Relevant bibliographies by topics / Databases and database Networking

Academic literature on the topic 'Databases and database Networking'

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Published: 10 March 2023

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Journal articles on the topic "Databases and database Networking"

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Burghardt, Kyle J., Bradley H. Howlett, Audrey S. Khoury, Stephanie M. Fern, and Paul R. Burghardt. "Three Commonly Utilized Scholarly Databases and a Social Network Site Provide Different, But Related, Metrics of Pharmacy Faculty Publication." Publications 8, no. 2 (April 1, 2020): 18. http://dx.doi.org/10.3390/publications8020018.

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Scholarly productivity is a critical component of pharmacy faculty effort and is used for promotion and tenure decisions. Several databases are available to measure scholarly productivity; however, comparisons amongst these databases are lacking for pharmacy faculty. The objective of this work was to compare scholarly metrics from three commonly utilized databases and a social networking site focused on data from research-intensive colleges of pharmacy and to identify factors associated with database differences. Scholarly metrics were obtained from Scopus, Web of Science, Google Scholar, and ResearchGate for faculty from research-intensive (Carnegie Rated R1, R2, or special focus) United States pharmacy schools with at least two million USD in funding from the National Institutes of Health. Metrics were compared and correlations were performed. Regression analyses were utilized to identify factors associated with database differences. Significant differences in scholarly metric values were observed between databases despite the high correlations, suggestive of systematic variation in database reporting. Time since first publication was the most common factor that was associated with database differences. Google Scholar tended to have higher metrics than all other databases, while Web of Science had lower metrics relative to other databases. Differences in reported metrics between databases are apparent, which may be attributable to the time since first publication and database coverage of pharmacy-specific journals. These differences should be considered by faculty, reviewers, and administrative staff when evaluating scholarly performance.
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Lance, G. N. "Networking databases: a user's perspective." Serials: The Journal for the Serials Community 5, no. 2 (July 1, 1992): 47–51. http://dx.doi.org/10.1629/050247.

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A.Sinduja, A. Sinduja, Fahad Iqbal, and A. Siva subramanian. "Information based Networking and Database for Manufacturing with Ambient Intelligence." Global Journal For Research Analysis 3, no. 7 (June 15, 2012): 89–91. http://dx.doi.org/10.15373/22778160/july2014/31.

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Wang, Ruihong, Jianguo Wang, Stratos Idreos, M. Tamer Özsu, and Walid G. Aref. "The case for distributed shared-memory databases with RDMA-enabled memory disaggregation." Proceedings of the VLDB Endowment 16, no. 1 (September 2022): 15–22. http://dx.doi.org/10.14778/3561261.3561263.

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Memory disaggregation (MD) allows for scalable and elastic data center design by separating compute (CPU) from memory. With MD, compute and memory are no longer coupled into the same server box. Instead, they are connected to each other via ultra-fast networking such as RDMA. MD can bring many advantages, e.g., higher memory utilization, better independent scaling (of compute and memory), and lower cost of ownership. This paper makes the case that MD can fuel the next wave of innovation on database systems. We observe that MD revives the great debate of "shared what" in the database community. We envision that distributed shared-memory databases (DSM-DB, for short) - that have not received much attention before - can be promising in the future with MD. We present a list of challenges and opportunities that can inspire next steps in system design making the case for DSM-DB.
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Detti, Andrea, Giulio Rossi, and Nicola Blefari Melazzi. "Exploiting Information-Centric Networking to Federate Spatial Databases." IEEE Access 7 (2019): 165248–61. http://dx.doi.org/10.1109/access.2019.2953043.

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Jing, Xiang Shun, and Meng You Huo. "The Application of Database Connection Pool Based on Java in Things Networking." Applied Mechanics and Materials 432 (September 2013): 622–25. http://dx.doi.org/10.4028/www.scientific.net/amm.432.622.

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In view of the application of database operation in the things networking, this paper introduces the principle, the working process, the key technology and the realization method of the database connection pool. For the database operation which used JAVA language to formate, we contrasted the accessing time between use connection pool and do not use connection pool. The results show that the appropriately use of the database connection pool technology can improve the real-time performance of the database operation in things networking greatly.
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Loo, Boon Thau, and Stefan Saroiu. "5th international workshop on networking meets databases (NetDB 2009)." ACM SIGOPS Operating Systems Review 43, no. 4 (January 27, 2010): 17–18. http://dx.doi.org/10.1145/1713254.1713259.

