Literatura científica selecionada sobre o tema "Data work"
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Artigos de revistas sobre o assunto "Data work"
Birnholtz, Jeremy P., e Matthew J. Bietz. "Data at work". ACM SIGGROUP Bulletin 24, n.º 1 (abril de 2003): 20. http://dx.doi.org/10.1145/1027232.1027288.
Texto completo da fonteMenke, William, e Roger Creel. "Why Differential Data Work". Bulletin of the Seismological Society of America 112, n.º 2 (14 de dezembro de 2021): 597–607. http://dx.doi.org/10.1785/0120210014.
Texto completo da fonteM, Brauer. "Putting data to work". Environmental Epidemiology 3 (outubro de 2019): 41. http://dx.doi.org/10.1097/01.ee9.0000606076.59456.22.
Texto completo da fonteWilliams, Diane B. "Putting Data to Work". Lippincott's Case Management 7, n.º 5 (setembro de 2002): 169. http://dx.doi.org/10.1097/00129234-200209000-00001.
Texto completo da fonteBossen, Claus. "Data work and digitization". XRDS: Crossroads, The ACM Magazine for Students 26, n.º 3 (2 de abril de 2020): 22–25. http://dx.doi.org/10.1145/3383370.
Texto completo da fonteRichardson, W. Scott, Lawrence G. Smith, Carol M. Ashton e Nelda P. Wray. "Work rounds data collection". Journal of General Internal Medicine 10, n.º 2 (fevereiro de 1995): 115–16. http://dx.doi.org/10.1007/bf02600242.
Texto completo da fonteChandhiramowuli, Srravya, Alex S. Taylor, Sara Heitlinger e Ding Wang. "Making Data Work Count". Proceedings of the ACM on Human-Computer Interaction 8, CSCW1 (17 de abril de 2024): 1–26. http://dx.doi.org/10.1145/3637367.
Texto completo da fonteBoston, Carol. "Data Systems, Data Sets, and Work Transformation". JONA: The Journal of Nursing Administration 24, n.º 6 (junho de 1994): 11–12. http://dx.doi.org/10.1097/00005110-199406000-00005.
Texto completo da fonteDarian, Shiva, Aarjav Chauhan, Ricky Marton, Janet Ruppert, Kathleen Anderson, Ryan Clune, Madeline Cupchak et al. "Enacting Data Feminism in Advocacy Data Work". Proceedings of the ACM on Human-Computer Interaction 7, CSCW1 (14 de abril de 2023): 1–28. http://dx.doi.org/10.1145/3579480.
Texto completo da fonteMartin, Elaine, e Judith Healy. "Social work as women's work: Census data 1976–1986". Australian Social Work 46, n.º 4 (dezembro de 1993): 13–18. http://dx.doi.org/10.1080/03124079308411100.
Texto completo da fonteTeses / dissertações sobre o assunto "Data work"
Carrick, Grady Thomas. "Data collection needs for work zone incidents". [Gainesville, Fla.] : University of Florida, 2006. http://purl.fcla.edu/fcla/etd/UFE0015618.
Texto completo da fonteYarbrough, Walthea V. "Postural data incorporated into traditional work measurement". Diss., This resource online, 1994. http://scholar.lib.vt.edu/theses/available/etd-06062008-164306/.
Texto completo da fonteEmenike, Stanley Ugochukwu. "Data loss prevention in a remote work environment". Thesis, Högskolan i Skövde, Institutionen för informationsteknologi, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-20203.
Texto completo da fonteAmado, Vanessa. "Knowledge discovery and data mining from freeway section traffic data". Diss., Columbia, Mo. : University of Missouri-Columbia, 2008. http://hdl.handle.net/10355/5591.
Texto completo da fonteThe entire dissertation/thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file (which also appears in the research.pdf); a non-technical general description, or public abstract, appears in the public.pdf file. Title from title screen of research.pdf file (viewed on June 8, 2009) Vita. Includes bibliographical references.
