Results 21 to 30 of about 66,699 (304)
Spammer detection using multi-classifier information fusion based on evidential reasoning rule
Scientific Reports, 2022 Spammer detection is essentially a process of judging the authenticity of users, and thus can be regarded as a classification problem. In order to improve the classification performance, multi-classifier information fusion is usually used to realize the ...
Shuaitong Liu +5 more
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Ants Constructing Rule-Based Classifiers [PDF]
, 2006 Swarm Intelligence is an innovative distributed intelligent paradigm for solving optimization problems that originally took its inspiration from the biological examples by swarming, flocking and herding phenomena in vertebrates. Data Mining is an analytic process designed to explore large amounts of data in search of consistent patterns and/or ...
Martens, David +4 more
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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
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Architectures for evolving fuzzy rule-based classifiers [PDF]
2007 IEEE International Conference on Systems, Man and Cybernetics, 2007 In this paper the recently introduced evolving fuzzy classifier method called eClass is studied in respect to its architecture and evolution of the fuzzy rule-base. The proposed classifier has an open/evolving structure and can start 'from scratch', learning and adapting to the new data samples. Alternatively, if an initial fuzzy rule-based classifier,
Plamen Angelov 0001 +3 more
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New Associative Classification Method Based on Rule Pruning for Classification of Datasets
IEEE Access, 2019 In data mining, a rule-based classification approach called Associative Classification (AC) normally builds accurate classifiers from supervised learning data sets. It extracts “If-Then” rules and associates each of the generated rules with
Khairan D. Rajab
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Intelligent Recognition of Lung Nodule Combining Rule-based and C-SVM Classifiers [PDF]
International Journal of Computational Intelligence Systems, 2011 Computer-aided detection(CAD) system for lung nodules plays the important role in the diagnosis of lung cancer. In this paper, an improved intelligent recognition method of lung nodule in HRCT combing rule-based and costsensitive support vector machine(C-
Bin Li +5 more
doaj +1 more source
Bootstrapping polarity classifiers with rule-based classification [PDF]
Language Resources and Evaluation, 2013 In this article, we examine the effectiveness of bootstrapping supervised machine-learning polarity classifiers with the help of a domain-independent rule-based classifier that relies on a lexical resource, i.e., a polarity lexicon and a set of linguistic rules.
Wiegand, Michael +2 more
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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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Intelligent Recognition of Lung Nodule Combining Rule-based and C-SVM Classifiers [PDF]
International Journal of Computational Intelligence Systems, 2012 Computer-aided detection(CAD) system for lung nodules plays the important role in the diagnosis of lung cancer. In this paper, an improved intelligent recognition method of lung nodule in HRCT combing rule-based and cost-sensitive support vector machine ...
Bin Li +5 more
doaj +1 more source
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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