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Loo, Boon Thau, and Stefan Saroiu. "5th international workshop on networking meets databases (NetDB 2009)." ACM SIGMOD Record 38, no. 4 (June 27, 2010): 49–50. http://dx.doi.org/10.1145/1815948.1815960.

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Mandias, Green Ferry, Green Arther Sandag, Susi Susanti, and Haryanto Reza Musak. "Penerapan Algoritma K-Means Untuk Analisis Prestasi Akademik Mahasiswa Fakultas Ilmu Komputer Universitas Klabat." CogITo Smart Journal 3, no. 2 (December 12, 2017): 230. http://dx.doi.org/10.31154/cogito.v3i2.72.230-239.

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Universitas Klabat (UNKLAB) adalah salah satu perguruan tinggi swasta yang berada dibawah naungan organisasi Gereja Masehi Advent Hari Ketujuh, yang bertempat di Airmadidi, Sulawesi Utara. Universitas Klabat termasuk universitas yang sangat dikenal di Sulawesi utara, yang di dalamnya memiliki 1 program pascasarjana, 6 fakultas dan 1 akademik. Penelitian ini dilakukan untuk mengetahui pencapaian prestasi mahasiswa fakultas ilmu komputer yang berada pada tingkat 4 yang memiliki 52 mahasiswa yang aktif dengan memanfaatkan metode data mining. Berdasarkan data mahasiswa fakultas ilmu computer, penelitian ini dilakukan untuk mencari tahu berapa banyak mahasiswa yang memiliki prestasi akademik dibidang databases, networking dan programming dengan menggunakan algoritma data mining. Penelitian ini menggunakan algoritma K-Means dalam menganalisis prestasi akademik mahasiswa fakultas llmu komputer di Universitas Klabat. Data yang dianalisis dikelompokan terlebih dahulu agar terstruktur serta data yang dianalisis memiliki kejelasan hasil yang lebih dalam.Hasil yang didapat dari 52 mahasiswa tersebut adalah, 33% mahasiswa memiliki nilai prestasi di bidang database, 42% mahasiswa pada bidang networking dan 25% mahasiswa di bidang programming. Keywords : UNKLAB, Algoritma K-Means ,WEKA, Cluster, Data Mining.
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Zeng, Yu, Xiaofang Zhou, Linshan Zhang, Nianrong Zhou, and Gerald E. Sobelman. "A database-driven Ant Colony Algorithm for PLC networking." IEICE Electronics Express 11, no. 22 (2014): 20140957. http://dx.doi.org/10.1587/elex.11.20140957.

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Dissertations / Theses on the topic "Databases and database Networking"

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Ulibarri, Desirea Duarte. "Volunteer system project Regis University Networking Lab Practicum /." [Denver, Colo.] : Regis University, 2006. http://165.236.235.140/lib/DUlibarriPartI2006.pdf.

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Reblitz-Richardson, Orion Aubrey 1976. "Architecture for biological model and database networking." Thesis, Massachusetts Institute of Technology, 2000. http://hdl.handle.net/1721.1/86495.

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Thesis (S.B. and M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2000.
Includes bibliographical references (leaves 73-75).
by Orion Aubrey Reblitz-Richardson.
S.B.and M.Eng.
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Sundaram, Prashanthi. "Student database access from the web." CSUSB ScholarWorks, 1998. https://scholarworks.lib.csusb.edu/etd-project/1785.

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This project, Database Access through the Web (DAW), implements a database to store academic and general information of graduate students in the Department of Computer Science, CSUSB and provides access to the database from the web. The motivation of the project comes from needs of the Graduate Coordinator, professors and department staff to access through the Internet student information concurrently.
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Mukviboonchai, Suvimol. "The mediated data integration (MeDInt) : An approach to the integration of database and legacy systems." Thesis, Edith Cowan University, Research Online, Perth, Western Australia, 2003. https://ro.ecu.edu.au/theses/1308.

