Relevant bibliographies by topics / Data requirements

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Data requirements'

Author: Grafiati
Published: 4 June 2021
Last updated: 13 February 2022

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Journal articles on the topic "Data requirements"

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Iezzoni, Lisa I. "Data Requirements." Medical Care 28, no. 9 (September 1990): 758–59. http://dx.doi.org/10.1097/00005650-199009000-00003.

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Aiken, Peter, Youngohc Yoon, and Belkis Leong-Hong. "Requirements-driven data engineering." Information & Management 35, no. 3 (March 1999): 155–68. http://dx.doi.org/10.1016/s0378-7206(98)00082-2.

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Taylor‐Adams, Sally, and Barry Kirwan. "Human reliability data requirements." International Journal of Quality & Reliability Management 12, no. 1 (February 1995): 24–46. http://dx.doi.org/10.1108/02656719510076221.

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Jukic, Nenad, and Miguel Velasco. "Data Warehousing Requirements Collection and Definition." International Journal of Business Intelligence Research 1, no. 3 (July 2010): 66–76. http://dx.doi.org/10.4018/jbir.2010070105.

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Defining data warehouse requirements is widely recognized as one of the most important steps in the larger data warehouse system development process. This paper examines the potential risks and pitfalls within the data warehouse requirement collection and definition process. A real scenario of a large-scale data warehouse implementation is given, and details of this project, which ultimately failed due to inadequate requirement collection and definition process, are described. The presented case underscores and illustrates the impact of the requirement collection and definition process on the data warehouse implementation, while the case is analyzed within the context of the existing approaches, methodologies, and best practices for prevention and avoidance of typical data warehouse requirement errors and oversights.
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Okcu, Hüseyin. "Operational Requirements of Unmanned Aircraft Systems Data Link and Communication Systems." Journal of Advances in Computer Networks 4, no. 1 (2016): 28–32. http://dx.doi.org/10.18178/jacn.2016.4.1.199.

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RAYNER, R. F. "TECHNICAL NOTE. FIELD DATA REQUIREMENTS." Proceedings of the Institution of Civil Engineers - Water Maritime and Energy 96, no. 3 (September 1992): 201–3. http://dx.doi.org/10.1680/iwtme.1992.21091.

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Alekseev, A. P., M. I. Makarov, and V. V. Orlov. "Data protection educational material requirements." Infokommunikacionnye tehnologii 13, no. 3 (September 2015): 333–38. http://dx.doi.org/10.18469/ikt.2015.13.3.15.

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Barbará, Daniel. "Requirements for clustering data streams." ACM SIGKDD Explorations Newsletter 3, no. 2 (January 2002): 23–27. http://dx.doi.org/10.1145/507515.507519.

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Beaton, George H. "Nutrient requirements and population data." Proceedings of the Nutrition Society 47, no. 1 (February 1988): 63–78. http://dx.doi.org/10.1079/pns19880011.

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Maalej, Walid, Maleknaz Nayebi, Timo Johann, and Guenther Ruhe. "Toward Data-Driven Requirements Engineering." IEEE Software 33, no. 1 (January 2016): 48–54. http://dx.doi.org/10.1109/ms.2015.153.

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Dissertations / Theses on the topic "Data requirements"

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Meyer, Harald, and Dominik Kuropka. "Requirements for service composition." Universität Potsdam, 2005. http://opus.kobv.de/ubp/volltexte/2009/3309/.

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Beckman, Joseph M. "Legal requirements of secure systems." Thesis, Kansas State University, 1985. http://hdl.handle.net/2097/9822.

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Fuller, Sean P. "Satisfying naval low data mobile communication requirements." Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 1997. http://handle.dtic.mil/100.2/ADA339164.

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Holma, Erik. "Data Requirements for a Look-Ahead System." Thesis, Linköping University, Department of Electrical Engineering, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-10197.

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Look ahead cruise control deals with the concept of using recorded topographic road data combined with a GPS to control vehicle speed. The purpose of this is to save fuel without a change in travel time for a given road. This thesis explores the sensitivity of different disturbances for look ahead systems. Two different systems are investigated, one using a simple precalculated speed trajectory without feedback and the second based upon a model predictive control scheme with dynamic programming as optimizing algorithm.

Defect input data like bad positioning, disturbed angle data, faults in mass estimation and wrong wheel radius are discussed in this thesis. Also some investigations of errors in the environmental model for the systems are done. Simulations over real road profiles with two different types of quantization of the road slope data are done. Results from quantization of the angle data in the system are important since quantization will be unavoidable in an implementation of a topographic road map.

