Relevant bibliographies by topics / Transactional data / Dissertations / Theses
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Dissertations / Theses on the topic 'Transactional data'

Author: Grafiati
Published: 4 June 2021
Last updated: 25 July 2025

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1

Jarvis, Kimberley James. "Transactional data structures." Thesis, University of Manchester, 2011. https://www.research.manchester.ac.uk/portal/en/theses/transactional-data-structures(7060eaec-7dbd-4d5a-be1a-a753d9aa32d5).html.

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Concurrent programming is difficult and the effort is rarely rewarded by faster execution. The concurrency problem arises because information cannot pass instantly between processors resulting in temporal uncertainty. This thesis explores the idea that immutable data and distributed concurrency control can be combined to allow scalable concurrent execution and make concurrent programming easier. A concurrent system that does not impose a global ordering on events lends itself to a scalable distributed implementation. A concurrent programming environment in which the ordering of events affectin
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Hassan, Ahmed Mohamed Elsayed. "Designing, Modeling, and Optimizing Transactional Data Structures." Diss., Virginia Tech, 2015. http://hdl.handle.net/10919/56656.

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Transactional memory (TM) has emerged as a promising synchronization abstraction for multi-core architectures. Unlike traditional lock-based approaches, TM shifts the burden of implementing threads synchronization from the programmer to an underlying framework using hardware (HTM) and/or software (STM) components. Although TM can be leveraged to implement transactional data structures (i.e., those where multiple operations are allowed to execute atomically, all-or-nothing, according to the transaction paradigm), its intensive speculation may result in significantly lower performance than the
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Topsholm, Max. "Transactional Data Encryption View." Thesis, KTH, Skolan för informations- och kommunikationsteknik (ICT), 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-147885.

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This thesis is about the theory behind and software development of TDE View. The application produces a graphical presentation containing graphical objects, such as charts and tables, which display real time data derived from online and currently available services in Swedbank. TDE View is a long term replacement of the previous solution, TDE System Monitor, the purpose of TDE View is to provide the ability to preview the aforementioned features online instead of local deployment. Moreover, the thesis will cover aspects regarding concepts and ideas in transferring data from different hosts in
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Larson, Richard C. 1943. "Deducing Queue Statistics from Transactional Data." Massachusetts Institute of Technology, Operations Research Center, 1987. http://hdl.handle.net/1721.1/5071.

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The transactional data of a queueing system are the recorded times of service commencement and service completion for each customer served. With increasing use of computers to aid or even perform service one often has machine readable transactional data, but virtually no information about the queue itself. In this paper we propose a way to deduce the queueing behavior of Poisson arrival queueing systems from only the transactional data and the Poisson assumption. For each congestion period in which queues may form, the key quantities obtained are mean wait in queue, time-dependent mean number
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Annerwall, Staffan. "Exploring Short Text Clustering for Transactional Data." Thesis, Uppsala universitet, Institutionen för informationsteknologi, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-447520.

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The digital revolution has led to an increase in digitization of transactional information. Due to the large amount of data, the transactions must be categorized such that an overview of spending can be obtained. To aid the process of manually classifying transactions, we consider a process of clustering short text transactional data as a pre-processing step. If clusters have high homogeneity, then entire clusters, and hence multiple transactions, can be classified at once. We explore two short text clustering methods, and evaluate them on real-world data in terms of execution time and cluster
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Goehring, David (David G. ). "Decibel : transactional branched versioning for relational data systems." Thesis, Massachusetts Institute of Technology, 2016. http://hdl.handle.net/1721.1/106022.

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Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2016.<br>This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.<br>Cataloged from student-submitted PDF version of thesis.<br>Includes bibliographical references (pages 151-159).<br>As scientific endeavors and data analysis become increasingly collaborative, there is a need for data management systems that natively support the versioning or branching of datasets to enable concurrent analysi
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Apeh, Edward Tersoo. "Adaptive algorithms for real-world transactional data mining." Thesis, Bournemouth University, 2012. http://eprints.bournemouth.ac.uk/20989/.