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The information required for decision making by executives in organizations is normally scattered across disparate data sources including databases and legacy systems. To gain a competitive advantage, it is extremely important for executives to be able to obtain one unique view of information in an accurate and timely manner. To do this, it is necessary to interoperate multiple data sources, which differ structurally and semantically. Particular problems occur when applying traditional integration approaches, for example, the global schema needs to be recreated when the component schema has been modified. This research investigates the following heterogeneities between heterogeneous data sources: Data Model Heterogeneities, Schematic Heterogeneities and Semantic Heterogeneities. The problems of existing integration approaches are reviewed and solved by introducing and designing a new integration approach to logically interoperate heterogeneous data sources and to resolve three previously classified heterogeneities. The research attempts to reduce the complexity of the integration process by maximising the degree of automation. Mediation and wrapping techniques are employed in this research. The Mediated Data Integration (MeDint) architecture has been introduced to integrate heterogeneous data sources. Three major elements, the MeDint Mediator, wrappers, and the Mediated Data Model (MDM) play important roles in the integration of heterogeneous data sources. The MeDint Mediator acts as an intermediate layer transforming queries to sub-queries, resolving conflicts, and consolidating conflict-resolved results. Wrappers serve as translators between the MeDint Mediator and data sources. Both the mediator and wrappers arc well-supported by MDM, a semantically-rich data model which can describe or represent heterogeneous data schematically and semantically. Some organisational information systems have been tested and evaluated using the MeDint architecture. The results have addressed all the research questions regarding the interoperability of heterogeneous data sources. In addition, the results also confirm that the Me Dint architecture is able to provide integration that is transparent to users and that the schema evolution does not affect the integration.
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Manjarrez, Sanchez Jorge. "Efficient Content-based Retrieval in Parallel Databases of Images." Phd thesis, Université de Nantes, 2009. http://tel.archives-ouvertes.fr/tel-00465943.

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Cette thèse porte sur le traitement des requêtes par similarité sur les données de haute dimensionnalité, notamment multimédias, et, parmi elles, les images plus particulièrement. Ces requêtes, notamment celles des k plus proches voisins (kNN), posent des problèmes de calcul de par la nature des données elles-mêmes et de la taille de la base des données. Nous avons étudié leurs performances quand une méthode de partitionnement est appliquée sur la base de données pour obtenir et exploiter des classes. Nous avons proposé une taille et un nombre optimaux de ces classes pour que la requête puisse être traitée en temps optimal et avec une haute précision. Nous avons utilisé la recherche séquentielle comme base de référence. Ensuite nous avons proposé des méthodes de traitement de requêtes parallèles sur une grappe de machines. Pour cela, nous avons proposé des méthodes d'allocation des données pour la recherche efficace des kNN en parallèle. Nous proposons de même, un nombre réduit de noeuds sur la grappe de machines permettant néanmoins des temps de recherche sous-linéaires et optimaux vis-à-vis des classes déterminées précédemment. Nous avons utilisé des donnés synthétiques et réelles pour les validations pratiques. Dans les deux cas, nous avons pu constater des temps de réponse et une qualité des résultats supérieurs aux méthodes existantes, lesquelles, au-delà d'un faible nombre des dimensions, deviennent inefficaces.
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Wang, Junhua. "Large-Sample Logistic Regression with Latent Covariates in a Bayesian Networking Context." TopSCHOLAR®, 2009. http://digitalcommons.wku.edu/theses/103.

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We considered the problem of predicting student retention using logistic regression when the most important covariates such as the college variables are latent, but the network structure is known. This network structure specifies the relationship between pre-college to college variables and then from college to student retention variables. Based on this structure, we developed three estimators, examined their large-sample properties, and evaluated their empirical efficiencies using WKU student retention database. Results show that while the hat estimator is expected to be most efficient, the tilde estimator was shown to be more efficient than the check method. This increased efficiency suggests that utilizing the network information can improve our predictions.
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Miller, Nathan D. "Adapting the Skyline Operator in the NetFPGA Platform." Youngstown State University / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=ysu1369586333.

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Alsulami, Khalil Ibrahim D. "Application-Based Network Traffic Generator for Networking AI Model Development." University of Dayton / OhioLINK, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1619387614152354.

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Zhang, Junshu. "Why Consumers Disclose Their Tourism Experiences on Tourism Social Networking Sites: Multiple Theoretical Perspectives." Scholar Commons, 2016. http://scholarcommons.usf.edu/etd/6607.

