Relevant bibliographies by topics / Databases

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Databases'

Author: Grafiati
Published: 4 June 2021
Last updated: 31 July 2024

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Journal articles on the topic "Databases"

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Kreil, David P., and Thure Etzold. "DATABANKS – a catalogue database of molecular biology databases." Trends in Biochemical Sciences 24, no. 4 (April 1999): 155–57. http://dx.doi.org/10.1016/s0968-0004(99)01363-8.

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Mallikharjuna Rao, N. "An Approach for Intelligent Database Maintenance of HLR and VLR Databases." International Journal of Engineering and Technology 4, no. 5 (2012): 532–36. http://dx.doi.org/10.7763/ijet.2012.v4.426.

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Tengeri, Dávid, and Ferenc Havasi. "Database Slicing on Relational Databases." Acta Cybernetica 21, no. 4 (2014): 629–53. http://dx.doi.org/10.14232/actacyb.21.4.2014.6.

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HAIBARA, Kazuhiro. "Database. 7. Credit information databases." Journal of Information Processing and Management 29, no. 7 (1986): 601–10. http://dx.doi.org/10.1241/johokanri.29.601.

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IBARAKI, Shingo. "Databases. 8. Trademark research database." Journal of Information Processing and Management 29, no. 8 (1986): 687–98. http://dx.doi.org/10.1241/johokanri.29.687.

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OHTAKI, Toshio. "Databases. 9. Meteorological information database." Journal of Information Processing and Management 29, no. 9 (1986): 787–99. http://dx.doi.org/10.1241/johokanri.29.787.

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Finkelstein, S., M. Schkolnick, and P. Tiberio. "Physical database design for relational databases." ACM Transactions on Database Systems 13, no. 1 (March 1988): 91–128. http://dx.doi.org/10.1145/42201.42205.

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Horaitis, Ourania, C. Conover Talbot, Manyphong Phommarinh, Kate M. Phillips, and Richard G. H. Cotton. "A database of locus-specific databases." Nature Genetics 39, no. 4 (April 2007): 425. http://dx.doi.org/10.1038/ng0407-425.

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Nisa, Behjat U. "A Comparison between Relational Databases and NoSQL Databases." International Journal of Trend in Scientific Research and Development Volume-2, Issue-3 (April 30, 2018): 845–48. http://dx.doi.org/10.31142/ijtsrd11214.

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BUREŠ, R. "Microbiological databases and databanks for biotechnology." Kvasny Prumysl 34, no. 11 (November 1, 1988): 331–33. http://dx.doi.org/10.18832/kp1988048.

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Dissertations / Theses on the topic "Databases"

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Chung, Sun S. "Anti-Tamper Databases: Querying Encrypted Databases." online version, 2006. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=case1136677144.

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Bielecki, Pavel. "Distributed relational database system of occasionally connected databases." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2000. http://handle.dtic.mil/100.2/ADA378092.

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Rashid, Awais. "A database evolution approach for object oriented databases." Thesis, Lancaster University, 2001. http://eprints.lancs.ac.uk/11951/.

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Vargas, Herring Luis Carlos. "Integrating databases and publish/subscribe." Thesis, University of Cambridge, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.609151.

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Unnava, Vasundhara. "Query processing in distributed database systems." Connect to resource, 1992. http://rave.ohiolink.edu/etdc/view.cgi?acc%5Fnum=osu1261314105.

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Khayundi, Peter. "A comparison of open source object-oriented database products." Thesis, University of Fort Hare, 2009. http://hdl.handle.net/10353/254.

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Object oriented databases have been gaining popularity over the years. Their ease of use and the advantages that they offer over relational databases have made them a popular choice amongst database administrators. Their use in previous years was restricted to business and administrative applications, but improvements in technology and the emergence of new, data-intensive applications has led to the increase in the use of object databases. This study investigates four Open Source object-oriented databases on their ability to carry out the standard database operations of storing, querying, updating and deleting database objects. Each of these databases will be timed in order to measure which is capable of performing a particular function faster than the other.
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Zhang, Hao. "Querying databases a tale of two C# approaches /." Click here for download, 2010. http://proquest.umi.com.ps2.villanova.edu/pqdweb?did=2019786971&sid=1&Fmt=2&clientId=3260&RQT=309&VName=PQD.

