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Journal articles on the topic 'Processing of information data'

Author: Grafiati

Published: 28 May 2022

Last updated: 31 July 2025

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1

Wojdynski, Bartosz W. "Interactive Data Graphics and Information Processing." Journal of Media Psychology 27, no. 1 (2015): 11–21. http://dx.doi.org/10.1027/1864-1105/a000127.

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Among the chief promises of interactivity in news content online are that it leads to improved engagement with and attitudes toward content, yet scholarship is mixed on how such effects should occur, and under what conditions they do so. This study sought to examine the processes and conditions for effects of interactivity on processing online health news containing graphically displayed data. An experiment (N = 86) was conducted using online health news to examine these effects and test two previously proposed mechanisms – namely, those of increased involvement and perceived interactivity. In

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2

BERRY, P. A. M., and A. J. MEADOWS. "INFORMATION PROCESSING OF REMOTE‐SENSING DATA." Journal of Documentation 43, no. 4 (1987): 295–302. http://dx.doi.org/10.1108/eb026812.

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3

Editorial. "Information Security and Multisensor Data Processing." Information & Security: An International Journal 2 (1999): 5–11. http://dx.doi.org/10.11610/isij.0200.

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4

Papademetriou, Rallis C. "Data processing using information theory functionals." Kybernetes 27, no. 3 (1998): 264–72. http://dx.doi.org/10.1108/03684929810209478.

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5

GAŠPAR, Vladimír, and Rudolf ANDOGA. "DESIGN OF A LABORATORY INFORMATION SYSTEM FOR DATA PROCESSING AND EFFICIENCY EVALUATION." Acta Electrotechnica et Informatica 15, no. 4 (2015): 22–29. http://dx.doi.org/10.15546/aeei-2015-0032.

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6

Riski, Alya Nur, Muhammad Syukri, Oktavia Oktavia, Rini Risanti, and Asep Suherman. "Tax Data Processing System." Informatics Management, Engineering and Information System Journal 1, no. 1 (2023): 88–98. http://dx.doi.org/10.56447/imeisj.v1i1.222.

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The expense information handling framework at the Shibgah Islam Nusantara Amanah Foundation is as yet done physically, according to the ongoing framework, information filing and duty information recovery have not been completed as expected and on time, where away it is constantly put away haphazardly, causing harm or harm. lost information, so looking for information for data requirements of benefactors consumes most of the day since they need to every year find and match documents. This framework is broke down and planned utilizing spellbinding investigation research strategies and OOAD (Obje

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7

KRYVENCHUK, Yurii, and Mykhailo-Yurii KHANAS. "ALGORITHM OF DATA MINING AND PROCESSING OF RELATED DATA IN SOCIAL NETWORKS." Herald of Khmelnytskyi National University. Technical sciences 311, no. 4 (2022): 115–18. http://dx.doi.org/10.31891/2307-5732-2022-311-4-115-118.

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We live in a time of rapid growth of information technology, which is firmly entrenched in our daily lives. It is simply impossible to imagine a modern person without social networks, because they perform a communicative and informational function, namely: communication, information retrieval, news exchange, etc. Five hundred million tweets are posted daily, making Twitter a major social media platform from which topical information on events can be extracted. So, there is a lot of information available to the user, which is difficult to identify something specific and necessary in the usual w

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8

Sharopova, Muxayyo Muxtor qizi. "PROCESSING TECHNOLOGIES BIG DATA." Multidisciplinary Journal of Science and Technology 4, no. 3 (2024): 390–95. https://doi.org/10.5281/zenodo.10870056.

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9

Long, John M. "The POSCH data processing experience." Journal of Medical Systems 10, no. 2 (1986): 173–83. http://dx.doi.org/10.1007/bf00993123.

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10

KIKKAWA, Sho. "Biomedical Information Engineering : Information Processing of Biomedical Random Data." Journal of the Society of Mechanical Engineers 89, no. 811 (1986): 583–89. http://dx.doi.org/10.1299/jsmemag.89.811_583.