The results from the simulations shows that disturbance of the fictive road profiles used results in quite large deviations from the optimal case. For the recorded real road sections however the differences are close to zero. Finally conclusions of how large deviations from real world data a look ahead system can tolerate are drawn.

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Dulaney, D. R., Kurt J. Maier, and Phillip R. Scheuerman. "Data Requirements for Developing Effective Pathogen TMDLs." Digital Commons @ East Tennessee State University, 2005. https://dc.etsu.edu/etsu-works/2938.

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Keerthi, Thomas. "Distilling mobile privacy requirements from qualitative data." Thesis, Open University, 2014. http://oro.open.ac.uk/40121/.

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As mobile computing applications have become commonplace, it is increasingly important for them to address end-users' privacy requirements. Mobile privacy requirements depend on a number of contextual socio-cultural factors to which mobility adds another level of contextual variation. However, traditional requirements elicitation methods do not sufficiently account for contextual factors and therefore cannot be used effectively to represent and analyse the privacy requirements of mobile end users. On the other hand, methods that investigate contextual factors tend to produce data which can be difficult to use for requirements modelling. To address this problem, we have developed a Distillation approach that employs a problem analysis model to extract and refine privacy requirements for mobile applications from raw data gathered through empirical studies involving real users. Our aim was to enable the extraction of mobile privacy requirements that account for relevant contextual factors while contributing to the software design and implementation process. A key feature of the distillation approach is a problem structuring framework called privacy facets (PriF). The facets in the PriF framework support the identification of privacy requirements from different contextual perspectives namely - actors, information, information-flows and places. The PriF framework also aids in uncovering privacy determinants and threats that a system must take into account in order to support the end-user's privacy. In this work, we first show the working of distillation using qualitative data taken from an empirical study which involved social-networking practices of mobile users. As a means of validating distillation, another distinctly separate qualitative dataset from a location-tracking study is used, in both cases, the empirical studies relate to privacy issues faced by real users observed in their mobile environment.
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Korziuk, Kamil, and Tomasz Podbielski. "Engineering Requirements for platform, integrating health data." Thesis, Blekinge Tekniska Högskola, Institutionen för tillämpad signalbehandling, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-16089.

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In the world that we already live people are more and more on the run and population ageing significantly raise, new technologies are trying to bring best they can to meet humans’ expectations. Survey’s results, that was done during technology conference with elderly on Blekinge Institute of Technology showed, that no one of them has any kind of help in their home but they would need it. This Master thesis present human health state monitoring to focus on fall detection. Health care systems will not completely stop cases when humans are falling down, but further studying causes can prevent them.In this thesis, integration of sensors for vital parameters measurements, human position and measured data evaluation are presented. This thesis is based on specific technologies compatible with Arduino Uno and Arduino Mega microcontrollers, measure sensors and data exchange between data base, MATLAB/Simulink and web page. Sensors integrated in one common system bring possibility to examine the patient health state and call aid assistance in case of health decline or serious injury risk.System efficiency was based on many series of measurement. First phase a comparison between different filter was carried out to choose one with best performance. Kalman filtering and trim parameter for accelerometer was used to gain satisfying results and the final human fall detection algorithm. Acquired measurement and data evaluation showed that Kalmar filtering allow to reach high performance and give the most reliable results. In the second phase sensor placement was tested. Collected data showed that human fall detection is correctly recognized by system with high accuracy. Designed system as a result allow to measure human health and vital state like: temperature, heartbeat, position and activity. Additionally, system gives online overview possibility with actual health state, historical data and IP camera preview when alarm was raised after bad health condition.
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Mize, Dennis. "A Study of Requirements Volatility and Footprint Visualization Properties in Evolving Use Case Data Sets." NSUWorks, 2012. http://nsuworks.nova.edu/gscis_etd/251.

