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1

Gavrilov, Leonid. Information technologies in commerce. INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1085795.

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The textbook discusses the technologies of the digital economy in commerce: visualization systems, virtual and mixed reality technologies, risk management, budgeting and planning, service-oriented enterprise architecture. The use of intelligent information systems in the work of the enterprise and for forecasting sales, scoring, combating fraud in the banking sector and trade; wireless information networks of 4G and 5G standards, Internet of Things networks, mobile technologies in the work of retail and wholesale enterprises is shown.
 Meets the requirements of the federal state educational standards of higher education of the latest generation.
 For students of higher educational institutions studying in the field of training "Trade business".
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2

Strothotte, Thomas. Computational Visualization: Graphics, Abstraction and Interactivity. Springer Berlin Heidelberg, 1999.

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3

Oreshina, Marina, and Andrey Garnov. Information management technologies in the context of digital transformation. INFRA-M Academic Publishing LLC., 2025. https://doi.org/10.12737/2186397.

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The textbook provides a general description of the processes of collecting, transmitting, and storing information using information management systems in organizations and enterprises, and discusses information processing methods and tools, including data visualization using the Yandex DataLens service. The creation of a complex of interrelated models of information processes is considered, the development of methods that allow automated solutions to various problems of an applied nature is presented, ways and means of implementing information technologies are shown: methodological, informational, mathematical, algorithmic, technical and programmatic. The basic concepts of modeling information systems and processes are defined, the classification and types of models of information management systems are given. The issues of information system security are considered. Meets the requirements of the latest generation of federal state educational standards for higher education. It is intended for students studying in the fields of 09.03.03 "Applied Informatics", 01.04.05 "Statistics" and 10.03.01 "Information Security".
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4

A, Ditson Leslie, Kessler Rohn, Anderson-Inman Lynne, and Mafit Dana, eds. Concept-mapping companion: For Inspiration version 6.0. 2nd ed. International Society for Technology in Education, 2001.

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5

Wolny, Philip. Creating electronic graphic organizers / Philip Wolny. Rosen Central, 2011.

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6

Spence, Robert. Information Visualization. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-07341-5.

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7

Kerren, Andreas, John T. Stasko, Jean-Daniel Fekete, and Chris North, eds. Information Visualization. Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-70956-5.

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8

Agosti, Maristella, Nicola Ferro, Pamela Forner, Henning Müller, and Giuseppe Santucci, eds. Information Retrieval Meets Information Visualization. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-36415-0.

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9

Zhang, Jin, ed. Visualization for Information Retrieval. Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-75148-9.

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10

Tergan, Sigmar-Olaf, and Tanja Keller, eds. Knowledge and Information Visualization. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/b138081.

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11

service), SpringerLink (Online, ed. Introduction to Information Visualization. Springer-Verlag London, 2009.

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12

Nazarov, Dmitriy, and Anton Kopnin. Information technologies in professional activity: data mining and business analytics. INFRA-M Academic Publishing LLC., 2024. http://dx.doi.org/10.12737/2110964.

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The textbook offers a comprehensive look covering a wide range of topics related to the role of information technology in the modern world. Starting with an overview of the history of information technology and its evolution, the book introduces the reader to professions in the field of information and digital technologies, emphasizing them in various professional fields. The content of the textbook includes a detailed analysis of key concepts such as Data Science, Data Mining and Machine Learning, and their role in healthcare, law, education, science and business. The textbook provides a detailed overview of Data Science methods and algorithms, including teaching methods with and without a teacher, as well as specific methods such as Dematel. In the section on business intelligence tools, special attention is paid to Yandex Cloud DataLens, its data analysis functionality, and practical recommendations on registration, the use of intelligent detection of patterns in data, visualization and the development of analytical panels are provided. The section of the textbook devoted to the R and Python programming languages contains recommendations on the use of the R and Python programming languages for statistical data analysis, a description of the main data types, operations, and specific algorithms used for analytical purposes. This section provides a quick guide on how to use the RStudio and PyCharm tools. The final section is devoted to the application of data analysis tools in real projects, providing the reader with the opportunity to immerse themselves in the world of data processing using advanced technologies and techniques. The presentation of the material of each chapter is accompanied by control questions and tests to consolidate the theoretical material, located at the end of the chapter. This textbook will be an indispensable resource for students, professionals and researchers who want to deeply understand and apply information and digital technologies in their professional activities.
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13

IEEE Conference on Visualization (1st 1990 San Francisco, Calif.). Visualization '90. IEEE Computer Society Press, 1990.

