Results 11 to 20 of about 1,316,446 (197)
Improving rule-based classification using Harmony Search. [PDF]
PeerJ Comput Sci, 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. Rule-based classifiers can play a very important role in applications such as fraud detection, medical diagnosis, and etc.
Hasanpour H +2 more
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Rule Based Classification of Tamil Poems [PDF]
International Journal of Information and Education Technology, 2012 K. V. Madhavan +2 more
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Clinical malaria diagnosis: rule-based classification statistical prototype. [PDF]
Springerplus, 2016 In this study, we identified predictors of malaria, developed data mining, statistically enhanced rule-based classification to diagnose malaria and developed an automated system to incorporate the rules and statistical models. The aim of the study was to develop a statistical prototype to perform clinical diagnosis of malaria given its adverse effects ...
Bbosa F, Wesonga R, Jehopio P.
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Analogical versus rule-based classification [PDF]
Memory & Cognition, 1995 Sensitivity to feature co-occurrences was investigated as a function of analytic and analogical transfer. Participants memorized descriptions of hypothetical people and were then induced either to make transfer decisions by analogy to the descriptions (analogical transfer) or to search for and apply rules (analytic transfer).
Wattenmaker, William D. +2 more
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Intelligent rule‐based phishing websites classification [PDF]
IET Information Security, 2014 Phishing is described as the art of echoing a website of a creditable firm intending to grab user's private information such as usernames, passwords and social security number. Phishing websites comprise a variety of cues within its content‐parts as well as the browser‐based security indicators provided along with the website.
Mohammad, Rami +2 more
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Conformal Rule-Based Multi-label Classification [PDF]
, 2020 We advocate the use of conformal prediction (CP) to enhance rule-based multi-label classification (MLC). In particular, we highlight the mutual benefit of CP and rule learning: Rules have the ability to provide natural (non-)conformity scores, which are required by CP, while CP suggests a way to calibrate the assessment of candidate rules, thereby ...
Hüllermeier, Eyke +2 more
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Rule-Based Fuzzy Classification Using Query Processing [PDF]
Mathematical and Computational Applications, 2003 This paper describes the derivation of fuzzy classification rules based on c-means fuzzy clustering algorithm as results that are induced of fuzzy clusters. Each fuzzy cluster is associated with a fuzzy classification rule in which fuzzy sets are obtained by projecting the cluster to one-dimensional domains.
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Analogical Classification: A Rule-Based View [PDF]
, 2014 Analogical proportion-based classification methods have been introduced a few years ago. They look in the training set for suitable triples of examples that are in an analogical proportion with the item to be classified, on a maximal set of attributes. This can be viewed as a lazy classification technique since, like k-nn algorithms, there is no static
Bounhas, Myriam +2 more
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Data Adaptive Rule-based Classification System for Alzheimer Classification [PDF]
Journal of Computer Science & Systems Biology, 2013 Microarrays have already produced huge amounts of valuable genetic data that is challenging to analyse due to its high dimensionality and complexity. An inherent problem with the microarray data which is characteristic of diseases such as Alzheimer’s is that they face computational complexity due to the sparseness of the points within the data, which ...
Mohit Jain, Prerna Dua
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Optimising Rule-Based Classification in Temporal Data
, 2016 ZANCO Journal of Pure and Applied Sciences, 28 (2), pp.
Fattah, Polla +2 more
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