Bibliografie tematiche / Share data

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Letteratura scientifica selezionata sul tema "Share data"

Autore: Grafiati

Pubblicato: 4 giugno 2021

Ultima modifica: 10 febbraio 2022

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Articoli di riviste sul tema "Share data"

Duke, Clifford S. "Data: share and share alike". Frontiers in Ecology and the Environment 4, n. 8 (ottobre 2006): 395. http://dx.doi.org/10.1890/1540-9295(2006)4[395:dsasa]2.0.co;2.

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Evans-Pughe, C. "Share and share alike [data sharing]". Engineering & Technology 1, n. 8 (1 novembre 2006): 30–35. http://dx.doi.org/10.1049/et:20060801.

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JARVIS, LISA. "DRUGMAKERS SHARE DATA". Chemical & Engineering News 88, n. 25 (21 giugno 2010): 6. http://dx.doi.org/10.1021/cen-v088n025.p006.

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Mitka, Mike. "Clinical Trial Data: Share and Share Alike?" JAMA 313, n. 9 (3 marzo 2015): 881. http://dx.doi.org/10.1001/jama.2015.481.

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. "Optimal data use: share your data". TSG 88, n. 2 (febbraio 2010): 50. http://dx.doi.org/10.1007/bf03089540.

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Sieber, Joan E. "Learning to Share Data". Contemporary Psychology: A Journal of Reviews 40, n. 5 (maggio 1995): 476–77. http://dx.doi.org/10.1037/003670.

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Karhulahti, Veli-Matti. "Want the games industry to share data? Share yours". Nature 592, n. 7852 (30 marzo 2021): 26. http://dx.doi.org/10.1038/d41586-021-00860-z.

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Berman, Jules J. "Racing to Share Pathology Data". American Journal of Clinical Pathology 121, n. 2 (febbraio 2004): 169–71. http://dx.doi.org/10.1309/f7b40jmq4f8vpdg6.

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Baker, Monya. "Quantitative data: learning to share". Nature Methods 9, n. 1 (28 dicembre 2011): 39–41. http://dx.doi.org/10.1038/nmeth.1815.

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Li, Xiaogang, Dawei Zhang, Zhiyong Liu, Zhong Li, Cuiwei Du e Chaofang Dong. "Materials science: Share corrosion data". Nature 527, n. 7579 (novembre 2015): 441–42. http://dx.doi.org/10.1038/527441a.

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Tesi sul tema "Share data"

Amerian, Irsa. "Improving data-driven decision making through data democracy : Case study of a Swedish bank". Thesis, Linnéuniversitetet, Institutionen för informatik (IK), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-105868.

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Nowadays, becoming data-driven is the vision of almost all organizations. However, achieving this vision is not as easy as it may look like and there are many factors that affect, enable, support and sustain the data-driven ecosystem in an organization. Among these factors, this study focuses on data democracy which can be defined as the intra-organizational open data that aims to empower the employees getting faster and easier access to data in order to benefit from the business insight they need without the interfere of external help. In the existing literature, while the importance of becoming data-driven has been widely discussed, when it comes to data democracy within organizations, there is a noticeable gap. As a result, this master’s thesis aims to justify the importance and role of the data democracy in becoming a data-driven organization, focusing on the case of a Swedish bank. Additionally, it intends to provide extra investigation on the role of data analytics tools in achieving data democracy. The results of the study show that there is a strong connection between the benefits of the empowering different actors of the organization with the needed data knowledge, and the speeding up of the data-driven transformation journey. Based on the study, shared data and the availability of data to a larger number of stakeholders inside an organization result into a better understanding of different aspects of the problems, simplify the data-driven decision making and make the organization more data-driven. In the process of becoming data-driven, the organizations should provide the analytics tools not only to the data specialists but even to the non-data technical people. And by offering the needed support, training and collaboration possibilities between the two groups of employees (data specialists and non-data specialists), it should be attempted to enable the second group to extract the insight from the data, independently from the help of the data scientists. An organization can succeed in the path of becoming data-driven when they invest on the reusable capabilities of its employees, by discovering the data science skills across various departments and turning their domain experts into citizen data scientists of the organization.

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Wright, Michelle Christine. "Social Media Data Strategies Bankers Use to Increase Customer Market Share". ScholarWorks, 2019. https://scholarworks.waldenu.edu/dissertations/7356.

