Книги з теми "Network management models"

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1

Pentico, David W. Management science: Mathematical programming and network models. Fort Worth: Harcourt Brace Jovanovich College Publishers, 1992.

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2

Tavares, L. Valadares. Advanced models for project management. Boston, MA: Kluwer Academic Publishers, 1999.

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3

Bhattarakosol, Pattarasinee. Intelligent quality of service technologies and network management: Models for enhancing communication. Hershey, PA: Information Science Reference, 2010.

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4

Borzemski, Leszek. Information systems architecture and technology: Information models, concepts, tools and applications. Wrocław: Oficyna Wydawnicza Politechniki Wrocławskiej, 2006.

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5

Kosecki, Andrzej. Stochastyczne modele sieciowe przy planowaniu zadań budowlanych. Kraków: Politechnika Krakowska, 1989.

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6

Dioguardi, Gianfranco. Network enterprises: The evolution of organizational models from guilds to assembly lines to innovation clusters. New York: Springer, 2010.

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7

International, Conference on FRIEND (3rd 1997 Postojna Slovenia). FRIEND'97: Regional hydrology : concepts and models for sustainable water resource management. Wallingford: International Association of Hydrological Sciences, 1997.

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8

Schöbel, Anita. Optimization in public transportation: Stop location, delay management and tariff zone design in a public transportation network. New York: Springer, 2006.

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9

Wallace, Brett Patrick. Evaluation of travel demand management strategies in the trip generation phase of a network-based modeling approach. [Olympia]: Washington State Dept. of Transportation, 1998.

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10

Poland) ISAT Scientific School (25th 2004 Wrocław. Information systems architecture and technology, ISAT 2004: Proceedings of the 25th International Scientific School : information models, concepts, tools and applications. Edited by Grzech Adam, Wilimowska Zofia, and Politechnika Wrocławska. Wrocław: Oficyna Wydawnicza Politechniki Wrocławskiej, 2004.

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11

Boniol, Don P. Evaluation of Upper Floridan Aquifer water quality to design a monitoring network in the St. Johns River Water Management District. Palatka, Fla: St. Johns River Water Management District, 2002.

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12

Magedanz, Thomas. An integrated management model for intelligent networks. Munich: R. Oldenbourg, 1994.

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13

Network, Canadian Model Forest. Canadian Model Forest Network achievements. [Ottawa]: Natural Resources Canada, 2006.

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14

Bapat, Subodh. Object-oriented networks: Models for architecture, operations, and management. Englewood Cliffs, N.J: P T R Prentice Hall, 1994.

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15

Dziong, Zbigniew. ATM network resource management. New York: McGraw-Hill, 1997.

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16

Varlamov, Oleg. Mivar databases and rules. ru: INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1508665.

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Анотація:
The multidimensional open epistemological active network MOGAN is the basis for the transition to a qualitatively new level of creating logical artificial intelligence. Mivar databases and rules became the foundation for the creation of MOGAN. The results of the analysis and generalization of data representation structures of various data models are presented: from relational to "Entity — Relationship" (ER-model). On the basis of this generalization, a new model of data and rules is created: the mivar information space "Thing-Property-Relation". The logic-computational processing of data in this new model of data and rules is shown, which has linear computational complexity relative to the number of rules. MOGAN is a development of Rule - Based Systems and allows you to quickly and easily design algorithms and work with logical reasoning in the "If..., Then..." format. An example of creating a mivar expert system for solving problems in the model area "Geometry"is given. Mivar databases and rules can be used to model cause-and-effect relationships in different subject areas and to create knowledge bases of new-generation applied artificial intelligence systems and real-time mivar expert systems with the transition to"Big Knowledge". The textbook in the field of training "Computer Science and Computer Engineering" is intended for students, bachelors, undergraduates, postgraduates studying artificial intelligence methods used in information processing and management systems, as well as for users and specialists who create mivar knowledge models, expert systems, automated control systems and decision support systems. Keywords: cybernetics, artificial intelligence, mivar, mivar networks, databases, data models, expert system, intelligent systems, multidimensional open epistemological active network, MOGAN, MIPRA, KESMI, Wi!Mi, Razumator, knowledge bases, knowledge graphs, knowledge networks, Big knowledge, products, logical inference, decision support systems, decision-making systems, autonomous robots, recommendation systems, universal knowledge tools, expert system designers, logical artificial intelligence.
17

Benantar, Messaoud. Access control systems: Security, identity, management, and trust models. New York: Springer, 2005.