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The accurate identification of the right customer to target with the right product at the right time, through the right channel, to satisfy the customer’s evolving needs, is a key performance driver and enhancer for businesses. Data mining is an analytic process designed to explore usually large amounts of data (typically business or market related) in search of consistent patterns and/or systematic relationships between variables for the purpose of generating explanatory/predictive data models from the detected patterns. It provides an effective and established mechanism for accurate identifica
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Davidzon, Guido Alejandro. "Using EMR transactional data for personalize clinical decision support." Thesis, Massachusetts Institute of Technology, 2010. http://hdl.handle.net/1721.1/57687.

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Thesis (S.M.)--Harvard-MIT Division of Health Sciences and Technology, 2010.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (p. 41-44).<br>Collective intelligence techniques have been used to predict stock prices, customer purchasing habits, movies and books preferences for years, yet they remain unused in the medical profession. With the increasing adoption of electronic medical records, patients' medical data has grown exponentially and thus constitutes an untapped field where similar techniques could be applied. If data were collectively farmed and intellige
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Bertsimas, Dimitris J., and Les D. Servi. "Deducing Queueing From Transactional Data: The Queue Inference Engine, Revisited." Massachusetts Institute of Technology, Operations Research Center, 1990. http://hdl.handle.net/1721.1/5190.

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Larson [1] proposed a method to statistically infer the expected transient queue length during a busy period in 0(n 5 ) solely from the n starting and stopping times of each customer's service during the busy period and assuming the arrival distribution is Poisson. We develop a new O(n3 ) algorithm which uses this data to deduce transient queue lengths as well as the waiting times of each customer in the busy period. We also develop an O(n) on line algorithm to dynamically update the current estimates for queue lengths after each departure. Moreover we generalize our algorithms for the case of
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Reiman, Minna. "Generating targeted campaigns based on transactional data using Uplift Modeling." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-279949.

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Uplift modeling is a technique to model the incremental effect of a campaign or marketing offer. The incremental effect of a campaign is measured by com- paring two customer groups - one group receiving a campaign and another group not receiving any. The goal of this technique is to reduce the cost of a campaign by identifying the most optimal targets. This study presents results from applying uplift models on customer data at Klarna, with the goal of understanding how to target campaigns effectively. To understand how targeting should be performed, a dataset has been compiled based on eight t
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Herath, Herath Mudiyanselage Isuru Prasenajith. "Data centric and adaptive source changing transactional memory with exit functionality." Thesis, University of Manchester, 2012. https://www.research.manchester.ac.uk/portal/en/theses/data-centric-and-adaptive-source-changing-transactional-memory-with-exit-functionality(b304862a-3c88-4d79-9b5f-0f7b99b7cebc).html.

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Multi-core computing is becoming ubiquitous due to the scaling limitations of single-core computing. It is inevitable that parallel programming will become the mainstream for such processors. In this paradigm shift, the concept of abstraction should not be compromised. A programming model serves as an abstraction of how programs are executed. Transactional Memory (TM) is a technique proposed to maintain lock free synchronization. Due to the simplicity of the abstraction provided by it, TM can also be used as a way of distributing parallel work, maintaining coherence and consistency. Motivated
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Briercliffe, Creagh. "Poisson Process Infinite Relational Model : a Bayesian nonparametric model for transactional data." Thesis, University of British Columbia, 2016. http://hdl.handle.net/2429/58921.

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Transactional data consists of instantaneously occurring observations made on ordered pairs of entities. It can be represented as a network---or more specifically, a directed multigraph---with edges possessing unique timestamps. This thesis explores a Bayesian nonparametric model for discovering latent class-structure in transactional data. Moreover, by pooling information within clusters of entities, it can be used to infer the underlying dynamics of the time-series data. Blundell, Beck, and Heller (2012) originally proposed this model, calling it the Poisson Process Infinite Relational Model
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Nawaz, Sabeen. "Analysis of Transactional Data with Long Short-Term Memory Recurrent Neural Networks." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-281282.