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Banking leaders who fail to implement social media data-driven marketing strategies lose opportunities to increase customer market share through customer acquisition and retention, improved customer service, heightened brand awareness, customer cocreation, and relationship management. The purpose of this multiple case study was to explore strategies banking leaders used to integrate social media analytics into marketing strategies to increase customer market share. The target population was 6 senior bankers from 2 banks in the mid-Atlantic region of the United States, with a significant social media presence, including 25,000 or more followers across 2 social media platforms. The disruptive innovation theory served as the conceptual framework for the study. Data were collected from semistructured interviews and a review of the organizations' public business documents, websites, and social media websites. Data were analyzed using coding to determine themes. By analyzing these sources and performing methodological triangulation, 8 key themes emerged that were categorized into 4 groupings: (a) social media knowledge management, (b) social media marketing strategy implementation, (c) social media data challenges and communication, and (d) social media competitive gain and future enhancements. The implications of this study for positive social change include social and environmental benefits such as creating jobs and economic growth through a corporate social responsibility initiative. Current and prospect customer bases, local communities, bankers, and stakeholders might benefit from the findings of this study.

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Weast, Jennifer Mintao. "IMPROVING BICYCLE INFRASTRUCTURE WITH THE USE OF BICYCLE SHARE TRAVEL DATA". UKnowledge, 2019. https://uknowledge.uky.edu/ce_etds/92.

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Bicycling as a mode of transportation has been increasing in recent years due to its environmental and health benefits. The availability of bicycles through bicycle share programs has made bicycling a more viable option. With this increase, there is a need for complementary improvements of bicycle infrastructure. Many local and regional transportation agencies are recognizing this need and developing a master plan or safety action plan to improve the city’s bicycle and walking facilities. This study examines bicycle travel demands and travel patterns in Lexington, Kentucky as generated by SPIN bicycle share users. It is hypothesized that the SPIN users emulate bicycle users on and around the University of Kentucky campus. Therefore, analyzing their travel patterns will provide a valuable understanding of bicycle demand and infrastructure needs. To identify such demand, travel patterns and routes were compared to the existing bicycle infrastructure in order to determine improvement needs with an ulterior goal to increase bicycling as a mode of transportation. The methods of study include five levels of analysis: length and duration, temporal, climatic, point density, and modeling. Recommendations for improving routes and parking facilities have been developed based on analytical methods and results obtained. The findings support the notion that bicycle infrastructure influences the travel paths cyclists take. The research supports the idea that commuters are using SPIN bicycles to chain their trips with transit and completing the last or first section of the trip with a bicycle. It was found that bicycle travel demand fluctuates with weather patterns. Furthermore, future work could use the existing data and conduct a detailed analysis on the individual trip level to determine what percentage of a completed trip was taken on an existing bicycle facility or on a non-facility. These findings should aid transportation planning and city officials to make decisions for expanding the existing bicycle network in efforts to minimize the percentage of cyclists who take a detour and the length of detours when necessary.

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Hunt, Amber Michelle. "Data Envelopment Analysis: An Alternative Approach to Ohio's State Share of Instruction Allocation". University of Akron / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=akron1403855659.

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Höler, Lisa Marie, e zu Hörste Christin Meyer. "Customer data in the European fashion industry : Investigation of students’ willingnessto share customer data in the fashion e-commerce". Thesis, Högskolan i Borås, Akademin för textil, teknik och ekonomi, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-10195.

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The present thesis aims to investigate students’ willingness to share customer data in the fashion e-commerce. Special attention is given to the way trust, benefits and law regulations are discussed in this context. An inductive approach was applied utilizing focus group discussions. The goal of the empirical study was to gain insights in the way students argue about customer data and which feelings are involved. The study highlights findings in the key areas trust, benefits and law regulations. A shift of customer trust from brands to recommendations could be observed. In terms of benefits, focus group participants tend to choose value exchange over traditional rewards. Findings regarding law regulations suggest that the General Data Protection Regulation of the European Union can provide control of customer data but no security. Furthermore, consumer behavior plays an important role when it comes to data sharing attitudes. The experiences and observations of the participants may not be applicable to other studies. Furthermore, the study findings are bounded to the European Union. The findings suggest that trust, benefits and law regulations can influence students’ willingness to share customer data in the fashion e-commerce. The study is unique of its kind as it investigates the willingness to share customer data with the focus on students and fashion e-commerce. Hence, this research paper fills a gap in scientific literature and is valuable for businesses operating in the fashion e-commerce.