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Tourism social networking sites (SNSs) are websites that provide users with templates for describing their travel experiences and an infrastructure to share such travel posts with a network of like-minded individuals. Tourism SNSs represent an important advertising channel for the tourism industry, as they may assist travelers in selecting destinations and planning vacations on the basis of other travelers’ experiences, which may further stimulate travel and generate income for the tourism industry (Yazdanifard & Yee, 2014). User-generated content (UGC) in the form of travel posts is the core offering and key success factor of tourism SNSs. Travel posts constitute a valuable resource that attracts users to these websites, and they serve as a key data feed into the data mining process that is used to develop travel products on tourism SNSs. However, one problem with tourism SNSs is that their users, especially the new ones, do not publish their travel experiences on these SNSs as often as they do on traditional SNSs, such as Facebook. This may result in a lack of content and, therefore, a loss of potential consumers and, consequently, revenue. Therefore, a study on self-disclosure behavior in writing travel posts may contribute to understanding the reasons why this problem exists and help tourism SNSs improve their service accordingly. The author used multiple theoretical perspectives (social exchange theory and social cognition theory) to develop a comprehensive self-disclosure framework. The framework was tested by using a partial least squares based structural equation modelling (PLS-SEM) approach with data from 443 participants recruited from the two most popular Chinese tourism SNSs: Qyer.com and mafengwo.cn. The findings show that self-disclosure behavior on tourism SNSs was significantly affected by self-benefit, positive feedback from other users, social benefits, rewards, tourism SNSs’ security mechanism, and ease of use. However, habit and motive did not have a statistically significant effect on self-disclosure behavior. Moreover, self-disclosure behavior positively affected electronic word of mouth (EWOM) relating to the tourism SNSs. Finally, the findings have theoretical and practical implications, and the thesis ends with a discussion of the limitations of this study and suggestions for future research.
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Collins, Helen Loretta. "An Exploration of Wireless Networking and the Management of Associated Security Risk." ScholarWorks, 2015. https://scholarworks.waldenu.edu/dissertations/1843.

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The rapid expansion of wireless information technology (IT) coupled with a dramatic increase in security breaches forces organizations to develop comprehensive strategies for managing security risks. The problem addressed was the identification of security risk management practices and human errors of IT administrators, putting the organization at risk for external security intrusion. The purpose of this non-experimental quantitative study was to investigate and determine the security risk assessment practices used by IT administrators to protect the confidentiality and integrity of the organization's information. The research questions focused on whether the security risk management practices of IT administrators met or exceeded the minimally accepted practices and standards for wireless networking. The security risk assessment and management model established the theoretical framework. The sample was 114 participants from small to medium IT organizations comprised of security engineers, managers, and end users. Data collection was via an online survey. Data analysis included both descriptive and inferential statistical methods. The results revealed that greater than 80% of participants conducted appropriate risk management and review assessments. This study underscored the need for a more comprehensive approach to managing IT security risks. IT managers can use the outcome of this study as a benchmark for evaluating their current risk assessment procedures. Experiencing security breaches in organizations may be inevitable. However, when organizations and industry leaders can greatly reduce the cost of a data breach by developing effective risk management plans that lead to better security outcomes, positive social change can be realized.
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Books on the topic "Databases and database Networking"

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International Business Machines Corporation. International Technical Support Organization, ed. IBM j-type Data Center Networking Introduction. Poughkeepsie, NY: IBM, International Technical Support Organization, 2010.

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Atre, S. Distributed databases, cooperative processing, and networking. New York: McGraw-Hill, 1991.

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Satoshi, Nishijima, Iwata Shuichi, ASTM Committee E-49 on Computerization of Material and Chemical Property Data., and Kinzoku Zairyō Gijutsu Kenkyūjo (Japan), eds. Computerization and networking of materials databases. West Conshohocken, PA: ASTM, 1997.

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Atre, S. Distributed databases, cooperative processing, and networking. New York: McGraw-Hill, 1992.

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1933-, Barry T. I., Reynard K, ASTM Committee E-49 on Computerization of Material Property Data., and National Physical Laboratory (Great Britain), eds. Computerization and networking of materials databases. Philadelphia, PA: ASTM, 1992.

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Luca, Bardi, Ciano Luca, Corbolante Marina, and Università di Padova. Centro di ateneo per le biblioteche., eds. From database networking to the digital library. Padova: Unipress, 1997.

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Oracle networking. Berkeley: Osborne McGraw-Hill, 1996.

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Kaufman, JG, and JS Glazman, eds. Computerization and Networking of Materials Databases: Second Volume. 100 Barr Harbor Drive, PO Box C700, West Conshohocken, PA 19428-2959: ASTM International, 1991. http://dx.doi.org/10.1520/stp1106-eb.

