Application of Data Mining Methods in the Design and Creation of New Products and Services by A. A. Bryzgalov, E. V. Yaroshenko

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A new numerical method for processing longitudinal data: clinical applications by Ilaria Stura, Emma Perracchione, Giuseppe Migliaretti, Franco Cavallo

“…Background: Processing longitudinal data is a computational issue that arises in many applications, such as in aircraft design, medicine, optimal control and weather forecasting. …”
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Evaluating Machine Unlearning: Applications, Approaches, and Accuracy by Zulfiqar Ali, Asif Muhammad, Rubina Adnan, Tamim Alkhalifah, Sheraz Aslam

“…In this paper, we investigate various MU approaches regarding their accuracy and potential applications. Experiments have shown that the data‐driven approach emerged as the most efficient method in terms of both time and accuracy, achieving a high level of precision with a minimal number of training epochs. …”
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Unlocking the Potential of Browser- Based Scientific Data Analysis: A 20-Year Journey of Expertise by Luc Patiny

“…These applications were made possible through the development of over 100 open-source libraries, extending the FAIR (Findable, Accessible, Interoperable, and Reusable) principles to include not only data but also software. …”
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Perspective on big data system computing technology by Haitao WANG, Rui MAO, Zhong MING

Subjects: “…big data system computing platform;big data common technology;big data application;National Engineering Laboratory…”
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How to Identify If Your Time Series Inputs Are Adequate for AI Applications: Assessing Minimum Data Requirements in Environmental Analyses by Eduart Murcia Botache, Sandra Guzman

“…It provides an overview of the factors that should be considered when employing ML applications with time series (TS) data as input. Written by Eduart Murcia and Sandra M. …”
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How to Identify If Your Time Series Inputs Are Adequate for AI Applications: Assessing Minimum Data Requirements in Environmental Analyses by Eduart Murcia Botache, Sandra Guzman

“…It provides an overview of the factors that should be considered when employing ML applications with time series (TS) data as input. Written by Eduart Murcia and Sandra M. …”
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Data mining–based analysis to explore the application of an animal model of diabetic gastroparesis by Hui Xu, Fu-rui Miao, Yu-jun He, Yu-shan Fan

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LorDist: a novel method for calculating the distance based on functional data analysis with application to longitudinal microbial data by Xinhe Qi, Menghan Zhang, Tongqing Wei, Jinran Lin, Xingming Zhao, Yin Yao, Yueqing Hu, Yan Zheng

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Research on Electrical Equipment Big Data Mobile Laboratory Based on Power Grid Cloud Data Management and Its Application by WU Hao, XU Xiao, PENG Zinan, GUO Ninghui, WANG Qifeng

“…Aiming at the problems of low efficiency, low level of intelligent operation and low level of data informatization application encountered in the current substation equipment test operation, a mobile laboratory platform based on grid cloud data management was developed. …”
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Navigating the data frontier in science assessment: Advancing data augmentation strategies for machine learning applications with generative artificial intelligence by Paul P. Martin, Nicole Graulich

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TSPDB: a curated resource of tailspike proteins with potential applications in phage research by Opeyemi U. Lawal, Lawrence Goodridge

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Identifying Suitability for Data Reduction in Imbalanced Time-Series Datasets by Dominic Sanderson, Tatiana Kalganova

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Use of Data Mining for Intelligent Evaluation of Imputation Methods by David Red, Carlos R. Primorac

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Review and prospect of floating car data research in transportation by Chi Zhang, Yuming Zhou, Min Zhang, Bo Wang, Yuhan Nie

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Research on Big Data Strategy of Telecom Carriers Based on Information Value Chain Theory by Chengyi Tao, Xiaomei Ma

Subjects: “…big data;information value chain;telecom carrier;big data application…”
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Social media applications in biomedical research by Md Sadique Hussain, Devesh Tewari

“…In the realm of research, social media provides extensive opportunities for data collection, analysis, and collaboration, although challenges persist regarding privacy, data accuracy, and ethical considerations. …”
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Application of variance analysis in experimental pharmacology by I. B. Tsorin

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Personalized Prediction of Total Knee Arthroplasty Mechanics Based on Sparse Input Data—Model Validation Using In Vivo Force Data by Sonja Ehreiser, Malte Asseln, Klaus Radermacher

“…While remaining deviations between in vivo and simulation data still warrant investigation and evaluation for clinical significance, the model has already successfully addressed important limitations of these previous models, which represent significant barriers to clinical application.…”
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“ClusterApp”: A Shiny R application to guide cluster studies based on GPS data by Johanna Heeres, Aimee Tallian, Camilla Wikenros, Rick W. Heeres

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