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Relevant bibliographies by topics / Data issues

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Academic literature on the topic 'Data issues'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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Journal articles on the topic "Data issues"

1

Singh, Gurdas, and Dr Jaiteg Singh. "Querying RDF Data: Methods and Issues." Indian Journal of Applied Research 3, no. 2 (2011): 144–45. http://dx.doi.org/10.15373/2249555x/feb2013/50.

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Kumar, S. Senthil, and Ms V. Kirthika. "Big Data Analytics Architecture and Challenges, Issues of Big Data Analytics." International Journal of Trend in Scientific Research and Development Volume-1, Issue-6 (2017): 669–73. http://dx.doi.org/10.31142/ijtsrd4673.

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Mrs., Sowmya A. N., Madhavi R. K. Mrs., and Rajani Byakodi Mrs. "Exploring Big Data Analytics: Issues and Tools." IJAPR Journal UGC Indexed 6, no. 2 (2018): 24–34. https://doi.org/10.5281/zenodo.14882169.

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A huge repository of terabytes of data is generated each day from modern information systems and digital technologies such as Internet of Things and cloud computing. Analysis of these massive data requires a lot of effort at multiple levels to extract knowledge for decision making. Therefore, big data analysis is a current area of research and development. The basic objective of this paper is to explore the potential impact of big data challenges, open research issues, and various tools associated with it. As a result, this article provides a platform to explore big data at numerous stages. Ad

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Gross, Michael. "New data issues." Current Biology 20, no. 18 (2010): R790—R791. http://dx.doi.org/10.1016/j.cub.2010.09.022.

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Gill, Rupali, and Jaiteg Singh. "A Review of Contemporary Data Quality Issues in Data Warehouse ETL Environment." Journal on Today's Ideas - Tomorrow's Technologies 2, no. 2 (2014): 153–60. http://dx.doi.org/10.15415/jotitt.2014.22012.

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Raviteja Boppana, Venkat. "Data Ethics in CRM: Privacy and Transparency Issues." International Journal of Science and Research (IJSR) 12, no. 11 (2023): 2234–41. http://dx.doi.org/10.21275/sr231115110701.

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Bhakare, Parimal, and Shaini Suraj. "Data Mining in Healthcare: Current Applications and Issues." International Journal of Science and Research (IJSR) 11, no. 11 (2022): 1129–31. http://dx.doi.org/10.21275/sr221118072136.

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Anthony, Denis. "Issues in data analysis." Nurse Researcher 22, no. 5 (2015): 6–7. http://dx.doi.org/10.7748/nr.22.5.6.s2.

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Alnaji, Loay A., Shorouq F. Eletter, and Ghaleb A. El Refae. "Big data: ethical issues." Global Business and Economics Review 21, no. 1 (2019): 69. http://dx.doi.org/10.1504/gber.2019.096859.

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Alnaji, Loay A., Shorouq F. Eletter, and Ghaleb A. El Refae. "Big data: ethical issues." Global Business and Economics Review 21, no. 1 (2019): 69. http://dx.doi.org/10.1504/gber.2019.10017581.

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Dissertations / Theses on the topic "Data issues"

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Remesan, Renji. "Data based Modelling Issues in Hydroinformatics." Thesis, University of Bristol, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.520188.

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McNulty, Peggy Sue. "Values issues in biometric data collection." Connect to Electronic Thesis (CONTENTdm), 2009. http://worldcat.org/oclc/525070842/viewonline.

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De, Nadai Michele. "Measurement Error Issues in Consumption Data." Doctoral thesis, Università degli studi di Padova, 2011. http://hdl.handle.net/11577/3421980.

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Data available in commonly employed consumer surveys, like the \emph{Consumer Expenditure Survey} in the US, are widely known to be affected by measurement errors. Ignoring the effect of such errors in the estimation of consumption models may result in severely biased estimates of the quantities of interest. In this thesis I consider identification of three different models of consumption behavior allowing for the presence of measurement errors. Identification is particularly difficult to achieve due to the high non-linearity of the specifications involved and to peculiarities of consumpti

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Oller, Piqué Ramon. "Survival analysis issues with interval-censored data." Doctoral thesis, Universitat Politècnica de Catalunya, 2006. http://hdl.handle.net/10803/6520.

