Copula Functions for Spatial Survival Data Analysis by Mohsen Mohammadzadeh, Nasrin Ebrahimi, Giuliana Cortese

“…Identifying and considering the dependence structure of data is essential in survival modeling‎. ‎…”
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Optimisation of Data Management System: Development of Requirements by Zivitere Marga, Almar Nika

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Mastering data complexity beyond traditional computation by Ruedi Stoop

“…Additionally, excess entropies provide a grading of unstable non-chaotic dynamics (for which the classical approaches are not designed to deal with) and set off structured against random data. Their ability to distinguish short- vs. long-range spatiotemporal data coherence, guides toward the improvement of models of spatiotemporally complex processes, in the life sciences and beyond.…”
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Data Clustering Using by Chaotic SSPCO Algorithm by OICC Press Authors

“…Clustering is effective as a technique for discerning the structure of and unraveling the complex relationship between massive amounts of data. …”
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nD-PointCloud Data Management by Haicheng Liu

“…File-based solutions require substantial development of data structures and algorithms. Also, with such solutions, enormous effort has to be made to integrate different data types, formats and libraries. …”
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Hardware and software implementation of data acquisition system by А. П. Самiла

“…To synchronize data acquisition system with the start of the exciting pulse the FPGA configuration structure is developed. …”
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A pricing model for subscriptions in data transactions by Bo Li, Minrui Wu, Zhongcheng Li, Yi Sun

“…With the increasing demands for data, the subscription scheme came into being in the face of pricing for an extensive and unfixed number of data items. …”
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Be-dataHIVE: a base editing database by Lucas Schneider, Peter Minary

“…Furthermore, multiple different data structures for machine learning were computed and are directly available. …”
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Big data in visual field testing for glaucoma by Alex T. Pham, Annabelle A. Pan, Jithin Yohannan

“…The expanding accessibility of large VF databases has led to a surge in studies investigating various applications of big data analytics in glaucoma. In this study, we review the use of big data for evaluating the reliability of VF tests, gaining insights into real-world clinical practices and outcomes, understanding new disease associations and risk factors, characterizing the patterns of VF loss, defining the structure–function relationship of glaucoma, enhancing early diagnosis or earlier detection of progression, informing clinical decisions, and improving clinical trials. …”
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An Exploration of Big Data Practices in Retail Sector by Emel Aktas, Yuwei Meng

“…Our semi-structured interviews with retailers and academics suggest that historical sales data and loyalty schemes can be used to obtain customer insights for operational planning, but granular sales data can also benefit availability and assortment decisions. …”
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Functional Data of Virtual Graphics in Graphic Design by Ameer Riyadh Khaleel, Sahar Ali Sarhan

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Using Big Data Technology to Protect the Environment by Dovgal Vitaly, Kuizheva S.

“…The concept of "big data" means a huge amount of information, the size of which is too large, or it is created too quickly or has a structuring that does not allow it to be processed using traditional data management systems. …”
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Hierarchical Data Visualization Based on Rectangular Cartograms by Lina Wang, Haoxun Yuan, Xiang Li, Yaru Li, Danfei Zhang, Haoqi Hu

“…First, a new rectangular cartograms construction algorithm is adopted in this paper, which can effectively preserve relatively accurate orientation and adjacency relationships between geographic regions, while also effectively preserving the statistical data features. Then, a treemap layout algorithm is applied within the rectangular cartogram to further partition the geographic regions, thereby visualizing the hierarchical structure of the data. …”
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On inference of boxplot symbolic data: applications in climatology by A. Sadeghkhani, A. Sadeghkhani

“…The proposed techniques provide robust tools for analyzing complex data structures, offering valuable insights into climatic trends and variations. …”
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The Standardized Data Management Plan for Educational Research by Sebastian Netscher, Harald Kaluza, Reiner Mauer, Kati Mozygemba, Karsten Stephan

“… Although there is an increasing number of tools and support opportunities, research data management is still challenging. Conventional templates of data management plans (DMP) guide users, but hardly support them in implementing and realizing data management. …”
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Equitable Data Governance Models for the Participatory Sciences by Caren Cooper, Vincent Martin, Omega Wilson, Lisa Rasmussen

“…To avoid extractive practices and related harms, projects can adopt structures so that those who make decisions about the data set and/or each datum are different from those responsible for executing the subsequent decisions about data management. …”
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Correlation Measures in Metagenomic Data: The Blessing of Dimensionality by Alessandro Fuschi, Alessandra Merlotti, Thi Dong Binh Tran, Hoan Nguyen, George M. Weinstock, Daniel Remondini

“…In the study of bacterial abundances, it is becoming more relevant to consider their relationship, to embed these data in the framework of network theory, allowing characterization of features like node relevance, pathways, and community structure. …”
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Big Data for Veterinary Sciences: Instructions for Use by Oscar TAMBURIS

“…In the context of pet care, the use of electronic medical records (EMRs) combined ML models facilitates early disease detection, improves diagnostics, and enables personalized treatment strategies. By harnessing structured data, veterinary professionals can refine medical protocols, leading to better patient outcomes. …”
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The problem of personal data protection in the era of digitalization by Victoria M. Piskaikina, Anton G. Monetov

“…The structure of the organization of personal data is studied, as well as the categories of personal information subject to special protection are determined based on the study of judicial practice. …”
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The Italian Archive of Historical Earthquake Data, ASMI by A. Rovida, M. Locati, A. Antonucci, R. Camassi

“…<p>ASMI, the Italian Archive of Historical Earthquake Data (<a href="https://doi.org/10.13127/asmi">https://doi.org/10.13127/asmi</a>, Rovida et al., 2017), is a data collection distributed online that currently provides seismological data on more than 6600 earthquakes that have occurred in the Italian peninsula and surrounding areas from 461 BCE to the present, based on more than 460 seismological data sources. …”
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