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1

Burmester, Lars. Adaptive Business-Intelligence-Systeme. Vieweg+Teubner, 2011. http://dx.doi.org/10.1007/978-3-8348-8118-2.

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2

T, Leondes Cornelius, ed. Intelligent knowledge-based systems: Business and technology in the new millennium. Kluwer Academic, 2005.

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3

1949-, King David, ed. Expert systems: Artificial intelligence in business. J. Wiley, 1985.

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4

Turban, Efraim. Decision support and business intelligence systems. 9th ed. Pearson/Prentice Hall, 2011.

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5

Howson, Cindi. Successful Business Intelligence. McGraw-Hill, 2008.

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6

Sauter, Vicki L. Decision Support Systems for Business Intelligence. John Wiley & Sons, Inc., 2011. http://dx.doi.org/10.1002/9780470634431.

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7

Kautish, Sandeep, Prasenjit Chatterjee, Dragan Pamucar, N. Pradeep, and Deepmala Singh, eds. Computational Intelligence for Modern Business Systems. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-99-5354-7.

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8

Ivanovic, Mirjana, Marite Kirikova, and Laila Niedrite, eds. Digital Business and Intelligent Systems. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-09850-5.

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9

Lupeikienė, Audronė, Jolita Ralyté, and Gintautas Dzemyda, eds. Digital Business and Intelligent Systems. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-63543-4.

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10

Odincov, Boris. Models and intelligent systems. INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1060845.

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The monograph consists of three chapters, the first of which outlines the theoretical foundations of intelligent information systems. Special attention is paid to the disclosure of the term "model" as the intended meaning depends on the understanding of the material. Introduces and examines the new concepts such as the associative and intuitive knowledge while in the creation of intellectual information systems are not used. 
 The second Chapter contains the analysis of problems of development of artificial intelligence (AI), developed in two directions: classical and statistical. Discuss
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11

Shan, Caifeng. Video Analytics for Business Intelligence. Springer Berlin Heidelberg, 2012.

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12

Burmester, Lars. Adaptive Business-Intelligence-Systeme: Theorie, Modellierung und Implementierung. Vieweg + Teubner, 2011.

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13

Volitich, Dan. IBM Cognos 8 Business Intelligence. McGraw-Hill, 2008.

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14

Khoury, Rim El, and Nohade Nasrallah, eds. Intelligent Systems, Business, and Innovation Research. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-36895-0.

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15

Suran, Goonatilake, and Treleaven P. C, eds. Intelligent systems for finance and business. Wiley, 1995.

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16

Browne, Dean. IBM Cognos Business Intelligence V10.1 handbook. IBM, International Technical Support Organization, 2010.

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17

1960-, Becerra-Fernandez Irma, ed. Business intelligence: Practices, technologies, and management. Wiley, 2011.

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18

Azevedo, Ana, and Manuel Filipe Santos. Integration of data mining in business intelligence systems. Business Science Reference, 2015.

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19

Management de la Performance Bancaire: Business Intelligence Système. Independently Published, 2018.

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20

F, Sébastien FANTINI. Business Intelligence avec SQL Server 2014 - Maîtrisez les concepts et réalisez un système décisionn. ENI, 2015.

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21

Fantini, Sébastien, and Franck Gavand. Business intelligence avec SQL Server 2012: Maîtrisez les concepts et réalisez un système décisionnel. Editions ENI, 2012.

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22

Business Intelligence avec SQL Server 2008 R2 - Maitrisez les concepts et réalisez un système décisi (French Edition). ENI, 2010.

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23

Trzebiatowski, Gabriela Lindemann-v., Jörg Denzinger, Rainer Unland, and Ingo J. Timm. Multiagent System Technologies: Second German Conference, MATES 2004, Erfurt, Germany, September 29-30, 2004, Proceedings. Springer London, Limited, 2004.

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24

(Editor), Gabriela Lindemann-v. Trzebiatowski, Jörg Denzinger (Editor), Ingo J. Timm (Editor), and Rainer Unland (Editor), eds. Multiagent System Technologies: Second German Conference, MATES 2004, Erfurt, Germany, September 29-30, 2004, Proceedings (Lecture Notes in Computer Science). Springer, 2004.