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Mansour, Osama. "Share with Social Media : The Case of a Wiki". Licentiate thesis, Linnéuniversitetet, Institutionen för datavetenskap, fysik och matematik, DFM, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-11430.

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Traditional approaches to knowledge collaboration and sharing have proven to be limited in the sense of addressing organizational needs of dynamic and distributed knowledge. More recently, the emergence of social media and the second generation of web technologies have introduced new ways and possibilities for sharing knowledge in organizations. In particular, the wiki technology, as one type of social media, is argued to mark a shift in the way people collaborate and share knowledge with each other on the web. It represents a new, open style of knowledge collaboration and sharing which allows anyone to freely and openly create and shape knowledge. In this respect, organizations have been attracted by this new dynamic approach which is based on open collaboration and flexible participation. More organizations are using wikis in order to effectively leverage distributed knowledge and improve their competitive edge. Against this backdrop, this research is concerned with examining how such organizations use social media, the wiki technology in particular, for sharing knowledge among individuals and groups. The aim is twofold: to develop an understanding of the ways by which these individuals and groups exchange and share knowledge with each other and to identify different factors that influence knowledge collaboration and sharing using a wiki in an organizational setting. The research is based on three published research papers which provide both theoretical and empirical accounts of knowledge collaboration and sharing using wikis. To these ends of this research, an interpretive case study was used as an empirical research method with interviews as primary sources of data. Several other data sources have been triangulated during the empirical inquiry including field visits, observations, and documents. The case took place at a large multinational organization that used a wiki as a collaborative platform to support knowledge sharing among members of several professional communities of practice. Eventually, the outcome of the research is a thorough understanding that describes knowledge collaboration and sharing using a wiki as a dynamic social process involving recursive and dynamic social interactions among members of communities of practice through which knowledge is collaboratively constructed and reconstructed and thus shared. It also presents a dual impact of wiki openness on knowledge collaboration and sharing within organizations.

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Romolo, Alessandro. "Development and implementation of a S/W platform to automatically receive and share satellite data". Master's thesis, Alma Mater Studiorum - Università di Bologna, 2014. http://amslaurea.unibo.it/7642/.

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Relazione del lavoro di creazione e implementazione della piattaforma software che sviluppa l’archivio del progetto SATNET. I satelliti universitari hanno un tempo di vista della propria Stazione di Terra di pochi minuti al giorno: SATNET risponde all’esigenza di comunicare con un satellite universitario in orbita bassa per più dei pochi minuti al giorno che una singola Stazione di Terra permette. Questo avviene grazie a una rete di Stazioni di Terra Satellitari collegate da specifiche missioni comuni che mettono in condivisione dati ricevuti da uno o più satelliti, aumentando il rendimento dati/giorno di questi e permettendo una migliore fruizione delle Stazioni di Terra stesse. Il network sfrutta Internet come canale di connessione, e prevede la presenza di un archivio nel quale memorizzare i dati ricevuti, per poi renderne possibile la consultazione e il recupero. Oggetto di questo lavoro di tesi è stato lo sviluppo e l’implementazione di tale archivio: utilizzando un sito web dinamico, il software risponde a tutte le richieste evidenziate nel paragrafo precedente, permettendo a utenti autenticati di inserire dati e ad altri di poterne avere accesso. Il software è completo e funzionante ma non finito, in quanto manca la formulazione di alcune richieste; per esempio non è stato specificato il tipo di informazioni che è possibile caricare in upload, né il tipo di campi richiesti nel modulo di registrazione dei vari utenti. In questi casi sono stati inseriti campi generici, lasciando all’utente la possibilità di modificarli in seguito. Il software è stato dunque concepito come facilmente personalizzabile e modificabile anche da utenti inesperti grazie alla sola lettura della tesi, che rappresenta quindi una vera e propria guida per l’utilizzo, l’installazione, la personalizzazione e la manutenzione della piattaforma software. La tesi evidenzia gli obiettivi e le richieste, mostrando l’aspetto del sito web e le sue funzionalità, e spiega passo per passo il procedimento per la modifica dell’aspetto delle pagine e di alcuni parametri di configurazione. Inoltre, qualora siano necessarie modifiche sostanziali al progetto, introduce i vari linguaggi di programmazione necessari allo sviluppo e alla programmazione web e aiuta l’utente nella comprensione della struttura del software. Si conclude con alcuni suggerimenti su eventuali modifiche, attuabili solo a seguito di un lavoro di definizione degli obiettivi e delle specifiche richieste. In futuro ci si aspetta l’implementazione e la personalizzazione del software, nonché l’integrazione dell’archivio all’interno del progetto SATNET, con l’obiettivo di migliorare e favorire la diffusione e la condivisione di progetti comuni tra diverse Università Europee ed Extra-Europee.