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14

Nazemi, Kawa. Adaptive Semantics Visualization. Springer International Publishing. Studies in Computational Intelligence., 2016.

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15

1948-, Hearnshaw Hilary M., Unwin D, and Association for Geographical Information, eds. Visualization in geographical information systems. Wiley & Sons, 1994.

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16

Chen, Min, Miquel Feixas, Ivan Viola, Anton Bardera, Han-Wei Shen, and Mateu Sbert. Information Theory Tools for Visualization. A K Peters/CRC Press, 2016. http://dx.doi.org/10.1201/9781315369228.

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17

1960-, Chen Chaomei, ed. Information visualization: Beyond the horizon. 2nd ed. Springer, 2004.

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18

Chen, Chaomei. Information visualization: Beyond the horizon. 2nd ed. Springer, 2004.

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19

Zuberec, Sarah Elizabeth. Visualization of text based information. National Library of Canada, 1993.

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20

Chun-houh, Chen, Härdle Wolfgang, and Unwin Antony, eds. Handbook of data visualization. Springer, 2007.

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21

Ditson, Leslie A., Rohn Kessler, Lynne Anderson-Inma, and Dana Mafit. Concept-Mapping Companion, Second Edition. 2nd ed. ISTE, 2001.

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22

Borba, Marcelo C., and Monica E. Villarreal. Humans-with-Media and the Reorganization of Mathematical Thinking: Information and Communication Technologies, Modeling, Visualization and Experimentation (Mathematics Education Library). Springer, 2006.

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23

Borba, Marcelo C., and Monica E. Villarreal. Humans-with-Media and the Reorganization of Mathematical Thinking: Information and Communication Technologies, Modeling, Visualization and Experimentation (Mathematics Education Library). Springer, 2005.

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24

Chen, Chaomei. Information Visualization. 2nd ed. Springer, 2004.

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25

Information Visualization. Elsevier, 2013. http://dx.doi.org/10.1016/c2009-0-62432-6.

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26

Information Visualization. Elsevier, 2021. http://dx.doi.org/10.1016/c2016-0-02395-1.

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27

Information Visualization. Elsevier, 2004. http://dx.doi.org/10.1016/b978-1-55860-819-1.x5000-6.

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28

Information Visualization. Springer London, 2006. http://dx.doi.org/10.1007/1-84628-579-8.

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29

Spence, Robert. Information Visualization. Pearson Education, Limited, 2015.

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30

Information Visualization. Addison Wesley, 2000.

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31

Beautiful visualization. O'Reilly Media, 2010.

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32

Introduction to Information Visualization. Springer London, 2009. http://dx.doi.org/10.1007/978-1-84800-219-7.

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33

Information Visualization: An Introduction. Springer, 2014.

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34

Visualization for information retrieval. Springer, 2008.

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35

Zhang, Jin. Visualization for Information Retrieval. Springer, 2008.

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36

Jin, Zhang. Visualization for Information Retrieval. Springer, 2010.

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37

Spence, Robert. Information Visualization: An Introduction. Springer International Publishing AG, 2014.

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38

Hansen, Charles D., and Chris R. Johnson. Visualization Handbook. Academic Press, 2004.

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39

Clair, Guy St. Knowledge Services: A Strategic Framework for the 21st Century Organization. de Gruyter GmbH, Walter, 2016.

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40

Knowledge Services. De Gruyter Saur, 2016.

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41

Nazemi, Kawa. Adaptive Semantics Visualization. Springer, 2018.

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42

Felvegi, Emese. Data Visualization Labs. University of Houston Open Educational Resources, 2022.

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43

Nazemi, Kawa. Adaptive Semantics Visualization. Springer, 2016.

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44

(Editor), D. Ebert, J. M. Favre (Editor), and R. Peikert (Editor), eds. Data Visualization 2001. Springer, 2001.

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45

GPU-Based Interactive Visualization Techniques (Mathematics and Visualization). Springer, 2006.

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46

Chen, Min. Information Theory Tools for Visualization. Taylor & Francis Group, 2022.

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47

INFORMATION VISUALIZATION: PERCEPTION FOR DESIGN. MORGAN KAUFMANN, 2004.

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48

The Craft of Information Visualization. Elsevier, 2003. http://dx.doi.org/10.1016/b978-1-55860-915-0.x5000-8.

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49

Information visualization: Perception for design. 3rd ed. Morgan Kaufmann, 2012.

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50

Information Visualization: Perception for Design. Elsevier Science & Technology Books, 2000.

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