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18

Collinet, Julio Córdoba. Modelos sistémicos de programación. San José, Costa Rica: Instituto Centroamericano de Adminstración Pública, 1988.

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19

Pan, Heng. SNMP-based ATM network management. Boston: Artech House, 1998.

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20

Akkar, Sinan. Earthquake Data in Engineering Seismology: Predictive Models, Data Management and Networks. Dordrecht: Springer Science+Business Media B.V., 2011.

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21

Secundo, Giustina. Dynamic Learning Networks: Models and Cases in Action. Boston, MA: Springer-Verlag US, 2009.

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22

Chang, Yan Ho Frank. The development and specification of an ATM network resource management information model. Ottawa: National Library of Canada, 1996.

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23

Kumar, G. Prem. ATM network fault management using realistic abductive reasoning. Bangalore: Dept. of Electrical Communication Engineering, Indian Institute of Science, 1997.

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24

Varlamov, Oleg. Fundamentals of creating MIVAR expert systems. ru: INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1513119.

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Анотація:
Methodological and applied issues of the basics of creating knowledge bases and expert systems of logical artificial intelligence are considered. The software package "MIV Expert Systems Designer" (KESMI) Wi!Mi RAZUMATOR" (version 2.1), which is a convenient tool for the development of intelligent information systems. Examples of creating mivar expert systems and several laboratory works are given. The reader, having studied this tutorial, will be able to independently create expert systems based on KESMI. The textbook in the field of training "Computer Science and Computer Engineering" is intended for students, bachelors, undergraduates, postgraduates studying artificial intelligence methods used in information processing and management systems, as well as for users and specialists who create mivar knowledge models, expert systems, automated control systems and decision support systems. Keywords: cybernetics, artificial intelligence, mivar, mivar networks, databases, data models, expert system, intelligent systems, multidimensional open epistemological active network, MOGAN, MIPRA, KESMI, Wi!Mi, Razumator, knowledge bases, knowledge graphs, knowledge networks, Big knowledge, products, logical inference, decision support systems, decision-making systems, autonomous robots, recommendation systems, universal knowledge tools, expert system designers, logical artificial intelligence.
25

Piber, Martin. Die integrierte Organisation: Ein dreidimensionales Modell zum Management kooperativer Unternehmensnetzwerke. Frankfurt am Main: P. Lang, 2000.

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26

Pablos, Ordóñez de. Web 2.0: The Business Model. Boston, MA: Springer-Verlag US, 2009.

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27

Dmitrieva, Nina, Nataliya Zayceva, and Svetlana Ogneva. Hotel management. ru: INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/978913.

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Examines the development and modern concepts of hotel management — system, process and situational approaches. Describes the features of hospitality management related to the organization of the network business, using franchising and management companies. Given numerous examples from the practice of Russian and foreign enterprises of hotel business. Meets the requirements of Federal state educational standards of higher education of the last generation. For students enrolled in the specialty "Hospitality", as well as graduate students, professors from specialized higher education institutions, listeners of professional retraining programs of employees of the enterprises of hotel business.
28

Golway, Tom. Planning and managing ATM networks. Greenwich, Conn: Manning, 1997.

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29

Cheglov, Vyacheslav. Trade business. Economics and management of retail chains. ru: INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1056723.

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The textbook summarizes the author's twenty-year experience in such large network trading companies as Klass, PFC BIN, and X5 Retail Group. It is written in accordance with the curriculum and educational and methodological complex for the discipline "Economic activity of retail chains", which is part of the cycle of academic disciplines of the master's program "Organization and technology of trade business", direction "trade business". Covers a wide range of issues related to the theory and practice of network retail enterprises. Introduces readers to the forms of network business organization in retail, modern formats of retail trade, the organization of the trading process on the network principle and its features, current regulatory legal acts regulating the activities of network retail companies. Meets the requirements of Federal state educational standards of higher education of the latest generation. For students of economic and trade universities, students of universities and training centers of retail trading companies, managers engaged in retail.
30

Barth, Christopher D. Convergence of libraries and technology organizations: New information support models. Oxford: Chandos, 2011.

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31

Bogomolov, A. I. Modeli, standarty i tekhnologii vzaimodeĭstvii︠a︡ v informat︠s︡ionnom obshchestve: Monografii︠a︡. Moskva: Finakademii︠a︡, 2010.

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32

Lovász, László. Large networks and graph limits. Providence, Rhode Island: American Mathematical Society, 2012.