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L'anàlisi de la supervivència s'utilitza en diversos àmbits per tal d'analitzar dades que mesuren el temps transcorregut entre dos successos. També s'anomena anàlisi de la història dels esdeveniments, anàlisi de temps de vida, anàlisi de fiabilitat o anàlisi del temps fins a l'esdeveniment. Una de les dificultats que té aquesta àrea de l'estadística és la presència de dades censurades. El temps de vida d'un individu és censurat quan només és possible mesurar-lo de manera parcial o inexacta. Hi ha diverses circumstàncies que donen lloc a diversos tipus de censura. La censura en un interval fa r

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Tan, Geok Leng. "Design issues in Trellis Coded Data Modulation." Thesis, University of Cambridge, 1990. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.358810.

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Prevost, David Allan. "Security issues in the Defense Data Network." Thesis, Monterey, California. Naval Postgraduate School, 1992. http://hdl.handle.net/10945/24031.

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Grek, Åsa. "Nonresponse issues when analysing business survey data." Licentiate thesis, Högskolan Dalarna, Mikrodataanalys, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:du-28524.

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Data issues due to nonresponse or missing data arises often in company surveys or in firm data. Missing data and nonresponse causes bias. Another problem that causes bias is omitted variables. Accordingly, it will lead to wrong conclusions. The idea behind this licentiate thesis is to address these problems. The aim is to develop an insight into how common problems can be solved by transforming the data and changing the statistical method. There is no claim that the method suggested in the papers is always optimal. Rather, the goal of the papers is to give an awareness of problems that occurs

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Li, Lifeng. "Security, Computation and Data Issues in Clouds." Thesis, Arkansas State University, 2017. http://pqdtopen.proquest.com/#viewpdf?dispub=10288061.

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<p> Recently, Cloud has become quite attractive due to its elasticity, availability, and scalability. However, the technologies such as virtualization build up Cloud appear like a double-edged sword because of the expansion on attacking surfaces to entire hardware-software stack. Moreover, homogeneous computing in Cloud severely limits the computational power it could potentially provide. As a result, it is strongly desired to have new and comprehensive solutions to take in all benefits from Cloud and suppress backsides. This thesis proposes three new solutions to address security, computation

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Polworth, Dean. "Issues in interpreting student feedback statistical data." Thesis, Loughborough University, 2001. https://dspace.lboro.ac.uk/2134/35214.

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Student feedback ratings are becoming an increasingly utilised means of measuring the quality of the student learning experience in U.K. universities. Despite this there has been little published statistical analysis on student feedback ratings using U.K. data. The research explores whether lecturers should have confidence in the validity of the student feedback ratings they receive. Guidance in the presentation and interpretation of the data is offered. This is intended to facilitate a more sophisticated understanding of the data, allowing decisions based on it to be made on a more informed b

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Dersche, Klara Maria, and Philip Nord. "Usability Issues within Technical Data Management Systems." Thesis, Tekniska Högskolan, Högskolan i Jönköping, JTH, Datateknik och informatik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-44622.

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The purpose of this thesis is to explore and study the usability issues within Technical Data Management Systems (TDMS). The research has been conducted as a single case study at the gardening and landscape maintenance company Husqvarna. The inductive research led to conducting 10 interviews, 2 expert focus groups and a observational study. An artefact was produced during the research to emulate a potential system. During the research, the researchers identified ten heuristic usability issues within TDMS. Fur- thermore the functional and non-functional needs of Husqvarna have been identified.

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Books on the topic "Data issues"

1

County Planning Officers Society. Computers and Information Working Group., ed. Environmental data issues. County Planning Officers Society, 1993.

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Wierse, Andreas, Georges G. Grinstein, and Ulrich Lang, eds. Database Issues for Data Visualization. Springer Berlin Heidelberg, 1996. http://dx.doi.org/10.1007/3-540-62221-7.

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Lee, John P., and Georges G. Grinstein, eds. Database Issues for Data Visualization. Springer Berlin Heidelberg, 1994. http://dx.doi.org/10.1007/bfb0021138.