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Hines, Gary L. "From entities to objects : reverse engineering a relational data model into an object-oriented design." Virtual Press, 2000. http://liblink.bsu.edu/uhtbin/catkey/1164846.

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In many software applications, an object-oriented design (OOD) is generated first, then persistent storage is implemented by mapping the objects to a relational database. This thesis explores the "reverse engineering" of an OOD out of an existing relational data model. Findings from the current literature are presented, and a case study is undertaken using the model and research process published by GENTECH, a nonprofit organization promoting genealogical computing. The model is mapped into an OOD and captured in Unified Modeling Language (UML) class diagrams and object collaboration diagrams. The suitability of the example OOD is evaluated against the GENTECH research process using UML use cases and sequence diagrams. The mapping of relational database designs into OODs is found to be suitable in certain instances.
Department of Computer Science
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Moatassem, Nawal N. "A Study of Migrating Biological Data from Relational Databases to NoSQL Databases." Youngstown State University / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=ysu1442486094.

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Aleksic, Mario. "Incremental computation methods in valid and transaction time databases." Thesis, Georgia Institute of Technology, 1996. http://hdl.handle.net/1853/8126.

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Books on the topic "Databases"

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J, Sadalage Pramod, ed. Refactoring databases: Evolutionary database design. Upper Saddle River, NJ, USA: Addison Wesley, 2006.

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1947-, Paredaens Jan, ed. Databases. London: Academic Press, 1987.

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National Library of Medicine (U.S.). NLM online databases and databanks. [Bethesda, Md: U.S. Dept. of Health and Human Services, Public Health Service, National Institutes of Health, 1991.

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National Library of Medicine (U.S.). NLM online databases and databanks. [Bethesda, Md: U.S. Dept. of Health and Human Services, Public Health Service, National Institutes of Health, 1991.

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A, Bell D., ed. Relational databases. Oxford [Oxfordshire]: Pergamon Infotech, 1986.

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Abiteboul, S. Foundations of databases. Reading, Mass: Addison-Wesley, 1995.

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Winslett, Marianne Southall. Updating logical databases. Cambridge: Cambridge University Press, 1990.

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Winslett, Marianne Southall. Updating logical databases. Cambridge: Cambridge University Press, 2005.

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MacInnes, Jeanne. Databases. London: Pitman, 1990.

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Oppel, Andrew J. Databases: A beginner's guide. San Francisco, CA: McGraw-Hill Companies, 2009.

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Book chapters on the topic "Databases"

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Thalheim, Bernhard. "Database Schemes and Databases." In Teubner-Texte zur Mathematik, 7–24. Wiesbaden: Vieweg+Teubner Verlag, 1991. http://dx.doi.org/10.1007/978-3-663-12018-6_1.

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Loubser, Nico. "Databases and Database Design." In Software Engineering for Absolute Beginners, 159–92. Berkeley, CA: Apress, 2021. http://dx.doi.org/10.1007/978-1-4842-6622-9_6.

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Mallach, Efrem G. "Data, Databases, and Database Management." In Information Systems, 115–48. Second edition. | Boca Raton, FL : CRC Press, [2020] |: CRC Press, 2020. http://dx.doi.org/10.1201/9780429061011-5.

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Bungay, Henry R. "Databases." In Environmental Systems Engineering, 61–81. Boston, MA: Springer US, 1998. http://dx.doi.org/10.1007/978-1-4615-5507-0_4.

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Zambon, Giulio. "Databases." In Practical C, 337–74. Berkeley, CA: Apress, 2016. http://dx.doi.org/10.1007/978-1-4842-1769-6_12.

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Benedikt, Michael, and Pierre Senellart. "Databases." In Computer Science, 169–229. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4614-1168-0_10.

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Entwisle, David Christopher. "Databases." In Selective Neck Dissection for Oral Cancer, 1–2. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-12127-7_80-1.

