Results 21 to 30 of about 1,263 (173)
Prediction of customer behaviour through datamining assets
Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, 2009 Business managers accounting for commercial success or non-success of the organization have to gain knowledge needful for correct decision acceptance. These knowledge represent sophisticated information hidden in enterprise data.
Naděžda Chalupová
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Physical Therapy Korea, 2021 Background: Only 2% of falls in older adults result in serious injuries (i.e., hip fracture). Therefore, it is important to differentiate injurious versus non-injurious falls, which is critical to develop effective interventions for injury prevention.
Kitaek Lim, Woochol Joseph Choi
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Hiding Sensitive Association Rules over Privacy Preserving Distributed Data Mining [PDF]
Kirkuk Journal of Science, 2014 The problem of Privacy Preserving Data Mining (PPDM) has become more important in recent years because of the increasing ability to store personal data about users, and the increasing sophistication of data mining algorithms.
Alaa Khalil Jumaa +2 more
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Implementation of K-Nearest Neighbor Algorithm for Customer Satisfaction
Buana Information Technology and Computer Sciences, 2020 Customer satisfaction is one of the goals of the company in providing services to its customers both service and non-service companies. One of the camera rental service provider companies that are committed to customer satisfaction is Cikarang Camera ...
Sutan Faisal Sutan Faisal +1 more
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Data, 2021 The data presented in this article comprise an educational dataset collected from the student information system (SIS), the learning management system (LMS) called Moodle, and video interactions from the mobile application called “eDify.” The dataset ...
Raza Hasan +4 more
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, 2021 Databases are by far the most valuable asset of companies. Since the need was seen not only to count but also to have some type of record of elements such as crops, animals, money, properties and that this record could be consulted and modified according to the situation, that is where the first database was born.
John N. Bernal +2 more
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Datamining and Its Applications
Journal of Artificial Intelligence and Technology, 2022 Artificial intelligence and machine learning are widely applied in all domain applications today, including noncontact vital sign monitoring, data mining and denoising, data analysis, and application as traffic simulation and green finance. We briefly introduce the noncontact vital sign monitoring using video data and the solutions
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Salivary and pellicle proteome: A datamining analysis [PDF]
Scientific Reports, 2016 AbstractWe aimed to comprehensively compare two compartmented oral proteomes, the salivary and the dental pellicle proteome. Systematic review and datamining was used to obtain the physico-chemical, structural, functional and interactional properties of 1,515 salivary and 60 identified pellicle proteins.
Hardy Schweigel +2 more
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Journal of Management Studies, EarlyView.Abstract Cultural entrepreneurship research emphasizes entrepreneurs’ use of cultural resources to influence audience evaluations through resonance. However, the process by which such cultural resonance is achieved remains underexplored, particularly as an intermediary outcome.
Xiumei Li +3 more
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“DATAMINING” DOS GENES DA CELULOSE SINTASE RELACIONADOS COM ESTs DE Eucalyptus spp.
Revista do Instituto Florestal, 2008 Trata-se de um estudo sobre “datamining” envolvendo genes ligados ao crescimento de controle não hormonal, utilizando o banco de dados de ESTs de eucalipto, efetuado através do Projeto Genoma do Eucalipto (FORESTs) comparados ao nível de aminoácidos ...
Léo Zimback +9 more
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