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Relevant bibliographies by topics / Transactional databases

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Academic literature on the topic 'Transactional databases'

Author: Grafiati

Published: 4 June 2021

Last updated: 29 January 2023

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Journal articles on the topic "Transactional databases"

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Fouad, Mohammed M., Mostafa G. M. Mostafa, Abdulfattah S. Mashat, and Tarek F. Gharib. "IMIDB: An Algorithm for Indexed Mining of Incremental Databases." Journal of Intelligent Systems 26, no. 1 (2017): 69–85. http://dx.doi.org/10.1515/jisys-2015-0107.

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AbstractAssociation rules provide important knowledge that can be extracted from transactional databases. Owing to the massive exchange of information nowadays, databases become dynamic and change rapidly and periodically: new transactions are added to the database and/or old transactions are updated or removed from the database. Incremental mining was introduced to overcome the problem of maintaining previously generated association rules in dynamic databases. In this paper, we propose an efficient algorithm (IMIDB) for incremental itemset mining in large databases. The algorithm utilizes the

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Szafrański, Bolesław, and Rafał Bałazy. "Data protection in transactional and statistical applications of databases." Computer Science and Mathematical Modelling, no. 10/2019 (September 30, 2020): 31–39. http://dx.doi.org/10.5604/01.3001.0014.4439.

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The article describes a discussion on the issue of data protection in databases. The discussion attempts to answer the question about the possibility of using a transactional database system as a system capable of data protection in a statistical database. The discussion is preceded by a reminder of the basic issues related to data protection in databases, including reminder of flow control models, access control models and the inference. The key element of the article is the analysis, based on the example of the Oracle database management system, whether data protection mechanisms in transact

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AL-Khafaji, Hussein, and Noora Al-Saidi. "DWORM: A Novel Algorithm To Maintain Large Itemsets in Deleted Items and/or Transactions Databases Without Re-Mining." Journal of Al-Rafidain University College For Sciences ( Print ISSN: 1681-6870 ,Online ISSN: 2790-2293 ), no. 1 (October 23, 2021): 5–24. http://dx.doi.org/10.55562/jrucs.v26i1.418.

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Transactional databases can be updated by three cases; the addition of new transactions, the deletion of set of transactions, andor increasing or decreasing of the support of the itemsets. The update process affects the previously mined itemsets, some of the large items will be small and vice versa. Therefore the updated database should be re-mined to discover the changes in the hidden itemsets. There are many algorithms to avoid the re-mining process in the case of updating a database by addition and there is one algorithm in case of changing the value of the support. But there is no actual a

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Chen, Hongzhi, Changji Li, Chenguang Zheng, et al. "G-tran." Proceedings of the VLDB Endowment 15, no. 11 (2022): 2545–58. http://dx.doi.org/10.14778/3551793.3551813.

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Graph transaction processing poses unique challenges such as random data access due to the irregularity of graph structures, low throughput and high abort rate due to the relatively large read/write sets in graph transactions. To address these challenges, we present G-Tran, a remote direct memory access (RDMA)-enabled distributed in-memory graph database with serializable and snapshot isolation support. First, we propose a graph-native data store to achieve good data locality and fast data access for transactional updates and queries. Second, G-Tran adopts a fully decentralized architecture th

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Mazurova, Oksana, Artem Naboka, and Mariya Shirokopetleva. "RESEARCH OF ACID TRANSACTION IMPLEMENTATION METHODS FOR DISTRIBUTED DATABASES USING REPLICATION TECHNOLOGY." Innovative Technologies and Scientific Solutions for Industries, no. 2 (16) (July 6, 2021): 19–31. http://dx.doi.org/10.30837/itssi.2021.16.019.

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Today, databases are an integral part of most modern applications designed to store large amounts of data and to request from many users. To solve business problems in such conditions, databases are scaled, often horizontally on several physical servers using replication technology. At the same time, many business operations require the implementation of transactional compliance with ACID properties. For relational databases that traditionally support ACID transactions, horizontal scaling is not always effective due to the limitations of the relational model itself. Therefore, there is an appl

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Vijay Kumar, G., M. Sreedevi, K. Bhargav, and P. Mohan Krishna. "Incremental Mining of Popular Patterns from Transactional Databases." International Journal of Engineering & Technology 7, no. 2.7 (2018): 636. http://dx.doi.org/10.14419/ijet.v7i2.7.10913.

