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Articles de revues sur le sujet « Database review »

Auteur : Grafiati

Publié le 4 juin 2021

Mis à jour le 16 février 2022

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1

Kubany, Edward S. "Database review." Journal of Traumatic Stress 8, no. 3 (1995): 491–94. http://dx.doi.org/10.1007/bf02102974.

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Banks, Jane L. "Database review." Journal of Traumatic Stress 8, no. 3 (1995): 495–97. http://dx.doi.org/10.1007/bf02102975.

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Gallaspy, Allison F. "Database review: SimplyAnalytics." Journal of Business & Finance Librarianship 24, no. 1-2 (2019): 54–59. http://dx.doi.org/10.1080/08963568.2019.1645556.

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4

Walton, Deedra J. "Database Review: VisualDx." Journal of Electronic Resources in Medical Libraries 12, no. 2 (2015): 97–104. http://dx.doi.org/10.1080/15424065.2015.1035567.

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Le Sueur, Richard. "MetOpera Database (review)." Notes 63, no. 4 (2007): 906–8. http://dx.doi.org/10.1353/not.2007.0081.

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6

Bayliss, Sue E., and Clare Davenport. "Locating systematic reviews of test accuracy studies: How five specialist review databases measure up." International Journal of Technology Assessment in Health Care 24, no. 04 (2008): 403–11. http://dx.doi.org/10.1017/s0266462308080537.

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Objectives:The aim of this study was to examine location of systematic reviews of test accuracy in five specialist review databases: York CRD's DARE and HTA databases, Medion (University of Maastricht), C-EBLM (International Federation of Clinical Chemistry), and the ARIF in-house database (University of Birmingham).Methods:Searches were limited to the period 1996–2006. Test accuracy reviews were located using in-house diagnostic search filters and with help from database producers where databases were not confined to test accuracy reviews. References were coded according to disease area, revi

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7

Altmyer, Eric, and Martha Earl. "Database Review: PubMed Health." Journal of Electronic Resources in Medical Libraries 10, no. 3 (2013): 132–39. http://dx.doi.org/10.1080/15424065.2013.819712.

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Jenkins, T. "Review: Advanced Database Systems." Computer Bulletin 40, no. 4 (1998): 30–31. http://dx.doi.org/10.1093/combul/40.4.30-b.

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Espe, Sue. "Natural Medicines Database Review." Journal of Electronic Resources in Medical Libraries 13, no. 3 (2016): 143–51. http://dx.doi.org/10.1080/15424065.2016.1225541.

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10

Lindsey, Heather. "Large Database Review Finds." Oncology Times 35, no. 23 (2013): 18–20. http://dx.doi.org/10.1097/01.cot.0000440849.49670.48.

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McTyre, Ruthann Boles. "The Aria Database (review)." Notes 64, no. 2 (2007): 342–44. http://dx.doi.org/10.1353/not.2007.0173.

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Eller, Jack David. "The Anthropology Review Database." Visual Anthropology 23, no. 5 (2010): 464–65. http://dx.doi.org/10.1080/08949468.2010.509006.

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13

NAVNEET KUMAR, KASHYAP, PANDEY B.K, MANDORIA H.L, and KUMAR ASHOK. "A REVIEW OF LEADING DATABASES: RELATIONAL and NON-RELATIONAL DATABASE." i-manager's Journal on Information Technology 5, no. 2 (2016): 34. http://dx.doi.org/10.26634/jit.5.2.6002.

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14

Kumar, Dr Vinod, Gagandeep Raheja, and Sukhpreet Singh. "REVIEW OF DATABASE AND PROMINENT PROGRAMMES." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 4, no. 1 (2013): 48–53. http://dx.doi.org/10.24297/ijct.v4i1a.3035.

