Results 1 to 10 of about 23,565 (160)
Comparative Study of Fuzzy Rule-Based Classifiers for Medical Applications [PDF]
Sensors, 2023 The use of machine learning in medical decision support systems can improve diagnostic accuracy and objectivity for clinical experts. In this study, we conducted a comparison of 16 different fuzzy rule-based algorithms applied to 12 medical datasets and ...
Anna Czmil
exaly +4 more sources
NONDETERMINISTIC DECISION RULES [PDF]
Zeszyty Naukowe Wyższej Szkoły Finansów i Prawa w Bielsku-Białej, 2015 In the paper the authors discuss classifiers based on deterministic decision rules and non-deterministic decision rules and prove that non-deterministic decision rules can be used for improving the quality of classification.
Piotr Paszek
doaj +17 more sources
Association Rules-Based Classifier Chains Method [PDF]
IEEE Access, 2022 The order for label learning is very important to the classifier chains method, and improper order can limit learning performance and make the model very random. Therefore, this paper proposes a classifier chains method based on the association rules (ARECC in short).
Jiaman Ding +4 more
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Improving rule-based classification using Harmony Search [PDF]
PeerJ Computer Science, 2019 Classification and associative rule mining are two substantial areas in data mining. Some scientists attempt to integrate these two field called rule-based classifiers.
Hesam Hasanpour +2 more
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International Journal of Computational Intelligence Systems, 2020 Multi-view learning analyzes the information from several perspectives and has largely been applied on semi-supervised contexts. It has not been extensively analyzed for inducing interpretable rule-based classifiers.
Carlos García-Martínez +1 more
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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
doaj +1 more source
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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Optimization and Interpretation of Rule-Based Classifiers [PDF]
, 2000 Machine learning methods are frequently used to create rule-based classifiers. For continuous features linguistic variables used in conditions of the rules are defined by membership functions. These linguistic variables should be optimized at the level of single rules or sets of rules.
Wlodzislaw Duch +3 more
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Improving an Association Rule Based Classifier [PDF]
, 2000 Existing classification algorithms in machine learning mainly use heuristic search to find a subset of regularities in data for classification. In the past few years, extensive research was done in the database community on learning rules using exhaustive search under the name of association rule mining.
Bing Liu 0001 +2 more
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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
openaire +3 more sources