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From the day the mining of frequent pattern problem has been introduced the researchers have extended the frequent patterns to various helpful patterns like cyclic, periodic, regular patterns in emerging databases. In this paper, we get to know about popular pattern which gives the Popularity of every items between the incremental databases. The method that used for the mining of popular patterns is known as Incrpop-growth algorithm. Incrpop-tree structure is been applied in this algorithm. In incremental databases the event recurrence and the event conduct of the example changes at whatever p

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Avni, Hillel, and Trevor Brown. "Persistent hybrid transactional memory for databases." Proceedings of the VLDB Endowment 10, no. 4 (2016): 409–20. http://dx.doi.org/10.14778/3025111.3025122.

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Xiang, Yang, Ruoming Jin, David Fuhry, and Feodor F. Dragan. "Summarizing transactional databases with overlapped hyperrectangles." Data Mining and Knowledge Discovery 23, no. 2 (2010): 215–51. http://dx.doi.org/10.1007/s10618-010-0203-9.

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Gowtham Srinivas, P., P. Krishna Reddy, A. V. Trinath, S. Bhargav, and R. Uday Kiran. "Mining coverage patterns from transactional databases." Journal of Intelligent Information Systems 45, no. 3 (2014): 423–39. http://dx.doi.org/10.1007/s10844-014-0318-3.

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GKOULALAS-DIVANIS, ARIS, and VASSILIOS S. VERYKIOS. "EXACT KNOWLEDGE HIDING IN TRANSACTIONAL DATABASES." International Journal on Artificial Intelligence Tools 18, no. 01 (2009): 17–37. http://dx.doi.org/10.1142/s0218213009000020.

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The hiding of sensitive knowledge in the form of frequent itemsets, has gained increasing attention over the past years. This paper highlights the process of border revision, which is essential for the identification of hiding solutions bearing no side-effects, and provides efficient algorithms for the computation of the revised positive and the revised negative borders. By utilizing border revision, we unify the theory behind two exact hiding algorithms that guarantee optimal solutions both in terms of database distortion and side-effects introduced by the hiding process. Following that, we p

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Dissertations / Theses on the topic "Transactional databases"

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Navarro, Martín Joan. "From cluster databases to cloud storage: Providing transactional support on the cloud." Doctoral thesis, Universitat Ramon Llull, 2015. http://hdl.handle.net/10803/285655.

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Durant les últimes tres dècades, les limitacions tecnològiques (com per exemple la capacitat dels dispositius d'emmagatzematge o l'ample de banda de les xarxes de comunicació) i les creixents demandes dels usuaris (estructures d'informació, volums de dades) han conduït l'evolució de les bases de dades distribuïdes. Des dels primers repositoris de dades per arxius plans que es van desenvolupar en la dècada dels vuitanta, s'han produït importants avenços en els algoritmes de control de concurrència, protocols de replicació i en la gestió de transaccions. No obstant això, els reptes moderns d'emm

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Araujo, Neto Afonso Comba de. "Security Benchmarking of Transactional Systems." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2012. http://hdl.handle.net/10183/143292.

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A maioria das organizações depende atualmente de algum tipo de infraestrutura computacional para suportar as atividades críticas para o negócio. Esta dependência cresce com o aumento da capacidade dos sistemas informáticos e da confiança que se pode depositar nesses sistemas, ao mesmo tempo que aumenta também o seu tamanho e complexidade. Os sistemas transacionais, tipicamente centrados em bases de dados utilizadas para armazenar e gerir a informação de suporte às tarefas diárias, sofrem naturalmente deste mesmo problema. Assim, uma solução frequentemente utilizada para amenizar a dificuldade

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Li, Yanrong. "Techniques for improving clustering and association rules mining from very large transactional databases." Thesis, Curtin University, 2009. http://hdl.handle.net/20.500.11937/907.

