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Статті в журналах з теми "Web data sets"
Alder, J. R., and S. W. Hostetler. "Web based visualization of large climate data sets." Environmental Modelling & Software 68 (June 2015): 175–80. http://dx.doi.org/10.1016/j.envsoft.2015.02.016.
Повний текст джерелаG.V., Suresh, and Srinivasa Reddy E.V. "Uncertain Data Analysis with Regularized XGBoost." Webology 19, no. 1 (January 20, 2022): 3722–40. http://dx.doi.org/10.14704/web/v19i1/web19245.
Повний текст джерелаFernández, Javier D., Miguel A. Martínez-Prieto, Pablo de la Fuente Redondo, and Claudio Gutiérrez. "Characterising RDF data sets." Journal of Information Science 44, no. 2 (January 9, 2017): 203–29. http://dx.doi.org/10.1177/0165551516677945.
Повний текст джерелаEndsley, K. A., and M. G. Billmire. "Distributed visualization of gridded geophysical data: the Carbon Data Explorer, version 0.2.3." Geoscientific Model Development 9, no. 1 (January 29, 2016): 383–92. http://dx.doi.org/10.5194/gmd-9-383-2016.
Повний текст джерелаEvans, William N., Helen Levy, and Kosali I. Simon. "Data Watch: Research Data in Health Economics." Journal of Economic Perspectives 14, no. 4 (November 1, 2000): 203–16. http://dx.doi.org/10.1257/jep.14.4.203.
Повний текст джерелаIbrahim, Nadia, Alaa Hassan, and Marwah Nihad. "Big Data Analysis of Web Data Extraction." International Journal of Engineering & Technology 7, no. 4.37 (December 13, 2018): 168. http://dx.doi.org/10.14419/ijet.v7i4.37.24095.
Повний текст джерелаDe Souza, Jessica Oliveira, and Jose Eduardo Santarem Segundo. "Mapeamento de Problemas de Qualidade no Linked Data." Journal on Advances in Theoretical and Applied Informatics 1, no. 1 (October 6, 2015): 38. http://dx.doi.org/10.26729/jadi.v1i1.1043.
Повний текст джерелаRodriguez-Garcia, Mercedes, Antonio Balderas, and Juan Manuel Dodero. "Privacy Preservation and Analytical Utility of E-Learning Data Mashups in the Web of Data." Applied Sciences 11, no. 18 (September 13, 2021): 8506. http://dx.doi.org/10.3390/app11188506.
Повний текст джерелаXiang-Wei, Li, Zheng Gang, and Kang Yu-Xue. "A Rough Sets Based Data Preprocessing Algorithm for Web Structure Mining." Information Technology Journal 11, no. 8 (July 15, 2012): 1127–30. http://dx.doi.org/10.3923/itj.2012.1127.1130.
Повний текст джерелаMa, Dong Lin, and Wei Jun Gao. "An Association-Analysis Based Web Mining Preprocessing Algorithm." Applied Mechanics and Materials 121-126 (October 2011): 3642–46. http://dx.doi.org/10.4028/www.scientific.net/amm.121-126.3642.
Повний текст джерелаДисертації з теми "Web data sets"
Baker, Malchus B. Jr, Daniel P. Huebner, and Peter F. Ffolliott. "Accessing Watershed-Related Data Sets Through the World Wide Web." Arizona-Nevada Academy of Science, 2000. http://hdl.handle.net/10150/296555.
Повний текст джерелаLuczak-Rösch, Markus [Verfasser]. "Usage-dependent maintenance of structured Web data sets / Markus Luczak-Rösch." Berlin : Freie Universität Berlin, 2014. http://d-nb.info/1068253827/34.
Повний текст джерелаMånsson, Per. "Database analysis and managing large data sets in a trading environment." Thesis, Linköpings universitet, Databas och informationsteknik, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-104193.
Повний текст джерелаO'Dowd, Robert J. "An assessment of ordinary and indicator krigings using simulated data sets /." Title page, contents and abstract only, 1986. http://web4.library.adelaide.edu.au/theses/09SB/09sbo26.pdf.
Повний текст джерелаLefrançois, Maxime. "Représentation des connaissances sémantiques lexicales de la Théorie Sens-Texte : conceptualisation, représentation, et opérationnalisation des définitions lexicographiques." Phd thesis, Université Nice Sophia Antipolis, 2014. http://tel.archives-ouvertes.fr/tel-01071945.
Повний текст джерелаLerique, Sébastien. "Epidemiology of representations : an empirical approach." Thesis, Paris, EHESS, 2017. http://www.theses.fr/2017EHES0114/document.