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An issue authorities and banks face is fraud related to payments and transactions where huge monetary losses occur to a party or where money laundering schemes are carried out. Previous work in the field of machine learning for fraud detection has addressed the issue as a supervised learning problem. In this thesis, we propose a model which can be used in a fraud detection system with transactions and payments that are unlabeled. The proposed modelis a Long Short-term Memory in an auto-encoder decoder network (LSTMAED)which is trained and tested on transformed data. The data is transformed by
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Callahan, Mark F. (Mark Francis). "Using transactional and spatial data to determine drivers of industrial land value." Thesis, Massachusetts Institute of Technology, 2017. http://hdl.handle.net/1721.1/113483.

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Thesis: S.M. in Real Estate Development, Massachusetts Institute of Technology, Program in Real Estate Development in conjunction with the Center for Real Estate, 2017<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 74-76).<br>The value of a given parcel of land is determined by a multitude of factors based on its location and physical characteristics. No two parcels are alike, making direct comparison between parcels and the study of underlying land values difficult. Further, in locations where land is most valuable, there are often existing improvements
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Trabold, Daniel [Verfasser]. "Mining Frequent Itemsets from Transactional Data Streams with Probabilistic Error Bounds / Daniel Trabold." Bonn : Universitäts- und Landesbibliothek Bonn, 2020. http://d-nb.info/1218301821/34.

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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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Georgeson, Lucien Tomas. "Redefining and measuring the global green economy : tracking green economy transformations using transactional data." Thesis, University College London (University of London), 2018. http://discovery.ucl.ac.uk/10060478/.

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The green economy has emerged as an important concept for sustainable development in both developed and developing countries. It presents a seemingly attractive framework to deliver more resource efficient, lower carbon, less environmentally damaging, more inclusive societies. There are tensions between competing green economy discourses and different definitions exist, which all have shortcomings. Different underlying concepts of the 'weak', 'transformational' and 'strong' green economy also exist. This thesis identifies that several important definitions focus on the aspirational 'transforma
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Crain, Tyler. "On improving the ease of use of the software transactional memory abstraction." Thesis, Rennes 1, 2013. http://www.theses.fr/2013REN1S022/document.

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Les architectures multicœurs changent notre façon d'écrire des programmes. L'écriture de programmes concurrents est bien connue pour être difficile. Traditionnellement, l'utilisation de verrous (locks) permettant au code de s'exécuter en exclusion mutuelle, a été l'abstraction la plus largement utilisée pour l'écriture des programmes concurrents. Malheureusement, il est difficile d'écrire des programmes concurrents efficaces et corrects reposant sur des verrous. En outre, les verrous présentent d'autres problèmes, notamment celui du passage à l'échelle. Le concept de mémoire transactionnelle a
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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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Hannila, H. (Hannu). "Towards data-driven decision-making in product portfolio management:from company-level to product-level analysis." Doctoral thesis, Oulun yliopisto, 2019. http://urn.fi/urn:isbn:9789526224428.

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Abstract Products and services are critical for companies as they create the foundation for companies’ financial success. Twenty per cent of company products typically account for some eighty per cent of sales volume. Nevertheless, the product portfolio decisions — how to strategically renew company product offering — tend to involve emotions, pet products and who-shout-the-loudest mentality while facts, numbers, and quantitative analyses are missing. Profitability is currently measured and reported at a company level, and firms seem unable to measure product-level profitability in a constant
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Osipenko, Denys. "Investigation into methods of predicting income from credit card holders using panel data." Thesis, University of Edinburgh, 2018. http://hdl.handle.net/1842/33178.

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A credit card as a banking product has a dual nature both as a convenient loan and a payment tool. Credit card profitability prediction is a complex problem because of the variety of the card holders' behaviour patterns, a fluctuating balance, and different sources of interest and transactional income. The state of a credit card account depends on the type of card usage and payments delinquency, and can be defined as inactive, transactor, revolver, delinquent, and default. The proposed credit cards profit prediction model consists of four stages: i) utilisation rate and interest rate income pr
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Wang, Qinjin. "Multi Data center Transaction Chain : Achieving ACID for cross data center multi-key transactions." Thesis, KTH, Skolan för informations- och kommunikationsteknik (ICT), 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-198664.