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Clustering and association rules mining are two core data mining tasks that have been actively studied by data mining community for nearly two decades. Though many clustering and association rules mining algorithms have been developed, no algorithm is better than others on all aspects, such as accuracy, efficiency, scalability, adaptability and memory usage. While more efficient and effective algorithms need to be developed for handling the large-scale and complex stored datasets, emerging applications where data takes the form of streams pose new challenges for the data mining community. The

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Liu, Yufan. "A Survey Of Persistent Graph Databases." Kent State University / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=kent1395166105.

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Niles, Duane Francis Jr. "Improving Performance of Highly-Programmable Concurrent Applications by Leveraging Parallel Nesting and Weaker Isolation Levels." Thesis, Virginia Tech, 2015. http://hdl.handle.net/10919/54557.

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The recent development of multi-core computer architectures has largely affected the creation of everyday applications, requiring the adoption of concurrent programming to significantly utilize the divided processing power of computers. Applications must be split into sections able to execute in parallel, without any of these sections conflicting with one another, thereby necessitating some form of synchronization to be declared. The most commonly used methodology is lock-based synchronization; although, to improve performance the most, developers must typically form complex, low-level impleme

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Bejaoui, Lofti. "Qualitative topological relationships for objects with possibly vague shapes: implications on the specification of topological integrity constraints in transactional spatial databases and in spatial data warehouses." Phd thesis, Université Blaise Pascal - Clermont-Ferrand II, 2009. http://tel.archives-ouvertes.fr/tel-00725614.

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Dans les bases de données spatiales actuellement mises en oeuvre, les phénomènes naturels sont généralement représentés par des géométries ayant des frontières bien délimitées. Une telle description de la réalité ignore le vague qui caractérise la forme de certains objets spatiaux (zones d'inondation, lacs, peuplements forestiers, etc.). La qualité des données enregistrées est donc dégradée du fait de ce décalage entre la réalitée et sa description. Cette thèse s'attaque à ce problème en proposant une nouvelle approche pour représenter des objets spatiaux ayant des formes vagues et caractérise

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Bejaoui, Lotfi. "Qualitative Topological Relationships for Objects with Possibly Vague Shapes: Implications on the Specification of Topological Integrity Constraints in Transactional Spatial Databases and in Spatial Data Warehouses." Thesis, Université Laval, 2009. http://www.theses.ulaval.ca/2009/26348/26348.pdf.

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Burger, Albert G. "Branching transactions : a transaction model for parallel database systems." Thesis, University of Edinburgh, 1996. http://hdl.handle.net/1842/15591.

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In order to exploit parallel computers, database management systems must achieve a high level of concurrency when executing transactions. In a high contention environment, however, concurrency is severely limited due to transaction blocking, and the utilisation of parallel hardware resources, e.g. multiple CPUs, can be low. In this dissertation, a new transaction model, <I>Branching Transactions, </I>is proposed. Under branching transactions, more than one possible path of execution of a transaction is followed up in parallel, which allows us to avoid unnecessary transaction blockings and rest

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Dias, Ricardo Jorge Freire. "Cooperative memory and database transactions." Master's thesis, Faculdade de Ciências e Tecnologia, 2008. http://hdl.handle.net/10362/4192.

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Dissertação apresentada na Faculdade de Ciências e Tecnologia da Universidade Nova de Lisboa para a obtenção do Grau de Mestre em Engenharia Informática<br>Since the introduction of Software Transactional Memory (STM), this topic has received a strong interest by the scientific community, as it has the potential of greatly facilitating concurrent programming by hiding many of the concurrency issues under the transactional layer, being in this way a potential alternative to the lock based constructs, such as mutexes and semaphores. The current practice of STM is based on keeping track of

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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 "Transactional databases"

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N, Chorafas Dimitris. Transaction management: Managing complex transactions and sharing distributed databases. St. Martin's Press, 1998.

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Zawis, John A. Accessing hierarchical databases via SQL transactions in a multi-model database system. Naval Postgraduate School, 1987.

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Walpole, Dennis A. Accessing network databases via SQL transactions in a multi-model database system. Naval Postgraduate School, 1989.

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McManus, Thomas E. Telephone transaction-generated information: Rights and restrictions. Program on Information Resources Policy, Harvard University, Center for Information Policy Research, 1990.

