Книги з теми "Rules database"

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1

Paton, Norman W., and M. Howard Williams, eds. Rules in Database Systems. London: Springer London, 1994. http://dx.doi.org/10.1007/978-1-4471-3225-7.

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2

Geppert, Andreas, and Mikael Berndtsson, eds. Rules in Database Systems. Berlin, Heidelberg: Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/3-540-63516-5.

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3

Sellis, Timos, ed. Rules in Database Systems. Berlin, Heidelberg: Springer Berlin Heidelberg, 1995. http://dx.doi.org/10.1007/3-540-60365-4.

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4

Paton, Norman W., ed. Active Rules in Database Systems. New York, NY: Springer New York, 1999. http://dx.doi.org/10.1007/978-1-4419-8656-6.

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5

International Workshop on Rules in Database Systems (1st 1993 Edinburgh, Scotland). Rules in database systems: Proceedings of the 1st International Workshop on Rules in Database Systems, Edinburgh, Scotland, 30 August-1 September 1993. London: Springer-Verlag, 1994.

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6

Paton, Norman W. Rules in Database Systems: Proceedings of the 1st International Workshop on Rules in Database Systems, Edinburgh, Scotland, 30 August-1 September 1993. London: Springer London, 1994.

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7

Moran, Patrick. Capt uring distributed database design rules in an expert shell. London: University of East London, 1993.

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8

Moran, Patrick. Capt uring distributed database design rules in an expert shell. London: University of East London, 1993.

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9

Andreas, Geppert, and Berndtsson Mikael 1967-, eds. Rules in database systems: Third international workshop, RIDS '97, Skövde, Sweden, June 26-28, 1997 : proceedings. Berlin: Springer, 1997.

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10

Chisholm, Malcolm. How to build a business rules engine: Extending application functionality through metadata engineering. Amsterdam: Morgan Kaufmann, 2004.

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11

International Workshop on Rules in Database Systems (2nd 1995 Athens, Greece). Rules in database systems: Second international workshop, RIDS '95, Glyfada, Athens, Greece, September 25-27, 1995 : proceedings. Berlin: Springer, 1995.

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12

Wu, Bing. An approach to integrate declarative conceptual integrity rules into database systems with an active mechanism. Manchester: UMIST, 1996.

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13

Data Mining for Association Rules and Sequential Patterns: Sequential and Parallel Algorithms. New York, NY: Springer New York, 2001.

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14

Newell, Frederick. The new rules of marketing: How to use one-to-one relationship marketing to be the leader in your industry. New York: McGraw-Hill, 1997.

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15

Office, General Accounting. DOD animal research: Improvements needed in quality of biomedical research database : report to congressional committees. Washington, D.C: The Office, 1998.

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16

Business rule concepts: Getting to the point of knowledge. 3rd ed. [Houston, Tex.]: Business Rule Solutions, 2009.

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17

Business rule concepts: The new mechanics of business information systems. [Houston, Tex.]: Business Rule Solutions, 1998.

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18

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.
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19

iRODS primer: Integrated rule-oriented data system. San Rafael, Calif. (1537 Fourth Street, San Rafael, CA 94901 USA): Morgan & Claypool Publishers, 2010.

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20

Atilola, Abiola. Integrity rules in modern databases. London: University of East London, 1996.

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21

Office, General Accounting. U.S. Customs Service: Prospective rulings more timely, but database reliability questions remain : report to congressional requesters. Washington, D.C: GAO, 2003.

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22

Adrian, Giurca, and SpringerLink (Online service), eds. Rules on the Web: Research and Applications: 6th International Symposium, RuleML 2012, Montpellier, France, August 27-29, 2012. Proceedings. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.

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23

United States. Congress. House. Committee on Oversight and Government Reform. The Federal Trade Commission and its Section 5 authority: Prosecutor, judge, and jury : hearing before the Committee on Oversight and Government Reform, House of Representatives, One Hundred Thirteenth Congress, second session, July 24, 2014. Washington: U.S. Government Printing Office, 2014.

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24

United States. Congress. Senate. Committee on Banking, Housing, and Urban Affairs. Oversight of financial stability and data security: Hearing before the Committee on Banking, Housing, and Urban Affairs, United States Senate, One Hundred Thirteenth Congress, second session, on examining regulatory efforts to improve financial stability and data security regulatory standards, updating the finalization of the "Volcker Rule", and receiving a progress report on other rules required by the Dodd-Frank Wall Street Reform and Consumer Protection Act, February 6, 2014. Washington: U.S. Government Printing Office, 2014.

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25

Office, General Accounting. Preparing, documenting, and referencing microcomputer data base applications. [Washington, D.C.]: The Division, 1991.

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26

Business rule-oriented conceptual modeling. Heidelberg: Physica-Verlag, 1997.

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27

Knapton, Michael, John Easton Law, and Alison A. Smith, eds. Venice and the Veneto during the Renaissance: the Legacy of Benjamin Kohl. Florence: Firenze University Press, 2015. http://dx.doi.org/10.36253/978-88-6655-663-3.