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Park, Seung L., Anil V. Parwani, and Liron Pantanowitz. "Databases." In Practical Informatics for Cytopathology, 25–34. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-9581-9_4.

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Harper, Harriet. "Databases." In Information Technology, 21–25. London: Macmillan Education UK, 1988. http://dx.doi.org/10.1007/978-1-349-11675-1_4.

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Hersh, William R. "Databases." In Information Retrieval: A Health Care Perspective, 61–74. New York, NY: Springer New York, 1996. http://dx.doi.org/10.1007/978-1-4757-2529-2_4.

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Conference papers on the topic "Databases"

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Mallikharjuna Rao, N., M. M. Naidu, and P. Seetharam. "Mobile database modeling using Fuzzy databases." In 2011 International Conference on Emerging Trends in Electrical and Computer Technology (ICETECT 2011). IEEE, 2011. http://dx.doi.org/10.1109/icetect.2011.5760269.

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Fachada, Nuno. "Databases Without Databases: Projects for Including Database Concepts in Interdisciplinary Curricula with LINQ." In ITiCSE 2024: Innovation and Technology in Computer Science Education. New York, NY, USA: ACM, 2024. http://dx.doi.org/10.1145/3649405.3659525.

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Beaubouef, Theresa, and Frederick E. Petry. "Database security issues in rough relational databases." In 2010 42nd Southeastern Symposium on System Theory (SSST 2010). IEEE, 2010. http://dx.doi.org/10.1109/ssst.2010.5442811.

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"Database Schema Elicitation to Modernize Relational Databases." In 14th International Conference on Enterprise Information Systems. SciTePress - Science and and Technology Publications, 2012. http://dx.doi.org/10.5220/0003980801260132.

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Esteva, J. C., and Asad Khailany. "Database reasoning: extracting knowledge from databases (abstract)." In the 1990 ACM annual conference. New York, New York, USA: ACM Press, 1990. http://dx.doi.org/10.1145/100348.100488.

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Pokorný, Jaroslav. "Conceptual and Database Modelling of Graph Databases." In the 20th International Database Engineering & Applications Symposium. New York, New York, USA: ACM Press, 2016. http://dx.doi.org/10.1145/2938503.2938547.

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Yan, Cong, Suman Nath, and Shan Lu. "Generating Test Databases for Database-Backed Applications." In 2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE). IEEE, 2023. http://dx.doi.org/10.1109/icse48619.2023.00173.

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Xirouchakis, Paul C. "Constrained Structural Design Databases." In ASME 1995 15th International Computers in Engineering Conference and the ASME 1995 9th Annual Engineering Database Symposium collocated with the ASME 1995 Design Engineering Technical Conferences. American Society of Mechanical Engineers, 1995. http://dx.doi.org/10.1115/edm1995-0852.

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Abstract The technology of constrained databases (CDBs) is employed in the design of structural design databases. To illustrate the application of CDBs in structural design, the following example is considered in some detail: the design of a database for combined stiffener-plate sectional properties. A major drawback of relational database technology (RDBs) for engineering applications is that constraints cannot be processed within the data model. Another major drawback of the relational data model for engineering applications is that it only can incorporate attributes with discrete value set i.e. it cannot represent effectively variables with a continuous range. To remedy this situation, we propose the use of CDBs which are extended RDBs (so that they retain the advantages of RDBs) that can process arithmetic constraints in both relations and queries. CDBs can represent infinite point sets through the respective constraints on variables with a continuous range. We provide the database schema specification and specification for a number of typical queries for the example problem of combined stiffener-plate sectional properties database. We also specify constraints in the data models that model structural stability and manufacturing constraints.
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Centeno, Martha A., and Charles R. Standridge. "Databases." In the 25th conference. New York, New York, USA: ACM Press, 1993. http://dx.doi.org/10.1145/256563.256710.

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Muntjir, Mohd, Mohd Asadullah, Shabbir Hassan, and Altaf Hussain. "Cloud database systems: A model conversion in databases." In 2014 2nd International Conference on Information Technology and Electronic Commerce (ICITEC). IEEE, 2014. http://dx.doi.org/10.1109/icitec.2014.7105619.