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11

Lahno, Valery. "ENSURING OF INFORMATION PROCESSES’ RELIABILITY AND SECURITY IN CRITICAL APPLICATION DATA PROCESSING SYSTEMS." MEST Journal 2, no. 1 (2014): 71–79. http://dx.doi.org/10.12709/mest.02.02.01.07.

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12

Bethu, Srikanth, B. Sankara Babu, and R. Aruna Flarence. "Data Processing in Information Systems Health Care Data Analysis." International Journal of Computer Sciences and Engineering 6, no. 7 (2018): 462–70. http://dx.doi.org/10.26438/ijcse/v6i7.462470.

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13

Gnip, P., and S. Kafka. "Using technology of data collection and data processing in precision farming." Agricultural Economics (Zemědělská ekonomika) 49, No. 9 (2012): 419–26. http://dx.doi.org/10.17221/5426-agricecon.

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Data collection, data processing, data presentation and data application in the System of Precision farming guarantee a success of this system in the market. Difficulties of technologies, which are currently and continually involved in this system, argue against its practical using by farmers. In this case, service company wants to create a suitable environment not only for data collection, but also for the high quality of the information distribution to customers. One of such tools is the MapServer placed on Internet web sites.

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14

Saleh, Eyad, Ahmad Alsa'deh, Ahmad Kayed, and Christoph Meinel. "Processing Over Encrypted Data." ACM SIGMOD Record 45, no. 3 (2016): 5–16. http://dx.doi.org/10.1145/3022860.3022862.

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15

Aberer, Karl. "Advanced XML data processing." ACM SIGMOD Record 30, no. 3 (2001): 11–13. http://dx.doi.org/10.1145/603867.603869.

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16

Hal, A. F., H. Yu Haidai, and A. Yu Hrieshnov. "EXPERIMENTAL DATA PROCESSING INFORMATION AND MEASURING SYSTEM." Scientific notes of Taurida National V.I. Vernadsky University. Series: Technical Sciences 1, no. 1 (2020): 60–65. http://dx.doi.org/10.32838/2663-5941/2020.1-1/11.

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17

Suparni, Suparni, Lilyani Asri Utami, and Elsa Dwi Selviana. "Property Sales Data Processing Information System (SiPendar)." SinkrOn 3, no. 2 (2019): 180. http://dx.doi.org/10.33395/sinkron.v3i2.10084.

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PT. Pratama Mega Konstruksindo is one of the companies engaged in Property, especially Housing. One of the fields that requires technological progress is one of them is the property sector, the rapid development in the property sector is currently urging property service companies to meet the demands of the wider community. Implementation of work related to housing sales. In managing the data, this company still uses a manual system, starting from the recording and calculation aspects so that its performance has not been effective. At PT Pratama Mega Konstruksindo this still manages data using

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18

(Shitz), Shlomo Shamai, and Abdellatif Zaidi. "Information Theory for Data Communications and Processing." Entropy 22, no. 11 (2020): 1250. http://dx.doi.org/10.3390/e22111250.

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This book, composed of the collection of papers that have appeared in the Special Issue of theEntropy journal dedicated to “Information Theory for Data Communications and Processing”,reflects, in its eleven chapters, novel contributions based on the firm basic grounds of informationtheory. The book chapters [1–11] address timely theoretical and practical aspects that carry bothinteresting and relevant theoretical contributions, as well as direct implications for modern currentand future communications systems. [...]

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19

Kodaka, H., T. Hosoki, M. Kitagawa, and Y. Okabe. "SFQ data processing with set/reset information." IEEE Transactions on Appiled Superconductivity 9, no. 2 (1999): 3729–32. http://dx.doi.org/10.1109/77.783838.

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20

Cartensen Jr., Lawrence W. "Map Data Processing In Geographic Information Systems." Cartographic Perspectives, no. 05 (March 1, 1990): 29. http://dx.doi.org/10.14714/cp05.1126.

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21

Quantin-Nataf, C., L. Lozac'h, P. Thollot, et al. "MarsSI: Martian surface data processing information system." Planetary and Space Science 150 (January 2018): 157–70. http://dx.doi.org/10.1016/j.pss.2017.09.014.