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Анотація:
Benjamin G. Kohl (1938-2010) taught at Vassar College from 1966 till his retirement as Andrew W. Mellon Professor of the Humanities in 2001. His doctoral research at The Johns Hopkins University was directed by Frederic C. Lane, and his principal historical interests focused on northern Italy during the Renaissance, especially on Padua and Venice. His scholarly production includes the volumes Padua under the Carrara, 1318-1405 (1998), and Culture and Politics in Early Renaissance Padua (2001), and the online database The Rulers of Venice, 1332-1524 (2009). The database is eloquent testimony of his priority attention to historical sources and to their accessibility, and also of his enthusiasm for collaboration and sharing among scholars.
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28

Denneheuvel, Sieger van. Constraint solving on data base systems: Design and implementation of the rule language RL/1. [Netherlands: s.n., 1991.

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29

Kazienko, Przemysław. Associations: Discovery, analysis and applications. Wrocław: Oficyna Wydawnicza Politechniki Wrocławskiej, 2008.

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30

Olken, Frank. Rule - Based Modeling and Computing on the Semantic Web: 5th International Symposium, RuleML 2011– America, Ft. Lauderdale, FL, Florida, USA, November 3-5, 2011. Proceedings. Berlin, Heidelberg: Springer-Verlag GmbH Berlin Heidelberg, 2011.

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31

United States. Congress. Senate. Committee on Homeland Security and Governmental Affairs. Curbing federal agency waste and fraud: New steps to strengthen the integrity of federal payments : hearing before the Committee on Homeland Security and Governmental Affairs, United States Senate, One Hundred Thirteenth Congress, first session, May 8, 2013. Washington: U.S. Government Printing Office, 2014.

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32

Office, General Accounting. Small business administration: Model for 7(a) program subsidy had reasonable equations, but inadequate documentation hampered external reviews : report to Congressional Committees. Washington, D.C: U.S. General Accounting Office, 2004.

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33

Office, General Accounting. Small Business Administration: New service for lender oversight reflects some best practices, but strategy for use lags behind : report to the Chair, Committee on Small Business and Entrepreneurship, U.S. Senate. Washington, D.C: GAO, 2004.

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34

Office, General Accounting. Small Business Administration: Actions needed to strengthen small business lending company oversight : report to the chairman, Committee on Small Business, U.S. Senate. Washington, D.C. (P.O. Box 37050, Washington 20013): GAO, 2000.

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35

Office, General Accounting. Small Business Administration: Current structure presents challenges for service delivery : report to Congressional Committees. Washington, D.C. (P.O. Box 37050, Washington 20013): GAO, 2001.

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36

Office, General Accounting. Small Business Administration: Accounting anomalies and limited operational data make results of loan sales uncertain : report to the Ranking Minority Member,Committee on Small Business and Entrepreneurship, U.S. Senate. Washington, D.C: GAO, 2003.

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37

Office, General Accounting. Small Business Administration: Status of achieving key outcomes and addressing major management challenges : report to the Ranking Minority Member, Committee on Governmental Affairs, U.S. Senate. Washington, D.C: GAO, 2001.

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38

Office, General Accounting. Small Business Administration: Progress made, but transformation could benefit from practices emphasizing transparency and communicaton : report to congressional requesters. Washington, D.C: GAO, 2003.

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39

Office, General Accounting. Environmental cleanup: Case studies of six high priority DOD installations : report to the Chairman, Committee on Governmental Affairs, U.S. Senate. Washington, D.C: The Office, 1994.

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40

Office, General Accounting. Environmental cleanup: Better communication needed for dealing with formerly used defense sites in Guam : report to congressional requesters. Washington, D.C. (441 G Street NW, Room LM, Washington 20548): U.S. GAO, 2002.

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41

Office, General Accounting. Environmental cleanup: Defense funding allocation process and reported funding impacts : report to the Honorable Scott Klug, House of Representatives. Washington, D.C. (P.O. Box 37050, Washington, D.C. 20013): The Office, 1998.

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42

Office, General Accounting. Environmental cleanup: Progress in resolving long-standing issues at the Rocky Mountain Arsenal : report to Congressional requesters. Washington, D.C: U.S. General Accounting Office, 1996.

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43

Office, General Accounting. Environmental cleanup: Defense indemnification for contractor operations : report to the Chairman, Legislation and National Security Subcommittee, Committee on Government Operations, House of Representatives. Washington, D.C: The Office, 1994.

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44

Office, General Accounting. Environmental cleanup: Case studies of six high priority DOD installations : report to the Chairman, Committee on Governmental Affairs, U.S. Senate. Washington, D.C: The Office, 1994.

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45

Office, General Accounting. Environmental cleanup: Defense indemnification for contractor operations : report to the Chairman, Legislation and National Security Subcommittee, Committee on Government Operations, House of Representatives. Washington, D.C. (P.O. Box 37050, Washington 20013): The Office, 1994.

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46

Office, General Accounting. Environmental cleanup: Observations on consistency of reimbursements to DOD contractors : report to congressional requesters. Washington, D.C: GAO, 1992.

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47

Office, General Accounting. Environmental cleanup: Better data needed for radioactively contaminated Defense sites : report to the Chairman, Committee on Governmental Affairs, U.S. Senate. Washington, D.C: U.S. General Accounting Office, 1994.

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48

Office, General Accounting. Coast Guard: Additional actions needed to improve cruise ship safety : report to Congressional requesters. Washington, D.C: The Office, 1993.

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49

Jennifer, Widom, and Ceri Stefano 1955-, eds. Active database systems: Triggers and rules for advanced database processing. San Francisco, Calif: Morgan Kaufmann Publishers, 1995.

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50

W, Paton Norman, ed. Active rules in database systems. New York: Springer, 1999.

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