Hakky, Rafee. "A computer program for calculating and teaching earth work". Virtual Press, 1985. http://liblink.bsu.edu/uhtbin/catkey/508052.
Texto completo da fonteDepartment of Landscape Architecture
Wong, C. W., e 王振威. "An adaptive information retrieval environment for collaborative architectural design work". Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2004. http://hub.hku.hk/bib/B45015089.
Texto completo da fonteFrear, Susan W. "A Construct Validity Analysis of the Work Perceptions Profile Data". Thesis, University of North Texas, 2015. https://digital.library.unt.edu/ark:/67531/metadc799499/.
Texto completo da fonteOrtiz, Logan A. "Highway work zone capacity estimation using field data from Kansas". Thesis, Kansas State University, 2014. http://hdl.handle.net/2097/18224.
Texto completo da fonteDepartment of Civil Engineering
Sunanda Dissanayake
Although extensive research has been conducted on urban freeway capacity estimation methods, minimal research has been carried out for rural highway sections, especially sections within work zones. This study filled that void for rural highways in Kansas. This study estimated capacity of rural highway work zones in Kansas. Six work zone locations were selected. An average of six days’ worth of field data was collected, from mid-October 2013 to late November 2013, at each of these work zone sites. Two capacity estimation methods were utilized, including the Maximum Observed 15-minute Flow Rate Method and the Platooning Method divided into 15-minute intervals. The Maximum Observed 15-minute Flow Rate Method provided an average capacity of 1469 passenger cars per hour per lane (pcphpl) with a standard deviation of 141 pcphpl, while the Platooning Method provided a maximum average capacity of 1195 pcphpl and a standard deviation of 28 pcphpl. Based on observed data and analysis carried out in this study, the recommended capacity to be used is 1500 pcphpl when designing work zones for rural highways in Kansas. This research provides the proposed standard value of rural highway work zone capacities so engineers and city planners can effectively mitigate congestion that would have otherwise occurred due to impeding construction/maintenance.
Snowdon, Jane Louise. "Workflow control for surges from a batch work station". Diss., Georgia Institute of Technology, 1994. http://hdl.handle.net/1853/25100.
Texto completo da fonteAman, Carolyn J. "The devaluation of women's work: Analysis of national and experimental data". Diss., The University of Arizona, 1999. http://hdl.handle.net/10150/289050.
Texto completo da fonteLivros sobre o assunto "Data work"
Anita, Young, e American School Counselor Association, eds. Making data work. 3a ed. Alexandria, VA: American School Counselor Association, 2013.
Encontre o texto completo da fonteYoung, Anita. Making DATA work. 2a ed. [Alexandria, Va.]: American School Counselor Association, 2009.
Encontre o texto completo da fonteMahadevan, Malathi. Data Professionals at Work. Berkeley, CA: Apress, 2018. http://dx.doi.org/10.1007/978-1-4842-3967-4.
Texto completo da fonteGutierrez, Sebastian. Data Scientists at Work. Berkeley, CA: Apress, 2014. http://dx.doi.org/10.1007/978-1-4302-6599-3.
Texto completo da fonteRankin, Jenny Grant. Designing Data Reports that Work. New York, NY: Routledge, 2016.: Routledge, 2016. http://dx.doi.org/10.4324/9781315665849.
Texto completo da fonteTaylor, Graham. Work out computer studies. 3a ed. Basingstoke: Macmillan Education, 1991.
Encontre o texto completo da fonteDavies, Dick. Information technology at work. London: Heinemann Educational Books, 1986.
Encontre o texto completo da fonteZimmerman, Kathryn A. Pavement Management Systems: Putting Data to Work. Washington, D.C.: Transportation Research Board, 2017. http://dx.doi.org/10.17226/24681.
Texto completo da fonteZimmerman, Kathryn A. Pavement Management Systems: Putting Data to Work. Washington, D.C.: Transportation Research Board, 2017. http://dx.doi.org/10.17226/24682.