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Current Requirements Engineering (RE) mechanisms used to measure Requirements Volatility (RV) employ textual-based artifacts for tracking changes to software requirements that primarily consist of detailed requirements documents that are difficult to understand by most software system stakeholders making it almost impossible for these stakeholders to gain a clear picture of how changes to a requirement will impact the total system overall. Research in the area of RE visualizations have proven that graphically representing software information in the form of visualizations can communicate complex information regarding requirements to system stakeholders in a manner that does not require an in-depth knowledge of RE technical documentation. This research used the concepts of Footprint Visualizations (FVs) to graphically represent software requirements as they evolved over time and analyzed these FV image artifacts to determine RV ratings. This work successfully demonstrated the use of FV analysis to measure RV. This work performed a qualitative study that compared the relationship between the RV ratings that were determined using the FV-based analysis methods proposed in this work to the RV ratings determined using traditional non-visual RV methods that relied on subject matter expert evaluation of a common requirements use case data set. The results of this study expanded the body of knowledge in the field of Requirements Engineering Visualization by demonstrating new analysis methods for measuring volatility in requirements use cases as they evolve over the software development life cycle process in order to aid system stakeholders in understanding the effects of changes made to requirements regardless of the individual stakeholders level of technical requirements documentation training.
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Hedman, Per. "Requirement specification Editor : REQUIREMENTS EDITOR BASED ON CONTRACT THEORY." Thesis, KTH, Skolan för informations- och kommunikationsteknik (ICT), 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-177130.

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Vid utveckling av tyngre fordon inför man allt fler avancerade funktione. Mycket av denna funktionalitet handlar om att maskiner automatiskt ska utföra uppgifter för att assistera föraren. Detta leder till att nya risker uppstår. Och till följd av detta har man börjat skapa nya funktionella säkerhetsstandarder. ISO 26262 är en ny funktionell säkerhetsstandard som finns för vanliga personbilar men som ännu inte trätt i kraft för lastbilar. I ISO-26262 standarden ska krav kunna mappas till andra krav samt till systemarkitektur. I nuläget finns det vissa verktyg på marknaden som stödjer användaren när den skriver kravspecifikationer. Men undersökningar av verktyg ledde till att vi kommit fram till att alla hade någon brist. Och ingen hade bra stöd för mappning mellan krav och systemarkitektur. I detta examensarbete har arbetet varit att testa implementera funktionalitet för ett verktyg som assisterar användaren på olika sätt när den skriver kravspecifikationer. Baserat på kontraktteori och konceptet om portar som hjälp för att koppla samman krav med systemarkitektur ska applikationen se till att det finns en formell koppling mellan dessa. För att testa och validera att portar går att använda för att testa intressant funktionalitet har också en applikation utvecklats där mycket funktionalitet implementerats. Resultatet har varit lyckat då vi baserat på kontraktteori lyckats implementera och validera att det är möjligt att använda portar för att skapa koppling mellan krav och systemarkitektur, samt mellan krav och krav. Validering av att det valda lagringsformatet JSON också förser implementeraren med nog starkt stöd för att kunna spara dessa krav så att data i filerna kan brytas ner och lagras i temporära databasen Neo4J och på så sätt skapa ett fungerande kretslopp.
When developing new heavy vehicles today demands for increasingly more advanced features are asked for. A lot of the new functionality is about machines performing tasks automatically to assist the driver when driving. This leads to new risks, and as a result a new functional safety standard has been created. ISO 26262 is a functional safety standard that today exists for ordinary cars, but has not yet became a standard for trucks. According to the ISO 26262-standard requirements can be mapped to other requirements as well as to the system architecture. At present there are several tools on the market that supports the user when writing specifications. However, our research of the tools has led us to conclude that all lacked something. For example neither of the tools had good support for mapping between requirements and system architecture. In this thesis work, functionality for a tool which is supposed to support the user in various ways when writing requirements specifications was to be examined. Based on contract theory and the concept of ports that links requirements together with system architecture, an application can ensure that there is a formal link between the two. To test the suggested functionality a prototype is being developed. The result has been a successful as we based on contract theory could validate that using ports to create links between different requirements as well as between requirements and system architecture works through the implementation of the tool. Validation that the selected storage format JSON also provides the implementer with enough support to save the requirements in a way so that the data files can be decomposed and stored in the Neo4J database.
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Birkes, Angela Yvette. "Multimedia data definition and requirements for construction applications." Diss., Georgia Institute of Technology, 1999. http://hdl.handle.net/1853/20930.

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Books on the topic "Data requirements"

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Prakash, Naveen, and Deepika Prakash. Data Warehouse Requirements Engineering. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-7019-8.

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Lee, Sun-Hee. Women's health data requirements. Canberra: Australian Govt. Pub. Service, 1988.

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Patton, Glenn E., ed. Functional Requirements for Authority Data. Berlin, New York: Walter de Gruyter – K. G. Saur, 2009. http://dx.doi.org/10.1515/9783598440397.