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Barry, TI, and KW Reynard, eds. Computerization and Networking of Materials Databases: Third Volume. 100 Barr Harbor Drive, PO Box C700, West Conshohocken, PA 19428-2959: ASTM International, 1992. http://dx.doi.org/10.1520/stp1140-eb.

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Sturrock, CP, and EF Begley, eds. Computerization and Networking of Materials Databases: Fourth Volume. 100 Barr Harbor Drive, PO Box C700, West Conshohocken, PA 19428-2959: ASTM International, 1995. http://dx.doi.org/10.1520/stp1257-eb.

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Book chapters on the topic "Databases and database Networking"

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Curtis, Bobby, Fuad Arshad, Erik Benner, Maris Elsins, Matt Gallagher, Pete Sharman, and Yury Velikanov. "Networking." In Practical Oracle Database Appliance, 81–98. Berkeley, CA: Apress, 2014. http://dx.doi.org/10.1007/978-1-4302-6266-4_5.

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Roscoe, Timothy, and Boon Thau Loo. "Declarative Networking." In Encyclopedia of Database Systems, 1–4. New York, NY: Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4899-7993-3_1220-2.

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Roscoe, Timothy. "Declarative Networking." In Encyclopedia of Database Systems, 770–72. Boston, MA: Springer US, 2009. http://dx.doi.org/10.1007/978-0-387-39940-9_1220.

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Roscoe, Timothy, and Boon Thau Loo. "Declarative Networking." In Encyclopedia of Database Systems, 1023–26. New York, NY: Springer New York, 2018. http://dx.doi.org/10.1007/978-1-4614-8265-9_1220.

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Nikolik, Dragan. "Database Functionality." In A Manager’s Primer on e-Networking, 223–31. Dordrecht: Springer Netherlands, 2003. http://dx.doi.org/10.1007/978-94-007-0862-4_15.

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Alapati, Sam R. "Connectivity and Networking." In Expert Oracle9i Database Administration, 425–68. Berkeley, CA: Apress, 2003. http://dx.doi.org/10.1007/978-1-4302-0773-3_10.

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El Malki, Mohammed, Arlind Kopliku, Essaid Sabir, and Olivier Teste. "Benchmarking Big Data OLAP NoSQL Databases." In Ubiquitous Networking, 82–94. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-02849-7_8.

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Nikolik, Dragan. "Working With Databases." In A Manager’s Primer on e-Networking, 205–21. Dordrecht: Springer Netherlands, 2003. http://dx.doi.org/10.1007/978-94-007-0862-4_14.

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Yoshida, Hiroshi. "Storage Networking Industry Association." In Encyclopedia of Database Systems, 1. New York, NY: Springer New York, 2017. http://dx.doi.org/10.1007/978-1-4899-7993-3_1347-2.

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Yoshida, Hiroshi. "Storage Networking Industry Association." In Encyclopedia of Database Systems, 2815–16. Boston, MA: Springer US, 2009. http://dx.doi.org/10.1007/978-0-387-39940-9_1347.

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Conference papers on the topic "Databases and database Networking"

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Artail, Hassan, Haidar Safa, Rana ELZinnar, and Hicham Hamze. "A Distributed Database Framework from Mobile Databases in MANETs." In Third IEEE International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob 2007). IEEE, 2007. http://dx.doi.org/10.1109/wimob.2007.4390848.

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Rao, Udai Pratap, G. J. Sahani, and Dhiren R. Patel. "Machine learning proposed approach for detecting database intrusions in RBAC enabled databases." In 2010 International Conference on Computing, Communication and Networking Technologies (ICCCNT'10). IEEE, 2010. http://dx.doi.org/10.1109/icccnt.2010.5591574.

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Baumann, Peter. "Array Databases." In 2012 SC Companion: High Performance Computing, Networking, Storage and Analysis (SCC). IEEE, 2012. http://dx.doi.org/10.1109/sc.companion.2012.365.

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Wada, Yuji, Yuta Watanabe, Keisuke Syoubu, Jun Sawamoto, and Takashi Katoh. "Virtual Database Technology for Distributed Database." In 2010 IEEE 24th International Conference on Advanced Information Networking and Applications Workshops. IEEE, 2010. http://dx.doi.org/10.1109/waina.2010.38.

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Khan, Wisal, Waqas Ahmad, Bin Luo, and Ejaz Ahmed. "SQL Database with physical database tuning technique and NoSQL graph database comparisons." In 2019 IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC). IEEE, 2019. http://dx.doi.org/10.1109/itnec.2019.8729264.