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Databases and database systems have become an essential component of everyday life in modern society. In the course of a day, most of us encounter several activities that involve some interaction with a database. For example, if we go to the bank to deposit or withdraw funds, if we make a hotel or airline reservation, if we access a computerized library catalog to search for a bibliographic item, or if we buy some item such as a book, toy, or computer- form on internet vendor through it Web page, there might be chances that our activities will involve someone or some computer program accessing

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15

Sauban Ghani, Syed. "A comprehensive review of database resources in chemistry." Eclética Química Journal 45, no. 3 (2020): 57–68. http://dx.doi.org/10.26850/1678-4618eqj.v45.3.2020.p57-68.

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As scientific community worldwide is publishing a huge number of research articles in various fields; it is necessary to distinguish between databases that are efficient and objective for literature searches. This review offers information on the important points of the database. None of the databases are complete and perfect, but they complement each other. If a library can only afford one, choice must be based on the priorities of institutional needs. The benefits that databases can provide in the preparation of the literature review for developing future studies and dissemination of researc

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16

O'Neil, Dennis. "Software Reviews : Anthropological Database Software: A Review Essay." Social Science Computer Review 7, no. 3 (1989): 353–67. http://dx.doi.org/10.1177/089443938900700311.

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Levay, Paul, Michael Raynor, and Daniel Tuvey. "The Contributions of MEDLINE, Other Bibliographic Databases and Various Search Techniques to NICE Public Health Guidance." Evidence Based Library and Information Practice 10, no. 1 (2015): 50. http://dx.doi.org/10.18438/b82p55.

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Abstract  Objective – To make recommendations for the National Institute for Health and Care Excellence (NICE) on the factors to consider when choosing databases and search techniques when producing systematic reviews to support public health guidance development.  Methods – Retrospective analysis of how the publications included in systematic reviews commissioned by NICE on obesity, spatial planning, and tuberculosis were retrieved. The   included publications were checked to see if they were found from searching MEDLINE, another database or through other s

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18

Wagner, W., B. Plekkenpol, T. E. Gray, H. Vlaskamp, and H. Essers. "Review of Fluvoxamine Safety Database." Drugs 43, Supplement 2 (1992): 48–54. http://dx.doi.org/10.2165/00003495-199200432-00008.

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19

Kumar, Kunal, and Sachindra Kumar. "Relational Database Design: A Review." International Journal of Computer Applications 176, no. 6 (2017): 14–18. http://dx.doi.org/10.5120/ijca2017915626.

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20

Pharkya, Priti, Evgeni V. Nikolaev, and Costas D. Maranas. "Review of the BRENDA Database." Metabolic Engineering 5, no. 2 (2003): 71–73. http://dx.doi.org/10.1016/s1096-7176(03)00008-9.

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21

Leonard, Kelsey, and Cynthia J. Vaughn. "Database Review: ACP Smart Medicine." Journal of Electronic Resources in Medical Libraries 11, no. 1 (2014): 13–20. http://dx.doi.org/10.1080/15424065.2014.876581.

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22

Jackson, M. "Review: The Object Database Handbook." Computer Bulletin 39, no. 1 (1997): 27. http://dx.doi.org/10.1093/combul/39.1.27.

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23

Thomas, D. "Review: Database Modeling and Design." Computer Bulletin 41, no. 6 (1999): 29. http://dx.doi.org/10.1093/combul/41.6.29.

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24

Franklin, G. "Review: Database Systems (Second Edition)." Computer Bulletin 43, no. 1 (2001): 30. http://dx.doi.org/10.1093/combul/43.1.30.

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25

Moth, D. "Review: Database Programming with C#." Computer Bulletin 44, no. 6 (2002): 30. http://dx.doi.org/10.1093/combul/44.6.30-b.

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Franklin, G. "Review: Database Systems - Third Edition." Computer Bulletin 46, no. 3 (2004): 31. http://dx.doi.org/10.1093/combul/46.3.31-a.