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Kim, Hyoungtae. "Reliability modeling with load-shared data and product-ordering decisions considering uncertainty in logistics operations". Diss., Available online, Georgia Institute of Technology, 2004:, 2004. http://etd.gatech.edu/theses/available/etd-04072004-121539/unrestricted/kim%5Fhyoungtae%5F200405%5Fphd.pdf.

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Thesis (Ph. D.)--Industrial & Systems Engineering, Georgia Institute of Technology, 2004.
Erera, Alan, Committee Member ; Liang, Peng, Committee Member ; Hayter, Anthony, Committee Member ; Lu, Jye-Chyi, Committee Co-Chair ; Kvam, Paul, Committee Co-Chair. Vita. Includes bibliographical references (leaves 79-83).

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Doctrinal, Laure. "Employability and Employment of Senior Workers in France and in Sweden, an Analysis of SHARE data". Thesis, Stockholms universitet, Sociologiska institutionen, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-81770.

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In parallel with the ageing of the European population, the number of senior workers (that is to say, workers aged 50 and more) is expected to increase in the decades to come. The necessity to maintain senior workers into the labor force (specially to support the sustainability of pensions system) combined with a general trend to delay the retirement age and with the current economical climate, makes the employment of senior workers a burning issue. Significant differences indeed exist between European countries. While Sweden has the highest senior employment rate, France has one of the lowest. The purpose of this paper is to determine whether these differences can be explained through differences in terms of employability. This multidimensional concept is here explored through the analysis of quantitative data collected by the Survey of Health, Aging and Retirement in Europe (SHARE). These data provide an updated version of the situation of senior employees in France and in Sweden and more specifically of their employability. Some indicators of the latter can be thus defined and will be used to look at differences or similarities between French and Swedish senior workers generally speaking and from a gender perspective. The results have confirmed the role of initial education and long-life training which contribute respectively to the employability capital of workers and affect positively the employment rates. Such indicators are the first steps in the definition of the employability, which make way for further researches opening the definition to the other part of the active labor force (that is to say, the unemployed).

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Hřebabecký, Jan. "Projekty pro sdílení dat na internetu typu Rapidshare se zaměřením na konkrétní vybraný projekt a jeho rozbor". Master's thesis, Vysoká škola ekonomická v Praze, 2010. http://www.nusl.cz/ntk/nusl-72146.

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The goal of the thesis is to analyse and coherently describe a branch that haven't been sufficiently described in professional literature yet. To reach this goal thesis uses author's experience with specific share server development and operation and puts it as an example on which it explains all the important attributes and dependencies. Diploma thesis is aimed to an issue of internet file sharing. In it's first part it describes file sharing in general including history of internet file sharing. Two case studies of the most popular but different share servers follow. The thesis aims on business, technical, social and legal aspects of file sharing using share servers. In it's practical part the thesis aims on the specific share server project and especially cares of process, business, technical and user aspects. Within the process part running processes and their meaning for the whole share server project are analysed. The business part describes the dependencies of profit and costs components on individual variable attributes of share server system a it's environment. The technical part focuses on hardware, software and network devices from which share server is composed. In the part which focuses on the user interface and usability author critically evaluates the actual state of share server's website and describes possible improvements especially in the area of usability. In the last part of the thesis author evaluates the current state of share servers branch and estimates it's future development.

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Più fonti

Libri sul tema "Share data"

Bhattacharya, C. B. Towards a system for monitoring brand health from store scanner data. Cambridge, Mass: Marketing Science Institute, 2000.

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SHARE 69 (1987 Chicago, Ill.). Proceedings of SHARE 69: August 23-28, 1987, the Chicago Hilton & Towers, Chicago, Illinois. Chicago, Ill: SHARE, 1987.