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22

Kasturi, R., R. Fernandez, M. L. Amlani, and W. C. Feng. "Map data processing in geographic information systems." Computer 22, no. 12 (1989): 10–21. http://dx.doi.org/10.1109/2.42028.

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23

Somogyi, Elisabeth K., and Robert D. Galliers. "Applied Information Technology: From Data Processing to Strategic Information Systems." Journal of Information Technology 2, no. 1 (1987): 30–41. http://dx.doi.org/10.1177/026839628700200107.

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This paper provides a brief historical overview of developments in the application of information technology. It highlights the key turning points and examines how the role of information systems has changed during the brief history of this new technology.

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24

Somogyi, Elisabeth K., and Robert D. Galliers. "Applied Information Technology: from Data Processing to Strategic Information Systems." Journal of Information Technology 2, no. 1 (1987): 30–41. http://dx.doi.org/10.1057/jit.1987.7.

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25

Waller, John. "Processing Country Centroids at the Global Biodiversity Information Facility." Biodiversity Information Science and Standards 7 (August 9, 2023): e110728. https://doi.org/10.3897/biss.7.110728.

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The Global Biodiversity Information Facility (GBIF) is an international network and data infrastructure that promotes open access to biodiversity data. GBIF serves as a global hub for aggregating and disseminating biodiversity information from diverse sources, including museums, research institutions, and citizen science projects.I will present recent additions to GBIF data quality measures, focusing on the introduction of the country centroid filtering feature. Additionally, I explore the functionality and significance of GBIF data quality flags, which aid in assessing the reliability and usa

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26

Adjovi, Irène Sokegbe, and Nainwal Ayushi. "Unstructured Data Processing using Spark for Topics Modelling." International Journal of Engineering and Advanced Technology (IJEAT) 9, no. 5 (2020): 1060–63. https://doi.org/10.35940/ijeat.E9992.069520.

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Information Technology domain is facing changes day by day. Furthermore, the size of data increases, as well as the demand to process them. There are two types of data: structured and unstructured data. The multiple sources and the variety of data today involve the use of “Big data” instead of data. It is related that 80% of enteUprise’s data is unstructured [1]. However, the procedures to handle unstructured data are more complex than those for structured data. Thus, it becomes necessary to have a clear idea about this type of data and to know how to extract useful informati

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27

Lee, Kyong-Ha, Yoon-Joon Lee, Hyunsik Choi, Yon Dohn Chung, and Bongki Moon. "Parallel data processing with MapReduce." ACM SIGMOD Record 40, no. 4 (2012): 11–20. http://dx.doi.org/10.1145/2094114.2094118.

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28

Getta, Janusz R., and Ehsan Vossough. "Optimization of data stream processing." ACM SIGMOD Record 33, no. 3 (2004): 34–39. http://dx.doi.org/10.1145/1031570.1031577.

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29

Grams, Ralph R., and Georgina C. Peck. "National Survey of Hospital Data Processing?1985." Journal of Medical Systems 10, no. 5-6 (1986): 423–568. http://dx.doi.org/10.1007/bf00992516.

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30

Junger, A., L. Quinzio, A. Michel, et al. "Data Processing at the Anesthesia Workstation: from Data Entry to Data Presentation." Methods of Information in Medicine 39, no. 04/05 (2000): 319–24. http://dx.doi.org/10.1055/s-0038-1634450.

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Abstract:Main requirements for an Anesthesia Information Management System (AIMS) are the supply of additional information for the anesthesiologist at his workstation and complete documentation of the anesthetic procedure. With the implementation of an AIMS (NarkoData) and effective user support, the quality of documentation and the information flow at the anesthesia workstation could be increased. Today, more than 20,000 anesthesia procedures are annually recorded with the AIMS at 112 decentralized workstations. The network for data entry and the presentation and evaluation of data, statistic

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31

Fahmi, Fahmi Nugraha. "PROCESSING STUDENT DATA USING A DATA WAREHOUSE." Scientific Journal of Information System 1, no. 1 (2024): 1–4. http://dx.doi.org/10.70429/sjis.v1i1.92.