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27

Zhou, Wanhuai, Yibin Ying, and Lijuan Xie. "Spectral Database Systems: A Review." Applied Spectroscopy Reviews 47, no. 8 (2012): 654–70. http://dx.doi.org/10.1080/05704928.2012.700668.

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28

Brodie, Michael, Charles Kellogg, D. Stott Parker, Gio Wiederhold, Carlo Zaniolo, and Larry Kerschberg. "Expert database systems (workshop review)." ACM SIGMOD Record 14, no. 4 (1985): 414–17. http://dx.doi.org/10.1145/971699.318991.

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29

Adhikari, Animesh, Lakhmi C. Jain, and Bhanu Prasad. "A State-of-the-Art Review of Knowledge Discovery in Multiple Databases." Journal of Intelligent Systems 26, no. 1 (2017): 23–34. http://dx.doi.org/10.1515/jisys-2015-0154.

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AbstractKnowledge discovery in multiple databases offers many opportunities and challenges. We have given a number of motivating points on knowledge discovery in multiple databases. In view of further studies on this aspect, we highlight some domains that generated numerous problems on multiple related databases. Activities related to data preprocessing in a multi-database mining environment are also discussed. Important techniques of mining multiple databases are outlined. Many interesting patterns that originated out of multi-database environments are highlighted. We shall witness more resea

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30

Muley, Abhinav. "Global Data Fusion versus Local Pattern Fusion in Mining Multiple Databases: A Comparative Review." Journal of Computational and Theoretical Nanoscience 17, no. 9 (2020): 3844–49. http://dx.doi.org/10.1166/jctn.2020.9046.

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With the emergence of big data, mining distributed databases has become a critical task in the domain of discovery of knowledge from databases. Many of the traditional multiple-database mining methods developed until now have emphasized mining the mono-database, which is a pool of all the local databases merged at a central site; local patterns discovered at local sites are not analyzed in mono-database mining. However, in real-world applications, data collected from multiple databases may be duplicitous and unreliable. Therefore, developing methods to discover reliable, high-quality knowledge

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31

Samra, Halima E., Alice S. Li, Ben Soh, and Mohammed A. AlZain. "Review of Contemporary Database Design and Implication for Big Data." International Journal of Smart Education and Urban Society 12, no. 4 (2021): 1–11. http://dx.doi.org/10.4018/ijseus.2021100101.

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In general, databases provide a single comprehensive view suitable for analysis and relevant information for a variety of organizational purposes. The intent of this paper is to review the contemporary database design in terms of data modelling, process modelling, relational databases, and data storage. The review indicates the contemporary relational database architecture provides numerous advantages such as high consistency and availability. However, it is not suitable for big data because its performance decreases as the data grows and faces scalability constraints as it is impossible to sc

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32

Therasa, M., S. M. Poonkuzhali, M. Santhana Joyce, and S. Annie Shery. "Review on Upcoming Innovative Technology in Big Data." International Journal of Engineering & Technology 7, no. 1.9 (2018): 306. http://dx.doi.org/10.14419/ijet.v7i1.9.12695.

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This paper is a survey of the big data idea, its measurements, its design correlation between the prior idea and the most recent, the capacity conceivable i.e. the databases and starting point of enormous information. The social database, having unbending pattern, has been winning since quite a while yet it is hard to store the unstructured information in social database. The unstructured information has principally message nature or is as logs. Here comes the idea of No SQL databases. Enormous Data is little information with huge information estimate.

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33

PELEKIS, NIKOS, BABIS THEODOULIDIS, IOANNIS KOPANAKIS, and YANNIS THEODORIDIS. "Literature review of spatio-temporal database models." Knowledge Engineering Review 19, no. 3 (2004): 235–74. http://dx.doi.org/10.1017/s026988890400013x.

