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1

Reinartz, Thomas, ed. Focusing Solutions for Data Mining. Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/3-540-48316-0.

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2

Malaska, Ted, and Jonathan Seidman. Foundations for Architecting Data Solutions: Managing Successful Data Projects. Edited by Nicole Tache and Michele Cronin. O’Reilly Media, 2018.

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3

Furtado, Pedro Nuno San-Banto, 1968-, ed. Evolving application domains of data warehousing and mining: Trends and solutions. Information Science Reference, 2010.

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4

Root, Randal. Pro SQL Server 2012 BI Solutions. Apress, 2012.

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5

Furtado, Pedro Nuno San-Banto, 1968-, ed. Evolving application domains of data warehousing and mining: Trends and solutions. Information Science Reference, 2010.

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6

Westphal, Christopher R. Data mining solutions: Methods and tools for solving real-world problems. Wiley, 1998.

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7

1954-, Eyob Ephrem, ed. Social implications of data mining and information privacy: Interdisciplinary frameworks and solutions. Information Science Reference, 2009.

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8

Jos, van Dongen, ed. Pentaho Solutions: Business Intelligence and Data Warehousing with Pentaho and MySQL. Wiley [Imprint], 2009.

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9

Institute, SAS, ed. Predictive modeling with SAS Enterprise Miner: Practical solutions for business applications. 2nd ed. SAS Institute, 2013.

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10

Sarma, Kattamuri S. Predictive modeling with SAS Enterprise Miner: Practical solutions for business applications. SAS Institute, 2007.

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11

Tarnay, Katalin, Sándor Imre, and Lai Xu. Research and development in e-business through service-oriented solutions. Business Science Reference, An Imprint of IGI Global, 2013.

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12

Geological Survey (U.S.), ed. Analytical solutions for one-, two-, and three-dimensional solute transport in ground-water systems with uniform flow. Dept. of the Interior, U.S. Geological Survey, 1989.

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13

Geological Survey (U.S.), ed. Analytical solutions for one-, two-, and three-dimensional solute transport in ground-water systems with uniform flow. U.S. G.P.O., 1992.

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14

Geological Survey (U.S.), ed. Analytical solutions for one-, two-, and three-dimensional solute transport in ground-water systems with uniform flow. U.S. G.P.O., 1992.

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15

Geological Survey (U.S.), ed. Analytical solutions for one-, two-, and three-dimensional solute transport in ground-water systems with uniform flow. U.S. G.P.O., 1992.

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16

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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17

J, Sutley S., and Geological Survey (U.S.), eds. Analytical results, mineralogical data, and distributions of anomalies for elements and minerals in three mother lode-type gold deposits, Hodson mining district, Calaveras County, California. U.S. Dept. of the Interior, U.S. Geological Survey, 1994.

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18

B, Cathrall John, and Geological Survey (U.S.), eds. Analytical results, geochemical signatures, mineralogical data, and sample locality map of lode gold, placer gold, and heavy-mineral concentrates from the Tolovana mining district, Livengood quadrangle, Alaska. U.S. Dept. of the Interior, Geological Survey, 1988.

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19

B, Cathrall John, and Geological Survey (U.S.), eds. Analytical results, geochemical signatures, mineralogical data, and sample locality map of lode gold, placer gold, and heavy-mineral concentrates from the Tolovana mining district, Livengood quadrangle, Alaska. U.S. Dept. of the Interior, Geological Survey, 1988.

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20

B, Cathrall John, and Geological Survey (U.S.), eds. Geochemical signatures, analytical results, mineralogical data, and sample locality map of placer and lode gold, and heavy-mineral concentrates from the Fortymile mining district, Eagle quadrangle, Alaska. U.S. Dept. of the Interior, Geological Survey, 1989.

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21

K, McDanal S., and Geological Survey (U.S.), eds. Analytical results, geochemical signatures, mineralogical data, and sample locality map of placer gold and heavy-mineral concentrates from the Manley Hot Springs, Tofty, Eureka, and Rampart mining districts, Tanana and Livengood quadrangles, Alaska. U.S. Dept. of the Interior, Geological Survey, 1988.

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22

K, McDanal S., and Geological Survey (U.S.), eds. Analytical results, geochemical signatures, mineralogical data, and sample locality map of placer gold and heavy-mineral concentrates from the Manley Hot Springs, Tofty, Eureka, and Rampart mining districts, Tanana and Livengood quadrangles, Alaska. U.S. Dept. of the Interior, Geological Survey, 1988.

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23

Reinartz, Thomas. Focusing Solutions for Data Mining: Analytical Studies and Experimental Results in Real-World Domains. Springer, 2003.