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Transaction support for Geo-replicated storage system is one of the most popular challenges in the last few years. Some systems gave up for supporting transactions and let upper application layer to handle it. While some other systems tried with different solutions on guaranteeing the correctness of transactions and paid some efforts on performance improvements. However, there are very few systems that claim the supporting of ACID in the global scale. In this thesis, we have studied on various data consistency and transaction design theories such as Paxos, transaction chopping, transaction cha
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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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Poudel, Pavan. "Tools and Techniques for Efficient Transactions." Kent State University / OhioLINK, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=kent1630591700589561.

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Poudel, Pavan. "Tools and Techniques for Efficient Transactions." Kent State University / OhioLINK, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=kent1630591700589561.

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Sengupta, Aritra. "Efficient Compiler and Runtime Support for Serializability and Strong Semantics on Commodity Hardware." The Ohio State University, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=osu149269601946527.

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Mašek, Martin. "Datové sklady - principy, metody návrhu, nástroje, aplikace, návrh konkrétního řešení." Master's thesis, Vysoká škola ekonomická v Praze, 2007. http://www.nusl.cz/ntk/nusl-10145.

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The main goal of this thesis is to summarize and introduce general theoretical concepts of Data Warehousing by using the systems approach. The thesis defines Data Warehousing and its main areas and delimitates Data Warehousing area in terms of higher-level area called Business Intelligence. It also describes the history of Data Warehousing & Business Intelligence, focuses on key principals of Data Warehouse building and explains the practical applications of this solution. The aim of the practical part is to perform the evaluation of theoretical concepts. Based on that, design and build Data W
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Herman, Nathaniel. "Memory Abstractions for Data Transactions." Thesis, Harvard University, 2015. http://nrs.harvard.edu/urn-3:HUL.InstRepos:14398537.

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This thesis presents STO, a software transactional memory (STM) based not on low-level reads and writes on memory, but on datatypes—arrays, lists, queues, hash tables, and so forth—that explicitly support transactional operations. Conventional STMs allow programmers to write concurrent code in much the same way as sequential code—thereby more easily taking advantage of multiple CPU cores. However, these conventional STMs track every memory word accessed during a transaction, so even simple operations can perform many more memory accesses for synchronization than is strictly required for transa
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Memon, Neelam. "Anonymizing large transaction data using MapReduce." Thesis, Cardiff University, 2016. http://orca.cf.ac.uk/97342/.

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Publishing transaction data is important to applications such as marketing research and biomedical studies. Privacy is a concern when publishing such data since they often contain person-specific sensitive information. To address this problem, different data anonymization methods have been proposed. These methods have focused on protecting the associated individuals from different types of privacy leaks as well as preserving utility of the original data. But all these methods are sequential and are designed to process data on a single machine, hence not scalable to large datasets. Recently, Ma
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Dey, Akon Samir. "Cherry Garcia: Transactions across Heterogeneous Data Stores." Thesis, The University of Sydney, 2015. http://hdl.handle.net/2123/14212.

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In recent years, cloud or utility computing has revolutionized the way software, hardware and network infrastructure is provisioned and deployed into production. A key component of these vast, diverse and heterogeneous systems is the persistence layer provided by a variety of data store and database services, broadly categorised into what is referred to as NoSQL (Not only SQL) databases or data stores. These come in many flavours from simple key-value stores and column stores to database services with support for SQL-like interfaces. These systems are primarily designed to operate at internet
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Chen, Jianwen, University of Western Sydney, of Science Technology and Environment College, and School of Computing and Information Technology. "Data and knowledge transaction in mobile environments." THESIS_CSTE_CIT_Chen_J.xml, 2004. http://handle.uws.edu.au:8081/1959.7/806.

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Advances in wireless networking technology have engendered a new paradigm of computing, called mobile computing; in which users carrying portable devices have access to a shared infrastructure independent of their physical location. Mobile computing has matured rapidly as a field of computer science. In environments of mobile computing, the mobility and disconnection of portable computing devices introduce many new challenging problems that have never been encountered in conventional computer networks. New research issues combine different areas of computer science: networking, operating syste
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Chen, Jianwen. "Data and knowledge transaction in mobile environments." Thesis, View thesis, 2004. http://handle.uws.edu.au:8081/1959.7/806.