Texto completo da fonteCentral Council for Education and Training in Social Work., ed. Forensic social work: Competence and workforce data. London: Central Council for Education and Training in Social Work, 1995.
Encontre o texto completo da fonteCapítulos de livros sobre o assunto "Data work"
Rose, Doug. "Starting the Work". In Data Science, 67–75. Berkeley, CA: Apress, 2016. http://dx.doi.org/10.1007/978-1-4842-2253-9_8.
Texto completo da fonteWeik, Martin H. "work data set". In Computer Science and Communications Dictionary, 1930. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_21195.
Texto completo da fonteLivraga, Giovanni. "Related Work". In Protecting Privacy in Data Release, 11–33. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-16109-9_2.
Texto completo da fonteHua, Ming, e Jian Pei. "Related Work". In Ranking Queries on Uncertain Data, 33–50. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-9380-9_3.
Texto completo da fonteDeRose, Steven J., e David G. Durand. "Locating Data Objects". In Making Hypermedia Work, 121–58. Boston, MA: Springer US, 1994. http://dx.doi.org/10.1007/978-1-4615-2754-1_8.
Texto completo da fonteOdaro, Edosa. "The Wars of the Roses". In Making Data Work, 83–94. Boca Raton: Auerbach Publications, 2022. http://dx.doi.org/10.1201/9781003278276-10.
Texto completo da fonteOdaro, Edosa. "Too Small to Save?" In Making Data Work, 17–29. Boca Raton: Auerbach Publications, 2022. http://dx.doi.org/10.1201/9781003278276-3.
Texto completo da fonteOdaro, Edosa. "The Awakening". In Making Data Work, 65–79. Boca Raton: Auerbach Publications, 2022. http://dx.doi.org/10.1201/9781003278276-8.
Texto completo da fonteOdaro, Edosa. "Harnessing the Power of Frustration". In Making Data Work, 47–54. Boca Raton: Auerbach Publications, 2022. http://dx.doi.org/10.1201/9781003278276-6.
Texto completo da fonteOdaro, Edosa. "Reward – Empowering Flow". In Making Data Work, 117–28. Boca Raton: Auerbach Publications, 2022. http://dx.doi.org/10.1201/9781003278276-13.
Texto completo da fonteTrabalhos de conferências sobre o assunto "Data work"
Birnholtz, Jeremy P., e Matthew J. Bietz. "Data at work". In the 2003 international ACM SIGGROUP conference. New York, New York, USA: ACM Press, 2003. http://dx.doi.org/10.1145/958160.958215.
Texto completo da fonteZhang, Yunming, Vladimir Kiriansky, Charith Mendis, Saman Amarasinghe e Matei Zaharia. "Making caches work for graph analytics". In 2017 IEEE International Conference on Big Data (Big Data). IEEE, 2017. http://dx.doi.org/10.1109/bigdata.2017.8257937.
Texto completo da fontePine, Kathleen H., Claus Bossen, Yunan Chen, Gunnar Ellingsen, Miria Grisot, Melissa Mazmanian e Naja Holten Møller. "Data Work in Healthcare". In CSCW '18: Computer Supported Cooperative Work and Social Computing. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3272973.3273017.
Texto completo da fonteJeon, Kyungho, Sharath Chandrashekhara, Feng Shen, Shikhar Mehra, Oliver Kennedy e Steven Y. Ko. "PigOut: Making multiple Hadoop clusters work together". In 2014 IEEE International Conference on Big Data (Big Data). IEEE, 2014. http://dx.doi.org/10.1109/bigdata.2014.7004218.
Texto completo da fonteHo, Kin-Hon, Tse-Tin Chan, Haoyuan Pan e Chin Li. "Do Candlestick Patterns Work in Cryptocurrency Trading?" In 2021 IEEE International Conference on Big Data (Big Data). IEEE, 2021. http://dx.doi.org/10.1109/bigdata52589.2021.9671826.
