THE ROLE OF VISUAL ANALYTICS IN DATA MANAGEMENT by A. Orlova, A. Sorokin

“…Today, there is a noticeable trend in social business intelligence that uses modern platforms for data analysis. Revealed, unstructured information can be processed through business intelligence technologies, which will lead to the formation of management decisions with the aim of either adjusting the existing development strategy of the organization, or making a decision to reengineer the organization's business processes.…”
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Big data technologies in e-learning by Gyulara A. Mamedova, Lala A. Zeynalova, Rena T. Melikova

“…In this environment, there are a large number of different types of data, both structured and unstructured. Data processing is difficult to implement by traditional statistical methods. …”
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Improving The Performance of Big Data Databases by Nzar Abdulqadir Ali, Dashne Raouf Arif

“…A relational database management system (RDBMS) stores data in a structured format using rows and columns. …”
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Data citation: what, when, why? by Thomas Lemberger

“…Abstract EMBO Press has implemented a structured Data Availability Section as well as formal data citations in research articles at all its journals. …”
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Research on Big Data Application for Security by Deli Yang, Tao Zhang

“…Several data sources of big data on security were described，a closer look was taken at the implementation of big data platform on security，the main points and steps during the implementation were also proposed.Specially，detail analysis on the overall architecture and system structure of the big data platform on security were provided，the relationship with the existing video surveillance platform was also described.The implementation of big data platform on security must be promoted on the scale of data characteristics and algorithm maturity.…”
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Big Data Driving Economic Transformation by Wenjian Liu, Sude Qing

“…Big data are widely woven into every sector and play an important role in the global economy as an essential factor of production.Big data can be brought together and analyzed to discern patterns,make better decisions so as to reduce production cost and increase the quality of products and services.A concise and comprehensive description that big data would have a significant influence on the structure of traditional industry including agriculture,industry and services,was given.Obviously,the big data industry is currently becoming a new economic growth point,promoting economic transformation and upgrading.…”
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Big Data Driving Economic Transformation by Wenjian Liu, Sude Qing

“…Big data are widely woven into every sector and play an important role in the global economy as an essential factor of production.Big data can be brought together and analyzed to discern patterns,make better decisions so as to reduce production cost and increase the quality of products and services.A concise and comprehensive description that big data would have a significant influence on the structure of traditional industry including agriculture,industry and services,was given.Obviously,the big data industry is currently becoming a new economic growth point,promoting economic transformation and upgrading.…”
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METHOD OF CONSTRUCTION OF GENETIC DATA CLUSTERS by N. A. Novoselova, I. E. Tom

“…In a comparative experiment with the analogs the proposed method shows the advantage in allocating statistically significant different-sized clusters, the ability to filter non- informative genes and to extract the biologically interpretable functional modules matching the real data structure.…”
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Application and practice of industrial big data by Aijin YUAN, Binnan YUE, Xin YAN, Jian HUANG

“…With the advent of the Internet of things and the era of Cyber Physical System,more data can be collected and analyzed,and industrial big data have become important driving force for industry innovation and transformation.Unlike traditional Internet big data,industrial big data are closely integrated with industrial logic.The difference between industrial big data and internet big data was compared in detail.Combined with the classical cases,the process of demand driven transformation of traditional manufacturing industry and the development path of industrial big data were expounded.The structure and working principles of industrial big data platform were introduced.At last,taking the excavator business as an example,it shows the application effect of the industrial big data platform,and that having a share in data and models will make data based application produce more value was put forward.…”
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Embedding With Preservation of Semantics of the Original Data by M. E. Vatkin, D. A. Vorobey, M. V. Yakovlev, M. G. Krivova

“…In the modern world, the data used to describe objects is often presented as sparse vectors with a large number of features. …”
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Data caching technologies in modern microprocessors by V. A. Egunov, V. A. Shabalovsky

“…The study presented in the paper is aimed at studying the methods for improving the efficiency of software in modern computing systems with a hierarchical memory structure. Method. The study is based on data caching technologies in microprocessors. …”
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Data Inconsistency Evaluation for Cyberphysical System by Hao Wang, Jianzhong Li, Hong Gao

“…To deal with the large dynamic data, we provide a compact structure based on B-tree for storing independent residual subgraph in order to update inconsistency efficiently. …”
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Efficient processing of raster and vector data. by Fernando Silva-Coira, José R Paramá, Susana Ladra, Juan R López, Gilberto Gutiérrez

“…More concretely, we present algorithms for solving a spatial join between a raster and a vector dataset imposing a restriction on the values of the cells of the raster; and an algorithm for retrieving K objects of a vector dataset that overlap cells of a raster dataset, such that the K objects are those overlapping the highest (or lowest) cell values among all objects. The raster data is stored using a compact data structure, which can directly manipulate compressed data without the need for prior decompression. …”
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Challenges in Dental Statistics: Data and Modelling by Domenica Matranga, Paolo Castiglia, Giuliana Solinas

“…During the meeting, we dealt with very important topics of statistical methodology for the analysis of dental data, covering the analysis of hierarchically structured and over-dispersed data, the issue of calibration and reproducibility, as well as some problems related to survey methodology, such as the design and construction of unbiased statistical indicators and of well conducted clinical trials. …”
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Data Domain Servitization for Microservices Architecture by Patricio Michael Paccha, Victor Vicente Velepucha

“…This article reports an empirical study based on a systematic literature review aimed at identifying modeling techniques for segmenting data structures during microservice design. The review found limited methods to address the appropriate level of data granularity per microservice. …”
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Digital Bibliography in the Age of Linked Data by Kate Ozment

“…The article argues that as data from the ESTC is reproduced through linked data structures, information is ‘authorized’ far beyond what a single resource would do alone or what its original authors imagined or designed. …”
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Data Science in the Management of Healthcare Organizations by Pedro Faria, Victor Alves, José Neves, Henrique Vicente

“…This study emphasizes the role of Data Science, with the incorporation of Artificial Intelligence tools, in enabling data-driven and interconnected management strategies. …”
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An Exploration of Consistency Learning with Data Augmentation by Connor Shorten, Taghi M. Khoshgoftaar

“…Nearly all of these successes require very large manually annotated datasets. Data augmentation has enabled Supervised Learning with less labeled data, while avoiding the pitfalls of overfitting. …”
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Big-Data-Assisted Urban Governance: A Machine-Learning-Based Data Record Standard Scoring Method by Zicheng Zhang, Tianshu Zhang

“…However, existing methods for assessing data record standards focus predominantly on structured data, exhibiting notable inadequacies in handling the complexities inherent in unstructured or semi-structured textual hotline records. …”
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The Property Graph Data Format (PGDF) by Renzo Angles, Sebastian Ferrada, Ignacio Burgos

“…The simplicity of PGDF comes from its tabular-like structure, where each line in a PGDF file contains a single schema or data declaration. …”
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