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Namovicz-Peat, Susan. AIS's 2008-2012 health plan enrollment statistics: 5-year market share, trends and data. Washington, DC: AIS, Atlantic Information Services, Inc., 2013.

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SHARE 68 (1987 San Francisco, Calif.). Proceedings of SHARE 68, March 1-6, 1987, the San Francisco Hilton & Towers, San Francisco, California. Chicago, Ill: SHARE, 1987.

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Office, General Accounting. Defense ADP procurement: Contracting and market share information : fact sheet for congressional requesters. Washington, D.C: The Office, 1990.

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Office, General Accounting. Navy ADP procurement: Contracting and market share information : fact sheet for congressional requesters. Washington, D.C: The Office, 1989.

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Office, General Accounting. Navy ADP procurement: Contracting and market share information : fact sheet for congressional requesters. Washington, D.C: The Office, 1989.

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Office, General Accounting. Medicaid: The Texas disproportionate share program favors public hospitals. Washington, D.C: U.S. General Accounting Office, 1993.

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Concilio, Grazia, Paola Pucci, Lieven Raes e Geert Mareels, a cura di. The Data Shake. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-63693-7.

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Office, General Accounting. Highway user fees: Updated data needed to determine whether all users pay their fair share : report to the Chairman, Committee on Public Works and Transportation, House of Representatives. Washington, D.C: The Office, 1994.

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Capitoli di libri sul tema "Share data"

Cooper, Lee G., e Masao Nakanishi. "Data Collection". In Market-Share Analysis, 87–101. Dordrecht: Springer Netherlands, 1988. http://dx.doi.org/10.1007/978-94-009-2681-3_4.

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Collister, Simon. "The Public Relations Power of “big Data”". In Share This Too, 295–303. Hoboken, NJ, USA: John Wiley & Sons, Ltd, 2015. http://dx.doi.org/10.1002/9781119207993.ch33.

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Wang, X. Sean. "How to Share Data Securely". In Lecture Notes in Computer Science, 5. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-39200-9_2.

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Carter, Colin L., Howard J. Hamilton e Nick Cercone. "Share based measures for itemsets". In Principles of Data Mining and Knowledge Discovery, 14–24. Berlin, Heidelberg: Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/3-540-63223-9_102.

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Biczók, Gergely, e Pern Hui Chia. "Interdependent Privacy: Let Me Share Your Data". In Financial Cryptography and Data Security, 338–53. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-39884-1_29.

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Keshet, Renato, Alina Maor e George Kour. "Prediction-Based, Prioritized Market-Share Insight Extraction". In Advanced Data Mining and Applications, 81–94. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-49586-6_6.

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Shen, Guowei, Lu Liu, Qin Wei, Jicheng Lei e Chun Guo. "DataSESec: Security Monitoring for Data Share and Exchange Platform". In Web and Big Data, 422–27. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-26075-0_35.

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Ma, Pengyong, Xiao Hu, Shuming Chen e Yang Guo. "Pseudo Share Data Cache in Multiprocessor: PSDMP". In Frontiers of High Performance Computing and Networking – ISPA 2006 Workshops, 47–56. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11942634_6.

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Ruta, Dymitr. "Towards Automated Share Investment System". In Perception-based Data Mining and Decision Making in Economics and Finance, 135–53. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-36247-0_5.

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Cooper, L. G. "Market-Share Analysis: Communicating Results Through Spreadsheet-Based Simulators". In Data, Expert Knowledge and Decisions, 35–41. Berlin, Heidelberg: Springer Berlin Heidelberg, 1988. http://dx.doi.org/10.1007/978-3-642-73489-2_4.

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Atti di convegni sul tema "Share data"

Pietrzyk, Johannes, Dirk Habich e Wolfgang Lehner. "To share or not to share vector registers?" In SIGMOD/PODS '20: International Conference on Management of Data. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3399666.3399923.

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Chawathe, Sudarshan S. "Mining Bike-Share Data". In 2020 IEEE International Smart Cities Conference (ISC2). IEEE, 2020. http://dx.doi.org/10.1109/isc251055.2020.9239039.

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Jin, Yue, e Zhan Pang. "Smart data pricing: To share or not to share?" In IEEE INFOCOM 2014 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS). IEEE, 2014. http://dx.doi.org/10.1109/infcomw.2014.6849296.

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Ucci, Daniele, Leonardo Aniello e Roberto Baldoni. "Share a pie?" In CODASPY '17: Seventh ACM Conference on Data and Application Security and Privacy. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3029806.3029817.