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33

IEEE International Conference on Networks (10th 2002 Singapore). 10th IEEE International Conference on Networks: (ICON 2002) : Towards network superiority : proceedings : August 27-30, 2002, Grand Copthorne Waterfront, Singapore. Piscataway, N.J: IEEE, 2002.

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34

Becker, Jörg. Reference modeling: Efficient information systems design through reuse of information models. Heidelberg: Physica Verlag, 2007.

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35

Becker, Jörg. Reference modeling: Efficient information systems design through reuse of information models. Heidelberg: Physica Verlag, 2007.

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36

Shitov, Viktor. Information content management. ru: INFRA-M Academic Publishing LLC., 2022. http://dx.doi.org/10.12737/1842520.

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The textbook describes methods of ensuring quality and compliance with legislation when publishing content, the legislation of the Russian Federation in the field of intellectual property, rules for the use of information materials on the Internet, general principles of differentiation of access rights to information on the Internet, ensuring information security, types of spam and unwanted content, methods and means of combating them, technologies for managing, processing and modifying content, technologies for transmitting information on the network, duties of a moderator of a website / forum / resource, and much more. Meets the requirements of the federal state educational standards of secondary vocational education of the latest generation. For students of secondary vocational education institutions. It can be used when mastering the professional module "Information resources Administration" in the discipline "Information content Management" for the specialty "Information systems and programming" when mastering the qualification "Information Resources Specialist".
37

Mirbach, Martin von. A user's guide to local level indicators of sustainable forest management: Experiences from the Canadian Model Forest Network. Ottawa: Canada's Model Forest Program, Natural Resources Canada, Canadian Forest Service, 2000.

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38

E, Fenton Norman. Risk assessment and decision analysis with Bayesian networks. Boca Raton: Taylor & Francis, 2012.

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39

Hua, Rong. Cong Modbus dao tou ming jiu xu: Shinaide dian qi gong ye wang luo de xie yi, she ji, an zhuang he ying yong. 8th ed. Beijing Shi: Ji xie gong ye chu ban she, 2009.

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40

Giroux, Natalie. Quality of service in ATM networks: State-of-the-art traffic management. Upper Saddle River, NJ: Prentice Hall, 1999.

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41

IEEE, International Conference on Networks (8th 2000 National University of Singapore Singapore). Proceedings: ICON 2000 : networking trends and challenges in the new millennium : September 5-8, 2000, National University of Singapore, Singapore ; organized by IEEE Singapore Computer Chapter, Professional Activities Center of the National University of Singapore ; in cooperation with Nanyang Technological University, Singapore ; edited by Chen-Khong Tham, Liren Zhang. Los Alamitos, Calif: IEEE Computer Society, 2000.

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42

Canadian Model Forest Network's Partnership Meeting (1999 Halifax, N.S.). Proceedings of the Canadian Model Forest Network's Partnership Meeting, Halifax, N.S., September 8-9, 1999. Ottawa: Canadian Forest Service, 2000.

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43

Jain, Raj. Design issues for traffic management for the ATM UBR+ service for TCP over satellite networks. [Cleveland, Ohio]: Glenn Research Center, National Aeronautics and Space Administration, 1999.

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44

Scheidler, Michael. Discrete Choice Models for Airline Network Management. Schulz-Kirchner, Idstein, 2002.

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45

Tavares, L. Valadares. Advanced Models for Project Management. Springer, 2012.

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46

Pattarasinee, Bhattarakosol, ed. Intelligent quality of service technologies and network management: Models for enhancing communication. Hershey, PA: Information Science Reference, 2010.

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47

Pattarasinee, Bhattarakosol, ed. Intelligent quality of service technologies and network management: Models for enhancing communication. Hershey, PA: Information Science Reference, 2010.

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48

Jide, Odubiyi, and United States. National Aeronautics and Space Administration., eds. Earth-Mars Telecommunications and Information Management System (TIMS): Antenna visibility determination, network simulation, and management models. [Washington, D.C.]: National Aeronautics and Space Administration, 1996.

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49

Jide, Odubiyi, and United States. National Aeronautics and Space Administration., eds. Earth-Mars Telecommunications and Information Management System (TIMS): Antenna visibility determination, network simulation, and management models. [Washington, D.C.]: National Aeronautics and Space Administration, 1996.

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50

Jide, Odubiyi, and United States. National Aeronautics and Space Administration., eds. Earth-Mars Telecommunications and Information Management System (TIMS): Antenna visibility determination, network simulation, and management models. [Washington, D.C.]: National Aeronautics and Space Administration, 1996.

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