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Xiao, Norah, and Leah Rae McEwen, eds. Special Issues in Data Management. American Chemical Society, 2012. http://dx.doi.org/10.1021/bk-2012-1110.

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Office, General Accounting. Medicare/medicaid data bank issues. The Office, 1993.

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United States. General Accounting Office. Human Resources Division, ed. Medicare/medicaid data bank issues. The Office, 1993.

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Office, General Accounting. Medicare/medicaid data bank issues. The Office, 1993.

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K, Kadekodi G., Murty, G. V. S. N., and Indian Econometric Society, eds. Poverty in India: Data base issues. Vikas Pub. House, 1992.

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United States. National Aeronautics and Space Administration., ed. Some issues in data model mapping. University of Southwestern Louisiana, Center for Advanced Computer Studies, 1989.

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Kitchens, Christine. Federal sentencing data and analysis issues. U.S. Sentencing Commission, 2010.

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Book chapters on the topic "Data issues"

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Evensen, Geir. "Rank issues." In Data Assimilation. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-03711-5_14.

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Raslear, Thomas G. "Data Issues." In Human Factors in the U.S. Railroad Industry. CRC Press, 2025. https://doi.org/10.1201/9781003500018-5.

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O’Hare, William P. "Communication Issues." In Data-Based Child Advocacy. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-07830-4_4.

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Rathgeber, Wolfgang. "Data transfer issues." In The Fair and Responsible Use of Space. Springer Vienna, 2010. http://dx.doi.org/10.1007/978-3-211-99653-9_8.

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Cleophas, Ton J., and Aeilko H. Zwinderman. "Data Dispersion Issues." In Statistics Applied to Clinical Studies. Springer Netherlands, 2011. http://dx.doi.org/10.1007/978-94-007-2863-9_13.

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Mans, Ronny S., Wil M. P. van der Aalst, and Rob J. B. Vanwersch. "Data Quality Issues." In Process Mining in Healthcare. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-16071-9_6.

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Warren-Hicks, W. "Data Analysis Issues." In Pesticide Risk Assessment for Pollinators. John Wiley & Sons, Inc., 2014. http://dx.doi.org/10.1002/9781118852408.ch12.

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Moraga, Paula. "Areal data issues." In Spatial Statistics for Data Science. Chapman and Hall/CRC, 2023. http://dx.doi.org/10.1201/9781032641522-11.

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Chen, Min, Shiwen Mao, Yin Zhang, and Victor C. M. Leung. "Open Issues and Outlook." In Big Data. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-06245-7_7.

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Sacco, Andres. "Detecting Performance Issues." In Beginning Spring Data. Apress, 2022. http://dx.doi.org/10.1007/978-1-4842-8764-4_13.

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Conference papers on the topic "Data issues"

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Duffy, A. P. "Issues in Quantitative Data Analysis." In 15th International Zurich Symposium and Technical Exposition on Electromagnetic Compatibility. IEEE, 2003. https://doi.org/10.23919/emc.2003.10806193.

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Neves, Pedro, and Jorge Bernardino. "Big Data Issues." In the 19th International Database Engineering & Applications Symposium. ACM Press, 2014. http://dx.doi.org/10.1145/2790755.2790785.

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Kaufman, J. G. "ISSUES IN NETWORKING MATERIALS DATABASES." In Data For Discovery. Begellhouse, 2023. http://dx.doi.org/10.1615/1-56700-002-9.280.

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Rao, Dhana, Venkat N. Gudivada, and Vijay V. Raghavan. "Data quality issues in big data." In 2015 IEEE International Conference on Big Data (Big Data). IEEE, 2015. http://dx.doi.org/10.1109/bigdata.2015.7364065.

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Tescher, Andrew G., John T. Reagan, John A. Saghri, Keith D. Hutchison, Dave Paul, and Phillip C. Topping. "Environmental data compression issues." In Optical Science, Engineering and Instrumentation '97, edited by Andrew G. Tescher. SPIE, 1997. http://dx.doi.org/10.1117/12.292765.