Texto completo da fonteMuller, Michael, Ingrid Lange, Dakuo Wang, David Piorkowski, Jason Tsay, Q. Vera Liao, Casey Dugan e Thomas Erickson. "How Data Science Workers Work with Data". In CHI '19: CHI Conference on Human Factors in Computing Systems. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3290605.3300356.
Texto completo da fonteGreif, Irene, e Sunil Sarin. "Data sharing in group work". In the 1986 ACM conference. New York, New York, USA: ACM Press, 1986. http://dx.doi.org/10.1145/637069.637092.
Texto completo da fonte"Data Ownership Does Not Work?" In Summer 2023 Int’l Conference Proceedings. Higher Education and Innovation Group, 2023. http://dx.doi.org/10.17758/heaig14.h0923504.
Texto completo da fontePine, Kathleen, Claus Bossen, Naja Holten Møller, Milagros Miceli, Alex Jiahong Lu, Yunan Chen, Leah Horgan, Zhaoyuan Su, Gina Neff e Melissa Mazmanian. "Investigating Data Work Across Domains". In CHI '22: CHI Conference on Human Factors in Computing Systems. New York, NY, USA: ACM, 2022. http://dx.doi.org/10.1145/3491101.3503724.
Texto completo da fonteSurkov, Maxim, Vladislav Mosin e Ivan Yamshchikov. "Do Data-based Curricula Work?" In Proceedings of the Third Workshop on Insights from Negative Results in NLP. Stroudsburg, PA, USA: Association for Computational Linguistics, 2022. http://dx.doi.org/10.18653/v1/2022.insights-1.16.
Texto completo da fonteRelatórios de organizações sobre o assunto "Data work"
Kramer, Mitchell. Data Mining at Work. Boston, MA: Patricia Seybold Group, junho de 2004. http://dx.doi.org/10.1571/psgp6-10-04cc.
Texto completo da fonteBeddingfield, Erin. Putting Data to Work Final Technical Report. Office of Scientific and Technical Information (OSTI), abril de 2020. http://dx.doi.org/10.2172/1617191.
Texto completo da fonteR. Green. Technical Work Plan For: Meteorological Monitoring Data Analysis. Office of Scientific and Technical Information (OSTI), fevereiro de 2006. http://dx.doi.org/10.2172/899930.
Texto completo da fonteAl Rashdan, Ahmad, Johanna Oxstrand e Vivek Agarwal. Automated Work Package: Conceptual Design and Data Architecture. Office of Scientific and Technical Information (OSTI), maio de 2016. http://dx.doi.org/10.2172/1364774.
Texto completo da fonteWitte, Ann Dryden, e Helen Tauchen. Work and Crime: An Exploration Using Panel Data. Cambridge, MA: National Bureau of Economic Research, julho de 1994. http://dx.doi.org/10.3386/w4794.
Texto completo da fonteDillon, Amanda Dillon, Jen Bokoff Bokoff e Erin Nylen-Wysocki Nylen-Wysocki. Using a Data Lens to Strengthen Your Work. New York, NY United States: Foundation Center, novembro de 2017. http://dx.doi.org/10.15868/socialsector.29181.
Texto completo da fonteZinn, Zach. Data Work and its Layers of (In)visibility. Just Tech, Social Science Research Council, setembro de 2023. http://dx.doi.org/10.35650/jt.3060.d.2023.
Texto completo da fonteC.T. Bastian. Technical Work Plan For: Meteorological Monitoring and Data Analysis. Office of Scientific and Technical Information (OSTI), março de 2003. http://dx.doi.org/10.2172/899646.
Texto completo da fonteHarville, Donald L. Analyzing Work Sample Task Performance Using Three Data Sets. Fort Belvoir, VA: Defense Technical Information Center, janeiro de 1999. http://dx.doi.org/10.21236/ada363981.
Texto completo da fonteSwauger, Shea. Never Neutral: Data, Equity, and How They Can Work Together. University of Colorado Denver, 2019. http://dx.doi.org/10.25261/ir00000103.
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