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Wang, Y. Richard. Data quality requirements analysis and modeling. Cambridge, Mass: Alfred P. Sloan School of Management, Massachusetts Institute of Technology, 1992.

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Wang, Y. Richard. Data quality requirements analysis and modeling. Cambridge, Mass: Alfred P. Sloan School of Management, Massachusetts Institute of Technology, 1992.

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National Center for Health Services Research and Health Care Technology Assessment (U.S.), ed. Data requirements for long-term care insurance. Rockville, MD: National Center for Health Services Research and Health Care Technology Assessment, U.S. Dept. of Health and Human Services, Public Health Service, 1989.

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Qiang, Jin. Demystifying FRAD: Functional requirements for authority data. Santa Barbara, California: Libraries Unlimited, 2012.

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Liu, Lin, and Mikio Aoyama, eds. Requirements Engineering in the Big Data Era. Berlin, Heidelberg: Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-662-48634-4.

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Zeng, Marcia Lei, Maja Zumer, Athena Salaba, and IFLA Working Group on the Functiona, eds. Functional Requirements for Subject Authority Data (FRSAD). Berlin, New York: DE GRUYTER SAUR, 2011. http://dx.doi.org/10.1515/9783110263787.

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Fuller, Sean P. Satisfying naval low data mobile communication requirements. Monterey, Calif: Naval Postgraduate School, 1997.

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Book chapters on the topic "Data requirements"

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Bingham, John. "Applications Requirements." In Data Processing, 225–33. London: Macmillan Education UK, 1989. http://dx.doi.org/10.1007/978-1-349-19938-9_16.

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Klein, Lawrence A. "Sensor data requirements." In ITS Sensors and Architectures for Traffic Management and Connected Vehicles, 73–92. Boca Raton : Taylor & Francis, CRC Press, 2017.: CRC Press, 2017. http://dx.doi.org/10.1201/9781315206905-4.

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Klijn, J. A., J. A. J. Vervloet, R. H. Kemmers, P. C. Jansen, P. Mekkink, M. Szabó, E. Molnár, K. Hellström, and P. M. A. Klinkers. "Requirements and data." In Environment & Policy, 455–509. Dordrecht: Springer Netherlands, 1995. http://dx.doi.org/10.1007/978-94-011-0441-8_16.

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Morbey, Guilherme. "Organisational Requirements." In Data Quality for Decision Makers, 15–46. Wiesbaden: Springer Fachmedien Wiesbaden, 2013. http://dx.doi.org/10.1007/978-3-658-01823-8_2.

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Morbey, Guilherme. "Technical Requirements." In Data Quality for Decision Makers, 47–54. Wiesbaden: Springer Fachmedien Wiesbaden, 2013. http://dx.doi.org/10.1007/978-3-658-01823-8_3.

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Uzun, Abdulbaki. "Requirements." In Semantic Modeling and Enrichment of Mobile and WiFi Network Data, 47–58. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-90769-7_3.

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Prakash, Naveen, and Deepika Prakash. "Requirements Engineering for Transactional Systems." In Data Warehouse Requirements Engineering, 1–17. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-7019-8_1.

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Prakash, Naveen, and Deepika Prakash. "Requirements Engineering for Data Warehousing." In Data Warehouse Requirements Engineering, 19–50. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-7019-8_2.

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Prakash, Naveen, and Deepika Prakash. "Issues in Data Warehouse Requirements Engineering." In Data Warehouse Requirements Engineering, 51–69. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-7019-8_3.

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Prakash, Naveen, and Deepika Prakash. "Discovering Decisions." In Data Warehouse Requirements Engineering, 71–99. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-7019-8_4.

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Conference papers on the topic "Data requirements"

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Garg, Umang, and Abhishek Singhal. "Software requirement prioritization based on non-functional requirements." In 2017 7th International Conference on Cloud Computing, Data Science & Engineering - Confluence (Confluence). IEEE, 2017. http://dx.doi.org/10.1109/confluence.2017.7943258.

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Alshareef, Sohil F., Abdelsalam M. Maatuk, and Tawfig M. Abdelaziz. "Aspect-oriented requirements engineering." In DATA '18: International Conference on Data Science, E-learning and Information Systems 2018. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3279996.3280009.