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Advances in wireless networking technology have engendered a new paradigm of computing, called mobile computing; in which users carrying portable devices have access to a shared infrastructure independent of their physical location. Mobile computing has matured rapidly as a field of computer science. In environments of mobile computing, the mobility and disconnection of portable computing devices introduce many new challenging problems that have never been encountered in conventional computer networks. New research issues combine different areas of computer science: networking, operating syste
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Chen, Jianwen. "Data and knowledge transaction in mobile environments." View thesis, 2004. http://library.uws.edu.au/adt-NUWS/public/adt-NUWS20050729.131812/index.html.

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Thesis (Ph.D.) -- University of Western Sydney, 2004.<br>A thesis submitted in fulfillment of the requirements for the degree of Doctor of Philosophy (Science) - Computing and Information Technology. Includes bibliography.
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Nyland, Robert Scott. "Using Transaction-Level Data in Online Assessment." BYU ScholarsArchive, 2016. https://scholarsarchive.byu.edu/etd/6437.

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This article format dissertation explores the benefits of using detailed forms of assessment to enable feedback in educational contexts, and includes three separate, yet related articles. In the first article, I reviewed the current state of educational research in using online learning tools that collect detailed data regarding student learning. The article examined the type of data being collected, the way that these data are processed, and how the results are presented to instructors and students as feedback. In the second article, I describe a special case of these detailed forms of ass
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Ogunyadeka, Adewole C. "Transactions and data management in NoSQL cloud databases." Thesis, Oxford Brookes University, 2016. https://radar.brookes.ac.uk/radar/items/c87fa049-f8c7-4b9e-a27c-3c106fcda018/1/.

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NoSQL databases have become the preferred option for storing and processing data in cloud computing as they are capable of providing high data availability, scalability and efficiency. But in order to achieve these attributes, NoSQL databases make certain trade-offs. First, NoSQL databases cannot guarantee strong consistency of data. They only guarantee a weaker consistency which is based on eventual consistency model. Second, NoSQL databases adopt a simple data model which makes it easy for data to be scaled across multiple nodes. Third, NoSQL databases do not support table joins and referent
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Huang, Kai 1980. "Data-race detection in transactions-everywhere parallel programming." Thesis, Massachusetts Institute of Technology, 2003. http://hdl.handle.net/1721.1/16964.

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Thesis (M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2003.<br>Includes bibliographical references (p. 69-72).<br>This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.<br>This thesis studies how to perform dynamic data-race detection in programs using "transactions everywhere", a new methodology for shared-memory parallel programming. Since the conventional definition of a data race does not make sense in the transactions-everywhere methodology, t
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Liao, ChenHan. "Transaction-filtering data mining and a predictive model for intelligent data management." Thesis, Cranfield University, 2008. http://dspace.lib.cranfield.ac.uk/handle/1826/7027.

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This thesis, first of all, proposes a new data mining paradigm (transaction-filtering association rule mining) addressing a time consumption issue caused by the repeated scans of original transaction databases in conventional associate rule mining algorithms. An in-memory transaction filter is designed to discard those infrequent items in the pruning steps. This filter is a data structure to be updated at the end of each iteration. The results based on an IBM benchmark show that an execution time reduction of 10% - 19% is achieved compared with the base case. Next, a data mining-based predicti
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Ivanchuk, Nataliya. "Evaluating the liquidity of stocks using transaction data." [S.l. : s.n.], 2005. http://www.bsz-bw.de/cgi-bin/xvms.cgi?SWB11675427.

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Pu, Calton. "Replication and nested transactions in the Eden Distributed System /." Thesis, Connect to this title online; UW restricted, 1986. http://hdl.handle.net/1773/6881.

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Păun, Radu Adrian. "Three transaction cost economics essays which use Romanian data." College Park, Md. : University of Maryland, 2007. http://hdl.handle.net/1903/6674.