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Saake, Gunter, Kerstin Schwarz, and Can Türker, eds. Transactions and Database Dynamics. Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/3-540-46466-2.

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Freitag, Burkhard, Hendrik Decker, Michael Kifer, and Andrei Voronkov, eds. Transactions and Change in Logic Databases. Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/bfb0055493.

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Kifer, M. Database systems: An application-oriented approach. 2nd ed. Pearson/Addison Wesley, 2005.

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1960-, Saake Gunter, Schwarz Kerstin, and Türker Can, eds. Transactions and database dynamics: 8th International Workshop on Foundations of Models and Languages for Data and Objects, Dagstuhl Castle, Germany, September 27-30, 1999 : selected papers. Springer, 2000.

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Sowade, Olajide B. Transaction Management in Object Oriented Distributed Databases. University ofEast London, 1995.

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Kuhn, Darl, and Thomas Kyte. Oracle Database Transactions and Locking Revealed. Apress, 2021. http://dx.doi.org/10.1007/978-1-4842-6425-6.

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Book chapters on the topic "Transactional databases"

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Vossen, Gottfried. "Transactional workflows." In Deductive and Object-Oriented Databases. Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/3-540-63792-3_4.

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Haghir Chehreghani, Mostafa, and Morteza Haghir Chehreghani. "Transactional Tree Mining." In Machine Learning and Knowledge Discovery in Databases. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-46128-1_12.

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Kempster, Tim, Gordon Brebner, and Peter Thanisch. "A Transactional Approach to Configuring Telecommunications Services." In Databases in Telecommunications. Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/10721056_4.

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Leung, Carson Kai-Sang, and Syed K. Tanbeer. "Mining Popular Patterns from Transactional Databases." In Data Warehousing and Knowledge Discovery. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-32584-7_24.

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Kiran, R. Uday, and Masaru Kitsuregawa. "Discovering Chronic-Frequent Patterns in Transactional Databases." In Databases in Networked Information Systems. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-16313-0_2.

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Tanbeer, Syed Khairuzzaman, Chowdhury Farhan Ahmed, Byeong-Soo Jeong, and Young-Koo Lee. "Discovering Periodic-Frequent Patterns in Transactional Databases." In Advances in Knowledge Discovery and Data Mining. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-01307-2_24.

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Bharati, R. D., and V. Z. Attar. "Workload-Driven Transactional Partitioning for Distributed Databases." In Data Intelligence and Cognitive Informatics. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-8530-2_31.

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Bharati, R. D., and V. Z. Attar. "Workload-Driven Transactional Partitioning for Distributed Databases." In Data Intelligence and Cognitive Informatics. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-8530-2_31.

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Rashid, Md Mamunur, Md Rezaul Karim, Byeong-Soo Jeong, and Ho-Jin Choi. "Efficient Mining Regularly Frequent Patterns in Transactional Databases." In Database Systems for Advanced Applications. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-29038-1_20.

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Nofong, Vincent Mwintieru. "Discovering Productive Periodic Frequent Patterns in Transactional Databases." In Data Science. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-24474-7_20.

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Conference papers on the topic "Transactional databases"

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Xiang, Yang, Ruoming Jin, David Fuhry, and Feodor F. Dragan. "Succinct summarization of transactional databases." In the 14th ACM SIGKDD international conference. ACM Press, 2008. http://dx.doi.org/10.1145/1401890.1401981.

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Palmerini, P., S. Orlando, and R. Perego. "Statistical properties of transactional databases." In the 2004 ACM symposium. ACM Press, 2004. http://dx.doi.org/10.1145/967900.968009.

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"TRANSACTIONAL SUPPORT IN NATIVE XML DATABASES." In 10th International Conference on Enterprise Information Systems. SciTePress - Science and and Technology Publications, 2008. http://dx.doi.org/10.5220/0001725303680373.

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Sreedevi, M., and L. S. S. Reddy. "Mining regular closed patterns in transactional databases." In 2013 7th International Conference on Intelligent Systems and Control (ISCO). IEEE, 2013. http://dx.doi.org/10.1109/isco.2013.6481184.

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Welke, Pascal. "Efficient Frequent Subgraph Mining in Transactional Databases." In 2020 IEEE 7th International Conference on Data Science and Advanced Analytics (DSAA). IEEE, 2020. http://dx.doi.org/10.1109/dsaa49011.2020.00044.

