IEEE Access, 2020 Identifying geochemical patterns from backgrounds and generating associated mineralization remains challenging due to the complex structure of mineral deposits.
Yasmina Medjadba +3 more
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Selecting the best measures to discover quantitative association rules [PDF]
Neurocomputing, 2014 Ministerio de Ciencia y Tecnología TIN2011-28956 ...
M Martinez-Ballesteros +2 more
exaly +4 more sources
Exploration of association rule mining between lost-linking features and modes of loan customers using the FP-growth algorithm for risk warning strategies. [PDF]
PLoS ONEIn the new model of China's dual-circulation economy, the opening-up and deepening of financial markets have imposed higher requirements on the risk management capacity of financial institutions, with the issue of loan customers losing contact and ...
Jiaqi Wang +4 more
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Fuzzy Inference Algorithm based on Quantitative Association Rules
Procedia Computer Science, 2015 AbstractIn order to develop a data mining system to extract the fuzzy inference rules from the data, in this paper a fuzzy inference algorithm based on quantitative association rule (FI-QAR) is proposed. First, a discretization algorithm based on an improved clustering for each dimension data is adopted, and then the quantitative results are ...
Ling Wang
exaly +2 more sources
A Pathophysiology-Oriented Imaging Phenotype Framework for Nonobstructive Coronary Artery Disease [PDF]
Journal of Cardiovascular Development and DiseaseNonobstructive coronary artery disease (NOCAD) is increasingly recognized as a heterogeneous condition characterized by diverse pathophysiological mechanisms despite the absence of flow-limiting stenosis.
Hongqun Du +6 more
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Data Mining-Based Analysis of Acupoint Selection Patterns in Acupuncture Treatment for Lumbar Disc Herniation [PDF]
Journal of Pain ResearchZehao Zheng,1,* Juanjuan Feng,1,* Yang Li,1 Xiaonan Li,2 Chenyang Su,2 Peng Bai3 1Department of Acupuncture and Moxibustion, The Third Affiliated Hospital, Beijing University of Chinese Medicine, Beijing, 100029, People’s Republic of ...
Zheng Z, Feng J, Li Y, Li X, Su C, Bai P
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Numerical Association Rule Mining from a Defined Schema Using the VMO Algorithm
Applied Sciences, 2021 Association rule mining has been studied from various perspectives, all of which have made valuable contributions to data science. However, there are promising research lines, such as the inclusion of continuous variables and the combination of numerical
Iván Fredy Jaramillo +2 more
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Recommendation with quantitative implication rules [PDF]
EAI Endorsed Transactions on Context-aware Systems and Applications, 2019 Association rules based recommendation is one of approaches to develop recommendation systems. However, such systems just focus on binary dataset, whereas many datasets are in the quantitative form. There are many solutions proposed for this problem such
Hoang Nguyen +3 more
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Optimizing Membership Functions using Learning Automata for Fuzzy Association Rule Mining [PDF]
Journal of Artificial Intelligence and Data Mining, 2020 The Transactions in web data often consist of quantitative data, suggesting that fuzzy set theory can be used to represent such data. The time spent by users on each web page is one type of web data, was regarded as a trapezoidal membership function (TMF)
Z. Anari +3 more
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Mining of Positive and Negative Quantitative Association Rules Based on Multi-objective Firework Optimization Algorithm [PDF]
Jisuanji gongcheng, 2017 To obtain positive and negative quantitative association rules simultaneously and reduce the impact of human intervention as far as possible,a mining algorithm of positive and negative quantitative association rules based on multi-objective firework ...
WU Qiong,ZENG Qingpeng
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