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Reports on the topic "Databases"

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Gandhi, Vijay, James Kang, and Shashi Shekhar. Spatial Databases. Fort Belvoir, VA: Defense Technical Information Center, September 2007. http://dx.doi.org/10.21236/ada473104.

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Bruhn, Mark, Breda Munoz, James Cajka, Gary Smith, Ross Curry, Diane Wagener, and William Wheaton. Synthesized Population Databases: A Geospatial Database of US Poultry Farms. Research Triangle Park, NC: RTI Press, February 2012. http://dx.doi.org/10.3768/rtipress.2012.mr.0023.1201.

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King, Roger. Self-Adaptive Databases. Fort Belvoir, VA: Defense Technical Information Center, July 1988. http://dx.doi.org/10.21236/ada197883.

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Baehr, A., R. Hagstrom, D. Joerg, and R. Overbeek. Querying genomic databases. Office of Scientific and Technical Information (OSTI), September 1991. http://dx.doi.org/10.2172/5191044.

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Kramer, Mitchell. Data Warehouse Databases. Boston, MA: Patricia Seybold Group, March 2003. http://dx.doi.org/10.1571/fw3-6-03cc.

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Wheaton, William, James Cajka, Bernadette Chasteen, Diane Wagener, Philip Cooley, Laxminarayana Ganapathi, Douglas Roberts, and Justine Allpress. Synthesized population databases: A US geospatial database for agent-based models. Research Triangle Park, NC: RTI Press, May 2009. http://dx.doi.org/10.3768/rtipress.2009.mr.0010.0905.

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Korotun, Olha V., Tetiana A. Vakaliuk, and Vladimir N. Soloviev. Model of using cloud-based environment in training databases of future IT specialists. [б. в.], July 2020. http://dx.doi.org/10.31812/123456789/3865.

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The authors substantiates and develops the model of using cloud-based environment (CBE) in the training of databases of future information technology (IT) specialists, which consists of interrelated units: target (purpose, task of using CBE), conceptual (pedagogical approaches, didactic principles), organizational and semantic (characteristics of CBE, basic requirements for CBE, subjects of training, CBE of the teacher, CBE of the student, curricula of institution of higher education, educational-methodical complex of discipline “Databases”, installation and configuration of database management system, development of educational material from the database in electronic form, selection of cloud-based systems of distance learning, introduction of cloud-based systems of distance learning in the training of students’ databases, selection of CBE in database training (databases, forms, methods, tools), evaluative (criteria, indicators, levels of professional and practical competence of future IT specialists on the use of CBE in database training), effective (increased formation of the information and communication technologies of future IT specialists on the use of CBE in database training).
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Clouse, Phillip G., and T. J. Whiteside. Directory of Climatic Databases. Fort Belvoir, VA: Defense Technical Information Center, January 1996. http://dx.doi.org/10.21236/ada304246.

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Baldwin, Jack D. ARI-NTC Mission Databases (Revised for 90-01 Forward Databases) (User's Guide). Fort Belvoir, VA: Defense Technical Information Center, June 1991. http://dx.doi.org/10.21236/ada238640.

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Minero Alejandre, Gemma. Ownership of Databases: Personal Data Protection and Intellectual Property Rights on Databases. Universitätsbibliothek J. C. Senckenberg, Frankfurt am Main, 2021. http://dx.doi.org/10.21248/gups.64578.

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When we think on initiatives on access to and reuse of data, we must consider both the European Intellectual Property Law and the General Data Protection Regulation (GDPR). The first one provides a special intellectual property (IP) right – the sui generis right – for those makers that made a substantial investment when creating the database, whether it contains personal or non-personal data. That substantial investment can be made by just one person, but, in many cases, it is the result of the activities of many people and/or some undertakings processing and aggregating data. In the modern digital economy, data are being dubbed the ‘new oil’ and the sui generis right might be con- sidered a right to control any access to the database, thus having an undeniable relevance. Besides, there are still important inconsistences between IP Law and the GDPR, which must be removed by the European legislator. The genuine and free consent of the data subject for the use of his/her data must remain the first step of the legal analysis.
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