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24

Rawat, Sudhir. Understanding Azure Data Factory: Operationalizing Big Data and Advanced Analytics Solutions. Apress, 2018.

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25

Statistical Data Analytics: Foundations for Data Mining, Informatics, and Knowledge Discovery, Solutions Manual. Wiley & Sons, Limited, John, 2015.

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26

Piegorsch, Walter W. Statistical Data Analytics: Foundations for Data Mining, Informatics, and Knowledge Discovery, Solutions Manual. Wiley & Sons, Incorporated, John, 2015.

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27

Piegorsch, Walter W. Statistical Data Analytics: Foundations for Data Mining, Informatics, and Knowledge Discovery, Solutions Manual. Wiley & Sons, Incorporated, John, 2015.

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28

Piegorsch, Walter W. Statistical Data Analytics: Foundations for Data Mining, Informatics, and Knowledge Discovery, Solutions Manual. Wiley & Sons, Incorporated, John, 2016.

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29

Piegorsch, Walter W. Statistical Data Analytics: Foundations for Data Mining, Informatics, and Knowledge Discovery, Solutions Manual. Wiley & Sons, Incorporated, John, 2015.

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30

Alla, Sridhar. Big Data Analytics with Hadoop 3: Build highly effective analytics solutions to gain valuable insight into your big data. Packt Publishing, 2018.

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31

Focusing Solutions for Data Mining: Analytical Studies and Experimental Results in Real-World Domains (Lecture Notes in Computer Science). Springer, 1999.

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32

Pagans, Ferran Garcia. Predictive Analytics Using Rattle and Qlik Sense: Create Comprehensive Solutions for Predictive Analysis Using Rattle and Share Them with Qlik Sense. Packt Publishing, Limited, 2015.

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33

IBM SPSS Modeler Essentials: Effective Techniques for Building Powerful Data Mining and Predictive Analytics Solutions. Packt Publishing, Limited, 2017.

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34

Modeling Techniques in Predictive Analytics: Business Problems and Solutions with R. Pearson Education, Limited, 2013.

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35

Mastering Qlik Sense: Expert Techniques on Self-Service Data Analytics to Create Enterprise Ready Business Intelligence Solutions. de Gruyter GmbH, Walter, 2018.

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36

Mastering Qlik Sense: Expert Techniques on Self-Service Data Analytics to Create Enterprise Ready Business Intelligence Solutions. Packt Publishing, Limited, 2018.

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37

Analytische Informationssysteme: Data Warehouse, On-Line Analytical Processing, Data Mining. Springer Berlin Heidelberg, 1999.

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38

Malaska, Ted. Solutions Architecture: From Data to ROI. O'Reilly Media, Incorporated, 2018.

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39

Fundamentals of Data Observability: Implement Trustworthy End-To-End Data Solutions. O'Reilly Media, Incorporated, 2023.

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40

Root, Randal, and Caryn Mason. Pro SQL Server 2012 BI Solutions. Apress, 2012.

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41

Secrets Of Analytical Leaders Insights From Information Insiders. Technics Publications, LLC, 2012.

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42

Wendler, Tilo, and Sören Gröttrup. Data Mining with SPSS Modeler: Theory, Exercises and Solutions. Springer International Publishing AG, 2021.

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43

Managing Data Mining: Advice from Experts (IT Solutions series). Cybertech Publishing, 2004.

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44

Wendler, Tilo, and Sören Gröttrup. Data Mining with SPSS Modeler: Theory, Exercises and Solutions. Springer International Publishing AG, 2022.

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45

Wendler, Tilo, and Sören Gröttrup. Data Mining with SPSS Modeler: Theory, Exercises and Solutions. Springer, 2016.

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46

Wendler, Tilo, and Sören Gröttrup. Data Mining with SPSS Modeler: Theory, Exercises and Solutions. Springer London, Limited, 2016.

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47

“Data Mining Concepts & Techniques”. 3rd ed. Morgan Kaufmann Publishers, 2011.

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48

Gupta, Deepak, Valentina Emilia Balas, and D. Jude Hemanth. Intelligent Data Analysis for Biomedical Applications: Challenges and Solutions. Elsevier Science & Technology, 2019.

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49

Gupta, Deepak, Valentina Emilia Balas, and Hemanth D. Jude. Intelligent Data Analysis for Biomedical Applications: Challenges and Solutions. Elsevier Science & Technology Books, 2019.

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50

Kumar, Vallarapu Naga Avinash. PostgreSQL 13 Cookbook: Over 120 Recipes to Build High-Performance and Fault-tolerant PostgreSQL Database Solutions. Packt Publishing, Limited, 2021.

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