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Ahmad-Kassem, Ahmad, Christophe Bobineau, Christine Collet, Etienne Dublé, Stéphane Grumbach, Fuda Ma, Lourdes Martinez, and Stéphane Ubéda. "UBIQUEST, for rapid prototyping of networking applications." In the 16th International Database Engineering & Applications Sysmposium. New York, New York, USA: ACM Press, 2012. http://dx.doi.org/10.1145/2351476.2351498.

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Frühwirt, Peter, Marcus Huber, Martin Mulazzani, and Edgar R. Weippl. "InnoDB Database Forensics." In 2010 24th IEEE International Conference on Advanced Information Networking and Applications. IEEE, 2010. http://dx.doi.org/10.1109/aina.2010.152.

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Fouad, Toufik, and Bahaj Mohamed. "Model Transformation From Object Relational Database to NoSQL Column Based Database." In NISS2020: The 3rd International Conference on Networking, Information Systems & Security. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3386723.3387881.

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Detti, Andrea, Nicola Blefari Melazzi, Michele Orru, Riccardo Paolillo, and Giulio Rossi. "OpenGeoBase: Information Centric Networking Meets Spatial Database Applications." In 2016 IEEE Globecom Workshops (GC Wkshps). IEEE, 2016. http://dx.doi.org/10.1109/glocomw.2016.7848988.

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Costa, Rogério Luís deCarvalho, and Pedro Furtado. "Scheduling in Grid Databases." In 22nd International Conference on Advanced Information Networking and Applications - Workshops (aina workshops 2008). IEEE, 2008. http://dx.doi.org/10.1109/waina.2008.196.

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Reports on the topic "Databases and database Networking"

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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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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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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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4

Henderson, Lewis. Development of Databases from Defense Manpower Data Center Files: Report Summarizing Development of Database Activities. Fort Belvoir, VA: Defense Technical Information Center, August 1997. http://dx.doi.org/10.21236/ada328530.

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5

Laramée, R. M. Source code for GlobalDBSystem, data management interfaces for mineral deposit databases, World Minerals Geoscience Database Project. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2015. http://dx.doi.org/10.4095/296953.

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Henderson, Lewis. Refinement, Maintenance, and Continued Development of Databases from DMDC Files: Report Summarizing Development of Database Activities. Fort Belvoir, VA: Defense Technical Information Center, August 1997. http://dx.doi.org/10.21236/ada328928.

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Cruz, Cesi, Philip Keefer, and Carlos Scartascini. The Database of Political Institutions 2020 (DPI2020). Inter-American Development Bank, January 2021. http://dx.doi.org/10.18235/0003049.

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The Database of Political Institutions presents institutional and electoral results data such as measures of checks and balances, tenure and stability of the government, identification of party affiliation and ideology, and fragmentation of opposition and government parties in the legislature. The current version of the database expands its coverage to about 180 countries for 45 years, 1975-2020. It has become one of the most cited databases in comparative political economy and comparative political institutions, with more than 4,500 article citations on Google Scholar as of December 2020.
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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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Pokryshen, Dmytro A., Evgeniy H. Prokofiev, and Albert A. Azaryan. Blogger and YouTube services at a distant course “Database management system Microsoft Access”. [б. в.], September 2019. http://dx.doi.org/10.31812/123456789/3272.

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The article is devoted to the coverage of the course “Database management system Microsoft Access”, an educational blog review “The development of a creative child. ІCТ”, which is used as an auxiliary tool for promoting a course and teacher in the Internet, structural analysis of this blog is made. The channel location is set on YouTube video hosting and how it is used in the course on databases. Attention is drawn to the fact that theoretical and practical material is considered on real, implemented informational and analytical systems. To prepare students for the Olympiads and provide methodological help teachers of computer science are looking at tasks from databases that were offered at the All-Ukrainian Olympiads on Information Technologies, especially II, III and IV stages (offline and online Olympiads), which are located in open access to the blog and YouTube channel. The main focus of the article is devoted to the practical side of teaching teachers of computer science, experience in using the above technologies.
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Henderson, Lewis. Refinement, Maintenance, and Continued Development of Databases for Defense Manpower Data Center Files: Report Summarizing Development of Database Activities. Fort Belvoir, VA: Defense Technical Information Center, August 1997. http://dx.doi.org/10.21236/ada328571.

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