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Recent efforts in spatial and temporal data models and database systems have attempted to achieve an appropriate kind of interaction between the two areas. This paper reviews the different types of spatio-temporal data models that have been proposed in the literature as well as new theories and concepts that have emerged. It provides an overview of previous achievements within the domain and critically evaluates the various approaches through the use of a case study and the construction of a comparison framework. This comparative review is followed by a comprehensive description of the new lin

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34

Arif, Shereena, and Nurul Malim. "Search Expression Database Drug: A Review." Asia-Pacific Journal of Information Technology and Multimedia 02, no. 01 (2013): 39–47. http://dx.doi.org/10.17576/apjitm-2013-0201-04.

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35

John, Roy. ""The Nearctic Spider Database" [website review]." Canadian Field-Naturalist 123, no. 1 (2009): 77. http://dx.doi.org/10.22621/cfn.v123i1.651.

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36

Praveen, Shagufta, Umesh Chandra, and Arif Ali. "A Literature Review on Evolving Database." International Journal of Computer Applications 162, no. 9 (2017): 35–41. http://dx.doi.org/10.5120/ijca2017913365.

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37

Feldman, Beverly. "Database Directories: Review and Recent Developments." Reference Services Review 13, no. 2 (1985): 17–19. http://dx.doi.org/10.1108/eb048898.

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38

Michaels, J. A., and H. E. Ashurst. "Software Review: Atrium Patient Database Software." European Journal of Vascular and Endovascular Surgery 18, no. 6 (1999): 549. http://dx.doi.org/10.1053/ejvs.1999.0957.

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39

Press, Gerald A. (Gerald Alan). "The Database of Classical Bibliography (review)." Journal of the History of Philosophy 36, no. 4 (1998): 619. http://dx.doi.org/10.1353/hph.2008.0854.

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40

Leonard, Kelsey. "Medical Device Recalls Database: A Review." Journal of Electronic Resources in Medical Libraries 12, no. 4 (2015): 216–19. http://dx.doi.org/10.1080/15424065.2015.1099383.

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P.Shrishrimal, Pukhraj, Ratnadeep R. Deshmukh, and Vishal B. Waghmare. "Indian Language Speech Database: A Review." International Journal of Computer Applications 47, no. 5 (2012): 17–21. http://dx.doi.org/10.5120/7184-9893.

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42

Bradford Lee Eden. "Motet Online Database (review)." Notes 66, no. 4 (2010): 832–34. http://dx.doi.org/10.1353/not.0.0363.

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Matthews, Jennifer. "Internet Broadway Database (review)." Notes 68, no. 1 (2011): 151–53. http://dx.doi.org/10.1353/not.2011.0133.

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44

Anderson, Steve. "Soft Cinema: Navigating the Database (review)." Moving Image 6, no. 1 (2006): 136–39. http://dx.doi.org/10.1353/mov.2006.0002.

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Burns, Al. "Review of Database of Marketing Research." Marketing Education Review 3, no. 1 (1993): 59. http://dx.doi.org/10.1080/10528008.1993.11488401.

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Wells, Veronica A. "Concert Programmes Database (review)." Notes 68, no. 1 (2011): 145–47. http://dx.doi.org/10.1353/not.2011.0101.

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47

Whiteford, Peter. "Acta Sanctorum Database (review)." Parergon 19, no. 2 (2002): 169–71. http://dx.doi.org/10.1353/pgn.2002.0078.

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Prof. Rahul Rishi, Anupriya. "Review of Fuzzy Logical Database Models." IOSR Journal of Computer Engineering 8, no. 4 (2013): 24–34. http://dx.doi.org/10.9790/0661-0842434.

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Kroeker, K. L. "Poet software's object database [Book Review]." Computer 33, no. 8 (2000): 98. http://dx.doi.org/10.1109/mc.2000.863984.

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50

Wysocki, Tim. "Review of Papyrus bibliographic database software." Research in Developmental Disabilities 10, no. 4 (1989): 451–57. http://dx.doi.org/10.1016/0891-4222(89)90045-0.

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