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Giannandrea, AnneMarie, Nina Raqueno, David W. Messinger, Jason Faulring, John P. Kerekes, Jan van Aardt, Kelly Canham et al. "The SHARE 2012 data campaign". In SPIE Defense, Security, and Sensing, a cura di Sylvia S. Shen e Paul E. Lewis. SPIE, 2013. http://dx.doi.org/10.1117/12.2015935.

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Guy, Ido, Alexander Nus, Dan Pelleg e Idan Szpektor. "Care to Share?" In WSDM 2018: The Eleventh ACM International Conference on Web Search and Data Mining. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3159652.3159713.

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Banerjee, Agniva, e Karuna Pande Joshi. "Link before you share: Managing privacy policies through blockchain". In 2017 IEEE International Conference on Big Data (Big Data). IEEE, 2017. http://dx.doi.org/10.1109/bigdata.2017.8258482.

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Poppe, Olga, Chuan Lei, Lei Ma, Allison Rozet e Elke A. Rundensteiner. "To Share, or not to Share Online Event Trend Aggregation Over Bursty Event Streams". In SIGMOD/PODS '21: International Conference on Management of Data. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3448016.3452785.

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Fundulaki, Irini, e Arnaud Sahuguet. ""Share your data, keep your secrets."". In the 2004 ACM SIGMOD international conference. New York, New York, USA: ACM Press, 2004. http://dx.doi.org/10.1145/1007568.1007712.

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Wang, Zifeng, Tong Jian, Kaushik Chowdhury, Yanzhi Wang, Jennifer Dy e Stratis Ioannidis. "Learn-Prune-Share for Lifelong Learning". In 2020 IEEE International Conference on Data Mining (ICDM). IEEE, 2020. http://dx.doi.org/10.1109/icdm50108.2020.00073.

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Rapporti di organizzazioni sul tema "Share data"

Hook,, Les, Suresh Santhana Vannan,, Tammy Beaty,, Bruce Wilson, e Bob Cook,. Best Practices for Preparing Environmental Data Sets to Share and Archive. ORNL Environmental Sciences Division, ottobre 2010. http://dx.doi.org/10.3334/ornldaac/bestpractices-2010.

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McKittrick, Susan. Survey Shows Data-Driven Marketing Improves Sales Productivity and Market Share…Yes! Boston, MA: Patricia Seybold Group, maggio 2011. http://dx.doi.org/10.1571/sa05-26-11cc.

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Barradas, Ricardo. Financialisation and the fall in the labour share: a panel data econometric analysis for the european union countries. DINAMIA'CET-IUL, Instituto Universitário de Lisboa, 2017. http://dx.doi.org/10.15847/dinamiacet-iul.wp.2017.02.

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Brantley, Susan. Shale Network Data. Consortium of Universities for the Advancement of Hydrologic Science, Inc. (CUAHSI), luglio 2015. http://dx.doi.org/10.4211/his-data-shalenetwork.

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Duque, Earl, Steve Legensky, Brad Whitlock, David Rogers, Andrew Bauer, Scott Imlay, David Thompson e Seiji Tsutsumi. Summary of the SciTech 2020 Technical Panel on In Situ/In Transit Computational Environments for Visualization and Data Analysis. Engineer Research and Development Center (U.S.), giugno 2021. http://dx.doi.org/10.21079/11681/40887.

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Abstract (sommario):

At the AIAA SciTech 2020 conference, the Meshing, Visualization and Computational Environments Technical Committee hosted a special technical panel on In Situ/In Transit Computational Environments for Visualization and Data Analytics. The panel brought together leading experts from industry, software vendors, Department of Energy, Department of Defense and the Japan Aerospace Exploration Agency (JAXA). In situ and in transit methodologies enable Computational Fluid Dynamic (CFD) simulations to avoid the excessive overhead associated with data I/O at large scales especially as simulations scale to millions of processors. These methods either share the data analysis/visualization pipelines with the memory space of the solver or efficiently off load the workload to alternate processors. Using these methods, simulations can scale and have the promise of enabling the community to satisfy the Knowledge Extraction milestones as envisioned by the CFD Vision 2030 study for "on demand analysis/visualization of a 100 Billion point unsteady CFD simulation". This paper summarizes the presentations providing a discussion point of how the community can achieve the goals set forth in the CFD Vision 2030.

