Results 1 to 10 of about 24,177,180 (174)
The index lift in data mining has a close relationship with the association measure relative risk in epidemiological studies [PDF]
BMC Medical Informatics and Decision Making, 2019 Background Data mining tools have been increasingly used in health research, with the promise of accelerating discoveries. Lift is a standard association metric in the data mining community. However, health researchers struggle with the interpretation of
Khanh Vu +6 more
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Design Exploration of High-Lift Airfoil Using Kriging Model and Data Mining Technique [PDF]
International Journal of Aeronautical and Space Sciences, 2007 A multi-objective design exploration for a three-element airfoil consisted of a slat, a main wing, and a flap was carried out. The lift curve improvement is important to design high-lift system, thus design has to be performed with considered multi-angle.
Masahiro Kanazaki +2 more
exaly +2 more sources
A New Many-Objective Optimization Approach to Association Rule Mining: The NSGA-II/DE-ARM Algorithm [PDF]
BiomimeticsAssociation rule mining is a fundamental data mining technique for uncovering latent relationships among variables in large-scale datasets. However, conventional approaches rely on single-metric filtering strategies, which are insufficient for capturing ...
Zulfukar Aytac Kisman +3 more
doaj +2 more sources
Rule-ranking method based on item utility in adaptive rule model [PDF]
PeerJ Computer Science, 2022 Background Decision-making is an important part of most human activities regardless of their daily activities, profession, or political inclination. Some decisions are relatively simple specifically when the consequences are insignificant while others ...
Erna Hikmawati +2 more
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Discovering associations between radiological features and COVID‐19 patients' deterioration
Health Science Reports, 2023 Background and Aims Data mining methods are effective and well‐known tools for developing predictive models and extracting useful information from various data of patients.
Nasrin Ahmadinejad +7 more
doaj +1 more source
A Novel Mapreduce Lift Association Rule Mining Algorithm (Mrlar) for Big Data [PDF]
International Journal of Advanced Computer Science and Applications, 2016 Big Data mining is an analytic process used to discover the hidden knowledge and patterns from a massive, complex, and multi-dimensional dataset.Single-processor's memory and CPU resources are very limited, which makes the algorithm performance ineffective.Recently, there has been renewed interest in using association rule mining (ARM) in Big Data to ...
Eiman Satti Nour +4 more
openaire +2 more sources
Defect Data Association Analysis of the Secondary System Based on AFWA-H-Mine
Energies, 2021 The fault data of the secondary system of smart substations hide some information that the association analysis algorithm can mine. The convergence speed of the Apriori algorithm and FP-growth algorithm is slow, and there is a lack of indicators to ...
Yan Xu, Mingyu Wang, Wen Fan
doaj +1 more source
Application of Association Rules Analysis in Mining Adverse Drug Reaction Signals
Applied Sciences, 2021 Adverse drug reactions (ADRs) are increasingly becoming a serious public health problem. Spontaneous reporting systems (SRSs) are an important way for many countries to monitor ADRs produced in the clinical use of drugs, and they are the main data source
Jianxiang Wei +5 more
doaj +1 more source
Komparasi Algoritma Pincer Search dan Algoritma FP-Growth
Techno.Com, 2022 Jumlah pembelian barang setiap harinya berbeda-beda karena itu permasalahan kekurangan stock barang dapat terjadi dan mengakibatkan ketidakpuasan pelanggan dalam berbelanja karena tidak tersedianya produk yang diinginkan.
Putu Ratih Wulandari +2 more
doaj +1 more source
Algorithms, 2022 Analysis of high-dimensional data, with more features (p) than observations (N) (p>N), places significant demand in cost and memory computational usage attributes. Feature selection can be used to reduce the dimensionality of the data.
Consolata Gakii +2 more
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