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25

Leondes, Cornelius T. Intelligent Knowledge-Based Systems: Business and Technology in the New Millennium. Springer, 2004.

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26

Leondes, Cornelius T. Intelligent Knowledge-Based Systems: Business and Technology in the New Millennium. Kluwer Academic Publishers, 2005.

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27

Leondes, Cornelius T. Intelligent Knowledge-Based Systems: Business and Technology in the New Millennium. Kluwer Academic Publishers, 2005.

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28

Leondes, Cornelius T. Intelligent Knowledge-Based Systems: Business and Technology in the New Millennium. Kluwer Academic Publishers, 2005.

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29

Leondes, Cornelius T. Intelligent Knowledge-Based Systems: Business and Technology in the New Millennium. Kluwer Academic Publishers, 2005.

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30

Leondes, Cornelius T. Intelligent Knowledge-Based Systems: Business and Technology in the New Millennium. Kluwer Academic Publishers, 2005.

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31

Shukla, Praveen K. SCRS CONFERENCE PROCEEDINGS ON INTELLIGENT SYSTEMS. Edited by Raju Pal. Soft Computing Research Society, 2021. http://dx.doi.org/10.52458/978-93-91842-08-6.

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This book presents the collection of the accepted research papers presented in the Conference on Intelligent Vision and Computing, 2021 and Conference on Intelligent Systems, 2021. In addition, this edited book contains articles related to the themes of business intelligence, artificial intelligence, data analysis, fake news detection, natural language processing, neural network, and cognitive computing.
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32

Thierauf, Robert J. Effective Business Intelligence Systems. Praeger, 2001. http://dx.doi.org/10.5040/9798400644160.

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One step above knowledge management systems are business intelligence systems. Their purpose is to give decision makers a better understanding of their organization's operations, and thus another way to outmaneuver the competition, by helping to find and extract the meaningful relationships, trends, and correlations that underlie the organization's operations and ultimately contribute to its success. Thierauf also shows that by tying critical success factors and key performance indicators into business intelligence systems, an organization's most important financial ratios can also be improved
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33

Effective Business Intelligence Systems. ABC-CLIO, LLC, 2001.

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34

Effective Business Intelligence Systems. ABC-CLIO, LLC, 2001.

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35

Effective Business Intelligence Systems. Quorum Books, 2001.

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36

Vercellis, Carlo. Business Intelligence. Wiley & Sons, Incorporated, John, 2009.

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37

Intelligent Trading Systems Applying Artificial Intelligence To Financial Markets. Harriman House, 2010.

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38

Management Support Systeme und Business Intelligence. Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-68269-1.

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39

Ng, Raymond T., Patricia C. Arocena, Giuseppe Carenini, and Denilson Barbosa. Perspectives on Business Intelligence. Springer International Publishing AG, 2013.

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40

Business Intelligence, Reprint Edition. Brand: Microsoft Press, 2008.

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41

Sauter, Vicki L. Decision Support Systems for Business Intelligence. Wiley & Sons, Incorporated, John, 2014.

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42

Sauter, Vicki L. Decision Support Systems for Business Intelligence. Wiley & Sons, Incorporated, John, 2011.

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43

Sauter, Vicki L. Decision Support Systems for Business Intelligence. Wiley & Sons, Incorporated, John, 2011.

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44

Sauter, Vicki L. Decision Support Systems for Business Intelligence. Wiley & Sons, Incorporated, John, 2011.

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45

Sauter, Vicki L. Decision Support Systems for Business Intelligence. Wiley & Sons, Incorporated, John, 2011.

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46

Sauter, Vicki L. Decision Support Systems for Business Intelligence. Wiley & Sons, Incorporated, John, 2012.

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47

Francis, Natasha Simone. Diverse Intelligence Systems: Diverse Intelligence Systems for the Beauty Industry. Simone Publishing, Natasha, 2022.

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48

Redbooks, IBM. Business Performance Management . . . Meets Business Intelligence. IBM.Com/Redbooks, 2005.

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49

Perspectives on Business Intelligence. Morgan & Claypool Publishers, 2013.

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50

Perspectives on Business Intelligence. Morgan & Claypool Publishers, 2013.

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