Results 11 to 20 of about 23,894,114 (248)
Ciruvis: a web-based tool for rule networks and interaction detection using rule-based classifiers. [PDF]
BMC Bioinformatics, 2014 Background: The use of classification algorithms is becoming increasingly important for the field of computational biology. However, not only the quality of the classification, but also its biological interpretation is important.
Bornelöv S, Marillet S, Komorowski J.
europepmc +4 more sources
Architectures of evolving fuzzy rule-based classifiers [PDF]
, 2007 Prediction of the properties of the crude oil distillation side streams based on statistical methods and laboratory-based analysis has been around for decades. However, there are still many problems with the existing estimators that require a development
Angelov, Plamen +3 more
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Identification of Evolving Rule-based Models. [PDF]
, 2002 An approach to identification of evolving fuzzy rule-based (eR) models is proposed. eR models implement a method for the noniterative update of both the rule-base structure and parameters by incremental unsupervised learning.
Angelov, Plamen, Buswell, Richard
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Robust rule-based prediction [PDF]
, 2006 This paper studies a problem of robust rule-based classification, i.e. making predictions in the presence of missing values in data. This study differs from other missing value handling research in that it does not handle missing values but builds a rule
Li, Jiuyong, Li, J.
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A review of associative classification mining [PDF]
, 2007 Associative classification mining is a promising approach in data mining that utilizes the association rule discovery techniques to construct classification systems, also known as associative classifiers.
Fadi Abdeljaber Thabtah, Thabtah, Fadi
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Evolutionary design of nearest prototype classifiers [PDF]
, 2004 In pattern classification problems, many works have been carried out with the aim of designing good classifiers from different perspectives. These works achieve very good results in many domains.
Isasi, Pedro +2 more
core +1 more source
Utilizing multiple pheromones in an ant-based algorithm for continuous-attribute classification rule discovery. [PDF]
, 2013 The cAnt-Miner algorithm is an Ant Colony Optimization (ACO) based technique for classification rule discovery in problem domains which include continuous attributes. In this paper, we propose several extensions to cAnt- Miner.
Otero, Fernando E.B. +3 more
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Rule pruning and prediction methods for associative classification approach in data mining [PDF]
Recent studies in data mining revealed that Associative Classification (AC) data mining approach builds competitive classification classifiers with reference to accuracy when compared to classic classification approaches including decision tree and rule ...
Abu Mansour, Hussein Y
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Rule number of association rule based classifiers.
, 2015 Rule number of association rule based classifiers.
Li Yao (113027) +2 more
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Accuracy of association rule based classifiers.
, 2015 Accuracy of association rule based classifiers.
Li Yao (113027) +2 more
core +1 more source