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Thesis (Ph. D.) -- University of Maryland, College Park, 2007.<br>Thesis research directed by: Economics. Title from t.p. of PDF. Includes bibliographical references. Published by UMI Dissertation Services, Ann Arbor, Mich. Also available in paper.
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Quoreshi, Shahiduzzaman. "Time series modelling of high frequency stock transaction data." Doctoral thesis, Umeå : Department of Economics, Umeå universitet, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-757.

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Hahsler, Michael. "A model-based frequency constraint for mining associations from transaction data." Institut für Informationsverarbeitung und Informationswirtschaft, WU Vienna University of Economics and Business, 2004. http://epub.wu.ac.at/1760/1/document.pdf.

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In this paper we develop an alternative to minimum support which utilizes knowledge of the process which generates transaction data and allows for highly skewed frequency distributions. We apply a simple stochastic model (the NB model), which is known for its usefulness to describe item occurrences in transaction data, to develop a frequency constraint. This model-based frequency constraint is used together with a precision threshold to find individual support thresholds for groups of associations. We develop the notion of NB-frequent itemsets and present two mining algorithms which find all N
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Yahalom, Raphael. "Managing the order of transactions in widely-distributed data systems." Thesis, University of Cambridge, 1990. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.359877.

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Wilkenloh, Christopher Joselane. "Design of a reliable message transaction protocol." Thesis, Georgia Institute of Technology, 1989. http://hdl.handle.net/1853/8307.

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Safari, Arash. "Visualization of E-commerce Transaction Data : USING BUSINESS INTELLIGENCE TOOLS." Thesis, KTH, Skolan för informations- och kommunikationsteknik (ICT), 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-177461.

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Customer Value(CV) is a data analytics company experiencing problems presenting the result of their analytics in a satisfiable manner. As a result, they considered the use of a data visualization and business intelligence softwares. The purpose of such softwares are to, amongst other things, virtually represent data in an interactive and perceptible manner to the viewer. There are however a large number of these types of applications on the market, making it hard for companies to find the one that best suits their purposes. CV is one such company, and this report was done on behalf of them wit
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Vicente, Tomás Ferreira Martins Pereira. "The impact of Covid-19 on transaction data in Portugal." Master's thesis, Instituto Superior de Economia e Gestão, 2020. http://hdl.handle.net/10400.5/20705.

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Mestrado em Finanças<br>Esta dissertação analisa o impacto da pandemia COVID-19 em dados regionais de transações em Portugal. Mais especificamente, o impacto regional é ponderado, assim como o impacto em diversas características dos municípios. Os dados usados são provenientes do INE, PORDATA e DGS e consideramos características económicas, demográficas e sociais em 278 concelhos de Portugal continental de 2015 a 2020. O método OLS de regressão é usado para efetuar a analise estatística. Estudos anteriormente realizados sugerem um aumento das transações antes da pandemia, como forma de açamba
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48

Flodin, Anton. "Leerec : A scalable product recommendation engine suitable for transaction data." Thesis, Mittuniversitetet, Avdelningen för informationssystem och -teknologi, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-33941.

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We are currently living in the Internet of Things (IoT) era, which involves devices that are connected to Internet and are communicating with each other. Each year, the number of devices increases rapidly, which result in rapid growth of data that is generated. This large amount of data is sometimes titled as Big Data, which is generated from different sources, such as log data of user behavior. These log files can be collected and analyzed in different ways, such as creating product recommendations. Product recommendations have been around since the late 90s, when the amount of data collected
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Ong, Hoang. "Semantic attack on transaction data anonymised by set-based generalisation." Thesis, Cardiff University, 2015. http://orca.cf.ac.uk/74553/.

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Publishing data that contains information about individuals may lead to privacy breaches. However, data publishing is useful to support research and analysis. Therefore, privacy protection in data publishing becomes important and has received much recent attention. To improve privacy protection, many researchers have investigated how secure the published data is by designing de-anonymisation methods to attack anonymised data. Most of the de-anonymisation methods consider anonymised data in a syntactic manner. That is, items in a dataset are considered to be contextless or even meaningless lite
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Schwake, Gregor. "Dependency verification for electronic data interchange with binary decision diagrams." Thesis, Northumbria University, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.391089.

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