Precision and recall

Known as: Precision recall, Recall and precision, Recall 
In pattern recognition and information retrieval with binary classification, precision (also called positive predictive value) is the fraction of… (More)
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Topic mentions per year

Topic mentions per year

1935-2018
02000400019352017

Papers overview

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Highly Cited
2011
Highly Cited
2011
Harvesting relational facts from Web sources has received great attention for automatically constructing large knowledge bases… (More)
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2009
2009
The systematic evaluation of ontology alignments still faces a number of problems. One is the argued inadequacy of traditional… (More)
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Highly Cited
2008
Highly Cited
2008
Commonly used evaluation measures including Recall, Precision, F-Factor and Rand Accuracy are biased and should not be used… (More)
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Highly Cited
2007
Highly Cited
2007
In order to evaluate ontology matching algorithms it is necessary to confront them with test ontologies and to compare the… (More)
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Highly Cited
2007
Highly Cited
2007
Given a query image of an object, our objective is to retrieve all instances of that object in a large (1M+) image database. We… (More)
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Highly Cited
2006
Highly Cited
2006
Receiver Operator Characteristic (ROC) curves are commonly used to present results for binary decision problems in machine… (More)
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Highly Cited
2005
Highly Cited
2005
We address the problems of 1/ assessing the confidence of the standard point estimates, precision, recall and F -score, and 2… (More)
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Review
2002
Review
2002
The ability to rapidly locate useful on-line services (e.g. software applications, software components, process models, or… (More)
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Highly Cited
1996
Highly Cited
1996
Previous research on stemming has shown both positive and negative effects on retrieval performance. This paper describes an… (More)
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Highly Cited
1989
Highly Cited
1989
Recall and precision are often used to evaluate the effectiveness of information retrieval systems. They are easy to define if… (More)
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