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Lectures are activities carried out by a higher education institution. This activity involves several elements, including students, academics and lecturers. The result of the lecture process is the emergence of grades for each student according to the courses they take. In each semester, an evaluation of the lecture process can be carried out, including obtaining an index of the quality of lecturers and students. This information can be used by management in making policies regarding the lecture process in the future. Data warehouse technology is needed to manage all values and display them in

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32

Rostek, Katarzyna. "Data Analytical Processing in Data Warehouses." Foundations of Management 2, no. 1 (2010): 99–116. http://dx.doi.org/10.2478/v10238-012-0023-x.

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Data Analytical Processing in Data Warehouses The article presents issues connected with processing information from data warehouses (the analytical enterprise databases) and two basic types of analytical data processing in data warehouse. The genesis, main definitions, scope of application and real examples from business implementations will be described for each type of analysis. There will be presented copyrighted method of knowledge discovering in databases, together with practical guidelines for its proper and effective use in the enterprise.

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33

Becker, Christoph, Kresimir Duretec, and Andreas Rauber. "The Challenge of Test Data Quality in Data Processing." Journal of Data and Information Quality 8, no. 2 (2017): 1–4. http://dx.doi.org/10.1145/3012004.

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34

Sizov, A. S., E. A. Titenko, Yu A. Khalin, M. A. Titenko, and R. V. Kalinin. "Building data centers: information and cognitive aspects." Proceedings of the Southwest State University. Series: IT Management, Computer Science, Computer Engineering. Medical Equipment Engineering 14, no. 4 (2025): 146–63. https://doi.org/10.21869/2223-1536-2024-14-4-146-163.

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The purpose of the research is to systematize the properties of data centers and to find ways to increase the productivity of a network of centers based on collective access, combining the steps of storing and processing information and its replication.Methods. The research methods are based on the theory of organization of complex information and analytical systems and artificial intelligence systems. The application of the principles of distributed-territorial organization of centers, deferred data collection, data processing based on computational and analytical models and knowledge represe

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35

Gough, T. G. "Data Processing Methods." Data Processing 27, no. 5 (1985): 51. http://dx.doi.org/10.1016/0011-684x(85)90145-5.

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36

Richards, B. "Data processing mathematics." Data Processing 28, no. 3 (1986): 162. http://dx.doi.org/10.1016/0011-684x(86)90015-8.

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37

Lepper, AM. "Data Processing Budgets." Data Processing 28, no. 2 (1986): 103. http://dx.doi.org/10.1016/0011-684x(86)90114-0.

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38

Goncalves, Romulo, and Martin Kersten. "The data cyclotron query processing scheme." ACM Transactions on Database Systems 36, no. 4 (2011): 1–35. http://dx.doi.org/10.1145/2043652.2043660.

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39

Golubtsov, P. V. "The Concept of Information in Big Data Processing." Automatic Documentation and Mathematical Linguistics 52, no. 1 (2018): 38–43. http://dx.doi.org/10.3103/s000510551801003x.

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40

Nanda, Pooja, and Vikas Kumar. "Information Processing and Data Analytics for Decision Making." Information Resources Management Journal 35, no. 2 (2022): 1–14. http://dx.doi.org/10.4018/irmj.291693.

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Decision making is required by all organizations; however, the decision making styles may differ. ost commonly used decision styles include: (a) Autocratic (b) Democratic (c) Consensus and (d) Participatory. With the Globalization and expansion of businesses, professionals have become highly dependent upon the technology to support the decision making process and decision support systems have come-up as a fastest growing discipline. Present work discusses the evolution of computerized decision support, considering the: (a) Model Driven (b) Data Driven (c) Communication Driven (d) Document Driv

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41

Сафонов, Михайло Сергійович. "Imitating modelling of data processing in information system." Eastern-European Journal of Enterprise Technologies 2, no. 4(68) (2014): 37. http://dx.doi.org/10.15587/1729-4061.2014.23153.

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42

Umam, Faikul, and Rachmad Hidayat. "WEB-Based Traffic Ticket Data Processing Information System." MATEC Web of Conferences 58 (2016): 03015. http://dx.doi.org/10.1051/matecconf/20165803015.