Повний текст джерелаWe propose an empirical contribution to recent attempts to unify cognitive science and social science.We focus on Cultural Attraction Theory (CAT), a framework that proposes a common ontology made of representations for cognitive and social science to address interdisciplinary questions.CAT hypothesizes that in spite of important transformations at the micro-level, the overall distribution of representations remains stable due to dynamical attractors.Testing this hypothesis is challenging and existing approaches have several shortcomings.Yet, by taking advantage of web technologies one can combine the advantages of existing techniques to expand the range of possible empirical studies.We develop two case studies to show this with short written utterances.The first examines transformations that quotations undergo as they are propagated online.By connecting data mining tools with psycholinguistics, we show that word substitutions in quotations are consistent with the hypothesis of cultural attractors and with known effects of lexical features.The second case study expands these results, and makes use of a purposefully developed web experiment to gather quality transmission chain data sets.By extending a bioinformatics alignment algorithm, we decompose transformations into simpler operations, and propose a first descriptive model which relates psycholinguistic knowledge of sentence transformation to evolutionary trends elicited in the cultural evolution literature.Finally, we show that further understanding the evolution of such representations requires an account of meaning in context, a task for which we flesh out possible empirical approaches
Книги з теми "Web data sets"
M, Abello James, Pardalos P. M. 1954-, and Resende, Mauricio G. C., 1955-, eds. Handbook of massive data sets. Dordrecht: Kluwer Academic, 2002.
Знайти повний текст джерелаHumberto, Bustince, Herrera Francisco Dr, and Montero Javier, eds. Fuzzy sets and their extensions: Representation, aggregation, and models : intelligent systems from decision making to data mining, web intelligence, and computer vision. Berlin: Springer, 2008.
Знайти повний текст джерелаWen zi lu ru. Dalian: Dongbei cai jing da xue chu ban she, 2000.
Знайти повний текст джерелаHuijin, Chen, ed. Zhong wen zhi mei: Cang Jie Zhong wen shu ru fa. Taibei Shi: Di san bo wen hua shi yeh gu fen you xian gong si, 1994.
Знайти повний текст джерелаDa yi Zhong wen shu ru fa. 7th ed. Taibei Shi: Di san bo wen hua shi yeh gu fen yu xian gong si, 1994.
Знайти повний текст джерелаJianyun, Dai, ed. Zhong wen shu ru ji neng jing sai yu jian ding. Taibei Shi: Song gang dian nao tu shu zi liao gu fen you xian gong si, 1991.
Знайти повний текст джерелаZhong wen jie zi yuan li Cang Jie shu ru fa Word to Word. Taibei Shi: Mai tian chu ban she you xian gong si, 1998.
Знайти повний текст джерелаQuan zi ku Zhong wen cang jie shu ru fa: Dian nao, shou ji, ping ban jun shi yong. Taibei Shi: Shang qi zi xun gu fen you xian gong si, 2016.
Знайти повний текст джерелаLiang an tong fan jian ti Zhong wen Cang Jie shu ru fa. Taibei Shi: Qi feng zi xun gu fen you xian gong si, 2006.
Знайти повний текст джерелаWeiruan xin zhu yin shu ru fa: Zhong wen da zi gao shou su cheng shou ce. Taibei Shi: Shi shu tang wen hua shi ye gu fen you xian gong si, 1998.
Знайти повний текст джерелаЧастини книг з теми "Web data sets"
Liu, Yongnan, and Jianzhong Li. "Drawing CoCo Core-Sets from Incomplete Relational Data." In Web and Big Data, 61–76. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-26072-9_5.
Повний текст джерелаThelwall, Michael. "Collecting Data for Sets of Documents." In Web Indicators for Research Evaluation, 77–101. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-031-02304-0_8.
Повний текст джерелаLesnikova, Tatiana. "Interlinking Cross-Lingual RDF Data Sets." In The Semantic Web: Semantics and Big Data, 671–75. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-38288-8_49.
Повний текст джерелаGu, Baohua, Feifang Hu, and Huan Liu. "Modelling Classification Performance for Large Data Sets." In Advances in Web-Age Information Management, 317–28. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-47714-4_29.
Повний текст джерелаSarmento, Luís, Alexander Kehlenbeck, Eugénio Oliveira, and Lyle Ungar. "Efficient Clustering of Web-Derived Data Sets." In Machine Learning and Data Mining in Pattern Recognition, 398–412. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-03070-3_30.
