...
Lucas R. Hope, Kevin B. Korb