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43

Salbiah Salbiah and Muhammad Irwan Padli Nasution. "ANALYSIS OF DATA PROCESSING IN MANAGEMENT INFORMATION SYSTEMS." JURNAL ILMIAH EKONOMI DAN MANAJEMEN 2, no. 12 (2024): 01–12. https://doi.org/10.61722/jiem.v2i11.3017.

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In the digital era, data plays a crucial role in the success of business management processes. The integration of Management Information Systems (MIS) enables organizations to efficiently collect, process, and analyze data for better decision-making. This study aims to analyze data processing in MIS, highlighting challenges, such as security issues and system integration, while also exploring solutions involving advanced technologies like Big Data and Artificial Intelligence (AI). The findings demonstrate that effective data processing significantly enhances operational efficiency and decision

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44

Shakhovska, Nataliya, Nataliya Boyko, Yevgen Zasoba, and Eleonora Benova. "Big Data Processing Technologies in Distributed Information Systems." Procedia Computer Science 160 (2019): 561–66. http://dx.doi.org/10.1016/j.procs.2019.11.047.

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45

Ito, Hidemi M., Akihiko Wakayama, Mitsuyuki Hoshiba, De-Yi Feng, and Ming-Zhou Lin. "A fuzzy information processing system of seismic data." Acta Seismologica Sinica 6, no. 4 (1993): 813–21. http://dx.doi.org/10.1007/bf02651817.

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46

Golubev, Alexandr, Peter Bogatencov, and Grigore Secrieru. "DICOM data processing optimization in medical information systems." Scalable Computing: Practice and Experience 19, no. 2 (2018): 189–201. http://dx.doi.org/10.12694/scpe.v19i2.1399.

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The problem of storage and visualization of medical images collected by various medical equipment is actual for latest 10 years for every medical institution. On the other hand, access to the medical investigation datasets and solving the problem of personal patient data security is important for scientific community and institutions that require this data. "DICOM Network" project was developed for solving these problems for different actors in the system based on the various customized roles. This article describes the problems and possible solutions for optimization of medical images storing

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47

Zukovsky, I. U., E. I. Smirnova, and A. V. Shirochkov. "Data organization in the ionosphere information processing system." Advances in Space Research 8, no. 4 (1988): 131–32. http://dx.doi.org/10.1016/0273-1177(88)90225-6.

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48

Smith, Daniel L. "Managing for Quality Data Processing." Journal of Information Systems Management 3, no. 2 (1986): 40–42. http://dx.doi.org/10.1080/07399018608965242.

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49

Mikhalevskyi, Vitalyi, and Galyna Mikhalevska. "DEVELOPMENT OF INFORMATION ENVIRONMENT FOR FORMATION INTELLECTUAL PROCESSING OF THE INFORMATION SOCIETY." Herald of Khmelnytskyi National University. Technical sciences 281, no. 1 (2020): 163–70. https://doi.org/10.31891/2307-5732-2020-281-1-163-170.

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In the article the components of technological basis of information and communication systems and the basic processes of its improvement are proposed and researched in general terms. The interaction between the user and Web service is monitored (information services, which are provided to users through Web technologies). Today, the evolution of the creation and formation of a multidimensional information communication environment is a determining factor for the innovative development and efficient functioning of all structures and social systems of the information society. Precisely by the com

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50

Dadashova, Amina S., and Sharani M. Namaev. "INFORMATION ANALYSIS OF BIG DATA." EKONOMIKA I UPRAVLENIE: PROBLEMY, RESHENIYA 12/14, no. 153 (2024): 117–23. https://doi.org/10.36871/ek.up.p.r.2024.12.14.016.

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The purpose of this paper is to study modern methods and technologies of infor-mation analysis of big data (Big Data). Objectives included: reviewing key Big Data concepts, analyzing existing processing and analysis methods, and evaluating their effectiveness. The results showed that the application of machine learning and deep learning to identify patterns and predictions in large datasets is becoming increasingly important for solving prob-lems in various fields, from business and finance to medicine and science. The practical significance of the study lies in the systematization of knowledg

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