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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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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An Operational Status Assessment Model for SF6 High-Voltage Circuit Breakers Based on IAR-BTR [PDF]
SensorsWith the rapid advancement of digitalization and intelligence in power systems, SF6 high-voltage circuit breakers, as the core switching devices in power grid protection systems, have become critical components in high-voltage networks of 110 kV and ...
Ningfang Wang +4 more
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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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Building an Associative Classifier Based on Fuzzy Association Rules [PDF]
International Journal of Computational Intelligence Systems, 2008 Classification based on association rules is considered to be effective and advantageous in many cases. However, there is a so-called "sharp boundary" problem in association rules mining with quantitative attribute domains.
Zuoliang Chen, Guoqing Chen
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Inferring gene-gene associations from Quantitative Association Rules [PDF]
2011 11th International Conference on Intelligent Systems Design and Applications, 2011 Junta de Andalucía P07-TIC ...
Martínez Ballesteros, María del Mar +2 more
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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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