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Tanbeer, Syed Khairuzzaman, Chowdhury Farhan Ahmed, and Byeong-Soo Jeong. "Mining Regular Patterns in Incremental Transactional Databases." In 2010 12th Asia Pacific Web Conference (APWEB). IEEE, 2010. http://dx.doi.org/10.1109/apweb.2010.69.

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Dey, Akon, Alan Fekete, Raghunath Nambiar, and Uwe Rohm. "YCSB+T: Benchmarking web-scale transactional databases." In 2014 IEEE 30th International Conference on Data Engineering Workshops (ICDEW). IEEE, 2014. http://dx.doi.org/10.1109/icdew.2014.6818330.

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Leis, Viktor, Alfons Kemper, and Thomas Neumann. "Exploiting hardware transactional memory in main-memory databases." In 2014 IEEE 30th International Conference on Data Engineering (ICDE). IEEE, 2014. http://dx.doi.org/10.1109/icde.2014.6816683.

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Razdan, Varun, Aman Modi, Shruti Dumbare, and Rahul Jobanputra. "YCSB+T: Benchmark for transactional databases and performance." In 2017 International Conference of Electronics, Communication and Aerospace Technology (ICECA). IEEE, 2017. http://dx.doi.org/10.1109/iceca.2017.8212845.

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Thomas Mason, Robert. "NoSQL Databases and Data Modeling for a Document-oriented NoSQL Database." In InSITE 2015: Informing Science + IT Education Conferences: USA. Informing Science Institute, 2015. http://dx.doi.org/10.28945/2245.

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NoSQL databases are an important component of Big Data for storing and retrieving large volumes of data. Traditional Relational Database Management Systems (RDBMS) use the ACID theorem for data consistency, whereas NoSQL Databases use a non-transactional approach called BASE. RDBMS scale vertically and NoSQL Databases can scale both horizontally (sharding) and vertically. Four types of NoSQL databases are Document-oriented, Key-Value Pairs, Column-oriented and Graph. Data modeling for Document-oriented databases is similar to data modeling for traditional RDBMS during the conceptual and logica

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Reports on the topic "Transactional databases"

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Tolan, Gil D. Transaction Design Specification Medical Exam Databases System (MED) update Transaction. Defense Technical Information Center, 1986. http://dx.doi.org/10.21236/ada271597.

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Kang, Myong H., Oliver Costich, and Judith N. Froscher. A Practical Transaction Model and Untrusted Transaction Manager for a Multilevel-Secure Database System. Defense Technical Information Center, 1992. http://dx.doi.org/10.21236/ada462360.

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Costich, Oliver, and Sushil Jajodia. Maintaining Multilevel Transaction Atomicity in MLS Database Systems with Kernelized Architecture. Defense Technical Information Center, 1993. http://dx.doi.org/10.21236/ada465420.

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Costich, Oliver. Transaction Processing Using an Untrusted Scheduler in a Multilevel Database with Replicated Architecture. Defense Technical Information Center, 1992. http://dx.doi.org/10.21236/ada462366.

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Costich, Oliver, and John McDermott. A Multilevel Transaction Problem for Multilevel Secure Database Systems and its Solution for the Replicated Architecture. Defense Technical Information Center, 1992. http://dx.doi.org/10.21236/ada462530.

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Avellán, Leopoldo, Arturo Galindo, Giulia Lotti, and Juan Pablo Rodríguez Bonilla. Open configuration options Bridging the Gap: Mobilization of Multilateral Development Banks in Infrastructure. Inter-American Development Bank, 2022. http://dx.doi.org/10.18235/0004006.

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We explore how Multilateral Development Banks (MDBs) can help to fill a large infrastructure financing gap in developing countries by indirectly mobilizing resources from other entities. The analysis focuses on more than 6,500 transactions in 2005-2020 to developing and emerging markets from the Infrastructure Journal database. Using granular data, we analyze the dynamics of flows from different actors to infrastructure at the country-subsector level, and control for a wide range of fixed effects. MDB lending significantly increases the inflows from other sources. Cross-border and domestic res

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