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Marković, Mirko, Nikola Davidović, Milan Vesković, Srđan Nogo, and Jelena Govedarica. "Issues During Data Migration." In Proceedings TIЕ 2024. University of Kragujevac, Faculty of Technical Sciences, Čačak, 2024. http://dx.doi.org/10.46793/tie24.144m.

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Virtualization represents one of the key technologies in modern computing, offering numerous advantages such as running multiple operating systems on a single computer, efficient resource utilization, process execution independence from specific hardware, and enhanced data security. This paper presents the process of virtual machine migration, including migration from one physical server to another without interrupting application operations. Additionally, it discusses some of the key benefits of virtual machines in various contexts, such as resource isolation, resource allocation flexibility,

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Vasanthi, Duvvuru, and V. J. Sowmya. "Data storage security issues." In SMART GRID & ELECTRIC VEHICLE. AIP Publishing, 2024. http://dx.doi.org/10.1063/5.0215548.

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Yesmin, Tahamina, and Kisalaya Chakrabarti. "IMPROVING DATA VALIDATION USING MACHINE LEARNING, A NEW WAYS OF SEEING BIG DATA." In CONTEMPORARY ISSUES IN COMPUTING. VOLKSON PRESS, 2020. http://dx.doi.org/10.26480/cic.01.2020.54.58.

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Arai, Koki. "Data Distribution and Competition Law Issues." In 2021 IEEE International Conference on Big Data (Big Data). IEEE, 2021. http://dx.doi.org/10.1109/bigdata52589.2021.9671329.

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Jo, Joshua S., and Tomas D. Milster. "Tolerance issues in solid immersion lens systems." In Optical Data Storage, edited by Terril Hurst and Seiji Kobayashi. SPIE, 2002. http://dx.doi.org/10.1117/12.453426.

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Reports on the topic "Data issues"

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Tolstoy, A. Inversion Issues for the SW06 Data. Defense Technical Information Center, 2008. http://dx.doi.org/10.21236/ada533575.

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Graham, Marc H. Issues in Real-Time Data Management. Defense Technical Information Center, 1991. http://dx.doi.org/10.21236/ada240712.

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Nurre, Joseph H., Jennifer Whitestone, Dennis B. Burnsides, and David M. Hoeferlin. Issues for Data Reduction of Dense Three-Dimensional Data. Defense Technical Information Center, 1998. http://dx.doi.org/10.21236/ada387393.

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Leal, L. C., W. C. Jordan, and R. Q. Wright. Nuclear data for criticality safety - current issues. Office of Scientific and Technical Information (OSTI), 1995. http://dx.doi.org/10.2172/74110.

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McCarthy, J. L. Data interchange standards for biotechnology: Issues and alternatives. Office of Scientific and Technical Information (OSTI), 1990. http://dx.doi.org/10.2172/6438487.

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Holland Michel, Arthur. Known Unknowns: Data Issues and Military Autonomous Systems. United Nations Institute for Disarmament Research, 2021. http://dx.doi.org/10.37559/sectec/21/ai1.

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This report describes common data issues for autonomous systems and explains how they give rise to "known unknown" failures. It then explores the legal and operational implications of such failures, and considers a range of potential policy and technical solutions by which they could be addressed.

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Nesenbergs, Martin. Image Data Compression Overview: Issues and Partial Solutions. Institute for Telecommunication Sciences, 1989. https://doi.org/10.70220/mk48dt71.

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Köll, Rebekka, and Daniel Neyer. Monitoring data analysis on technical issues & on performances. IEA SHC Task 53, 2019. http://dx.doi.org/10.18777/ieashc-task53-2019-0011.

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Kerr, C., N. McTyer, G. Holman, and C. De Grange. Performance Analysis: Issues Tracking System Data through June 2013. Office of Scientific and Technical Information (OSTI), 2014. http://dx.doi.org/10.2172/1132021.

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Kerr, C., G. Holman, and N. McTyer. Performance Analysis: Issues Tracking System Data through September 2011. Office of Scientific and Technical Information (OSTI), 2012. http://dx.doi.org/10.2172/1059079.

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