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Wright, D. F. Data integration, eastern shore, Nova Scotia. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1990. http://dx.doi.org/10.4095/128109.

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Hendricks, Kasey. Data for Alabama Taxation and Changing Discourse from Reconstruction to Redemption. University of Tennessee, Knoxville Libraries, 2021. http://dx.doi.org/10.7290/wdyvftwo4u.

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At their most basic level taxes carry, in the words of Schumpeter ([1918] 1991), “the thunder of history” (p. 101). They say something about the ever-changing structures of social, economic, and political life. Taxes offer a blueprint, in both symbolic and concrete terms, for uncovering the most fundamental arrangements in society – stratification included. The historical retellings captured within these data highlight the politics of taxation in Alabama from 1856 to 1901, including conflicts over whom money is expended upon as well as struggles over who carries their fair share of the tax burden. The selected timeline overlaps with the formation of five of six constitutions adopted in the State of Alabama, including 1861, 1865, 1868, 1875, and 1901. Having these years as the focal point makes for an especially meaningful case study, given how much these constitutional formations made the state a site for much political debate. These data contain 5,121 pages of periodicals from newspapers throughout the state, including: Alabama Sentinel, Alabama State Intelligencer, Alabama State Journal, Athens Herald, Daily Alabama Journal, Daily Confederation, Elyton Herald, Mobile Daily Tribune, Mobile Tribune, Mobile Weekly Tribune, Morning Herald, Nationalist, New Era, Observer, Tuscaloosa Observer, Tuskegee News, Universalist Herald, and Wilcox News and Pacificator. The contemporary relevance of these historical debates manifests in Alabama’s current constitution which was adopted in 1901. This constitution departs from well-established conventions of treating the document as a legal framework that specifies a general role of governance but is firm enough to protect the civil rights and liberties of the population. Instead, it stands more as a legislative document, or procedural straightjacket, that preempts through statutory material what regulatory action is possible by the state. These barriers included a refusal to establish a state board of education and enact a tax structure for local education in addition to debt and tax limitations that constrained government capacity more broadly. Prohibitive features like these are among the reasons that, by 2020, the 1901 Constitution has been amended nearly 1,000 times since its adoption. However, similar procedural barriers have been duplicated across the U.S. since (e.g., California’s Proposition 13 of 1978). Reference: Schumpeter, Joseph. [1918] 1991. “The Crisis of the Tax State.” Pp. 99-140 in The Economics and Sociology of Capitalism, edited by Richard Swedberg. Princeton University Press.

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Ruderman, R., J. Eto, K. Heinemeier, A. Golan e D. Wood. Residential end-use load shape data analysis. Office of Scientific and Technical Information (OSTI), aprile 1989. http://dx.doi.org/10.2172/7010097.

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Allen, Phillip L., David P. Gravseth, Michael B. Huffman, Richard W. Hughes, Bradley J. May, Son N. Nguyen, James W. Pinner, Edgar C. Pontejos, Debra R. Reinertson e Michael J. Roderick. Ship to Shore Data Communication and Prioritization. Fort Belvoir, VA: Defense Technical Information Center, dicembre 2011. http://dx.doi.org/10.21236/ada555274.

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Chauvin, Juan Pablo, Annabelle Fowler e Nicolás Herrera L. The Younger Age Profile of COVID-19 Deaths in Developing Countries. Inter-American Development Bank, novembre 2020. http://dx.doi.org/10.18235/0002879.

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This paper examines why a larger share of COVID-19 deaths occurs among young and middle-aged adults in developing countries than in high-income countries. Using novel data at the country, city, and patient levels, we investigate the drivers of this gap in terms of the key components of the standard Susceptible-Infected-Recovered framework. We obtain three main results. First, we show that the COVID-19 mortality age gap is not explained by younger susceptible populations in developing countries. Second, we provide indirect evidence that higher infection rates play a role, showing that variables linked to faster COVID-19 spread such as residential crowding and labor informality are correlated with younger mortality age profiles across cities. Third, we show that lower recovery rates in developing countries account for nearly all of the higher death shares among young adults, and for almost half of the higher death shares among middle-aged adults. Our evidence suggests that lower recovery rates in developing countries are driven by a higher prevalence of preexisting conditions that have been linked to more severe COVID-19 complications, and by more limited access to hospitals and intensive care units in some countries.

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