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Singh, Maninder, and Vaibhav Anu. "Graph Based CIA in Requirements Engineering." In 2020 IEEE International Conference on Big Data (Big Data). IEEE, 2020. http://dx.doi.org/10.1109/bigdata50022.2020.9377995.

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Tikito, I., and N. Souissi. "Data Collect Requirements Model." In BDCA'17: 2nd international Conference on Big Data, Cloud and Applications. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3090354.3090358.

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Soler, Emilio, Veronika Stefanov, Jose-Norberto Mazon, Juan Trujillo, Eduardo Fernandez-Medina, and Mario Piattini. "Towards Comprehensive Requirement Analysis for Data Warehouses: Considering Security Requirements." In 2008 3rd International Conference on Availability, Reliability and Security (ARES '08). IEEE, 2008. http://dx.doi.org/10.1109/ares.2008.86.

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Grubenmann, Tobias, Daniele Dell'Aglio, and Abraham Bernstein. "Collaborative Streaming: Trust Requirements for Price Sharing." In 2019 IEEE International Conference on Big Data (Big Data). IEEE, 2019. http://dx.doi.org/10.1109/bigdata47090.2019.9005470.

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Onyeka, Emebo, Vaibhav Anu, and Aparna S. Varde. "Identifying Implicit Requirements in SRS Big Data." In 2019 IEEE International Conference on Big Data (Big Data). IEEE, 2019. http://dx.doi.org/10.1109/bigdata47090.2019.9006086.

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"USING PRE-REQUIREMENTS TRACING TO INVESTIGATE REQUIREMENTS BASED ON TACIT KNOWLEDGE." In 1st International Conference on Software and Data Technologies. SciTePress - Science and and Technology Publications, 2006. http://dx.doi.org/10.5220/0001311701390144.

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Milster, Tomas D., Melvin K. Benedict, and Ronald P. Stahl. "Laser diode requirements for magneto-optical storage devices." In Optical Data Storage, edited by Donald B. Carlin and David B. Kay. SPIE, 1990. http://dx.doi.org/10.1117/12.22045.

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Foreman, Mark H., and Wade P. Moore. "Data Requirements for HWBEG Studies." In Waterpower Conference 1999. Reston, VA: American Society of Civil Engineers, 1999. http://dx.doi.org/10.1061/40440(1999)105.

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Reports on the topic "Data requirements"

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Kleese van Dam, Kerstin, Arie Shoshani, and Charity Plata. Data Crosscutting Requirements Review. Office of Scientific and Technical Information (OSTI), April 2013. http://dx.doi.org/10.2172/1226419.

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Simpson, B. C., and D. J. McCain. Historical model evaluation data requirements. Office of Scientific and Technical Information (OSTI), May 1995. http://dx.doi.org/10.2172/70804.

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Hiller, T., P. Walsh, X. Chen, M. Munson, G. Dommety, S. Sivalingham, B. Lim, et al. CDMA2000 Wireless Data Requirements for AAA. RFC Editor, June 2001. http://dx.doi.org/10.17487/rfc3141.

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Lambert, Robin B., Christian P. Moscoso, and James K. Barnette. Army Requirements for Digital Topographic Data. Fort Belvoir, VA: Defense Technical Information Center, March 1991. http://dx.doi.org/10.21236/ada254047.

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Hawkins, R. K., R. Touzi, P. W. Vachon, J. R. Gibson, and M. van der Kooij. Data Quality Requirements for Future SAR. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2000. http://dx.doi.org/10.4095/219696.

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Niblett, E. R., and R. L. Coles. Scientific requirements for geomagnetic observatory data. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1988. http://dx.doi.org/10.4095/226542.

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Leake, Charles R. Industrial Base Model Data Requirements (IBMDR). Fort Belvoir, VA: Defense Technical Information Center, April 2003. http://dx.doi.org/10.21236/ada468467.

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Jackson, S., Ming Ming Chang, and Min Tham. Data requirements and acquisition for reservoir characterization. Office of Scientific and Technical Information (OSTI), March 1993. http://dx.doi.org/10.2172/10136873.

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Frechette, Simon, Paul Huang, and Mark Carlisle. Model based enterprise technical data package requirements. Gaithersburg, MD: National Institute of Standards and Technology, 2011. http://dx.doi.org/10.6028/nist.ir.7749.

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Washington, William N. Outsourcing Automatic Data Processing Requirements and Support. Fort Belvoir, VA: Defense Technical Information Center, July 1997. http://dx.doi.org/10.21236/ada327808.

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