Повний текст джерелаHájek, Petr. "On generalized quantifiers, finite sets and data mining." In Intelligent Information Processing and Web Mining, 489–96. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-36562-4_52.
Повний текст джерелаSzeto, Chi-Cheong, Edward Hung, and Yu Deng. "Modeling and Querying Probabilistic RDFS Data Sets with Correlated Triples." In Web Technologies and Applications, 333–44. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-20291-9_35.
Повний текст джерелаNiewiadomski, Adam, and Bartosz Rybusiński. "Fuzzy Sets-Based Retranslation of Numerical Data in E-Learning." In Advances in Web Intelligence, 348–54. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11495772_54.
Повний текст джерелаLv, Liqun, and Xiaoyuan Yang. "A New Broadcast Encryption Scheme for Multi Sets." In Advances in Internetworking, Data & Web Technologies, 340–48. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-59463-7_34.
Повний текст джерелаKaravirta, Ville, and Ari Korhonen. "Visual Algorithm Simulation Exercises with Authentic Data Sets." In Towards Learning and Instruction in Web 3.0, 123–37. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4614-1539-8_8.
Повний текст джерелаТези доповідей конференцій з теми "Web data sets"
Abdullin, Artur, and Olfa Nasraoui. "Clustering Heterogeneous Data Sets." In 2012 Latin American Web Congress (LA-WEB). IEEE, 2012. http://dx.doi.org/10.1109/la-web.2012.27.
Повний текст джерелаErhan, Sercan. "SHARING TRANSPORTATION DATA SETS WITH OPEN WEB SERVICES." In 13th SGEM GeoConference on INFORMATICS, GEOINFORMATICS AND REMOTE SENSING. Stef92 Technology, 2013. http://dx.doi.org/10.5593/sgem2013/bb2.v1/s11.036.
Повний текст джерелаFerres, Universidad del Desarrollo,, Leo. "Problems and Opportunities of Working with a Telco's Large Data Sets of Mobile Data*." In WWW '19: The Web Conference. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3308560.3316490.
Повний текст джерелаSastry, Prof P. N. V. M., Prof Dr D. N. Rao, and Dr S. Vathsal. "Elevating Data Integrity Techniques in Matching Data Sets for Web Databases." In National Conference on Computer Security, Image Processing, Graphics, Mobility and Analytics. AI Publications, 2016. http://dx.doi.org/10.22161/ijaers/si.20.
Повний текст джерелаAllsman, Roberta. "Simplifying the Web User's Interface to Massive Data Sets." In 2001 Eighteenth IEEE Symposium on Mass Storage Systems and Technologies (MSS). IEEE, 2001. http://dx.doi.org/10.1109/mss.2001.10008.
Повний текст джерелаZavoral, Filip, and Jana Dvorakova. "Perfomance of XSLT processors on large data sets." In 2009 Second International Conference on the Applications of Digital Information and Web Technologies (ICADIWT). IEEE, 2009. http://dx.doi.org/10.1109/icadiwt.2009.5273945.
Повний текст джерелаFosci, Paolo, and Giuseppe Psaila. "Towards Soft Web Intelligence by Collecting and Processing JSON Data Sets from Web Sources." In 18th International Conference on Web Information Systems and Technologies. SCITEPRESS - Science and Technology Publications, 2022. http://dx.doi.org/10.5220/0011547400003318.
Повний текст джерелаBrown, Iain M. "A 3D user interface for visualisation of Web-based data-sets." In the sixth ACM international symposium. New York, New York, USA: ACM Press, 1998. http://dx.doi.org/10.1145/288692.288711.
Повний текст джерелаDi Lucca, G. A., A. R. Fasolino, and P. Tramontana. "A Technique for Reducing User Session Data Sets in Web Application Testing." In 2006 8th IEEE International Workshop on Web Site Evolution. IEEE, 2006. http://dx.doi.org/10.1109/wse.2006.1.
Повний текст джерелаBellekens, Pieter, Kees van der Sluijs, William van Woensel, Sven Casteleyn, and Geert-Jan Houben. "Achieving Efficient Access to Large Integrated Sets of Semantic Data in Web Applications." In 2008 8th International Conference on Web Engineering (ICWE). IEEE, 2008. http://dx.doi.org/10.1109/icwe.2008.18.
Повний текст джерелаЗвіти організацій з теми "Web data sets"
Cruz Pantoja, Omar. Development of a Web Interface for Search and Visualization of Self-describing Data sets. Office of Scientific and Technical Information (OSTI), August 2016. http://dx.doi.org/10.2172/1296693.
Повний текст джерелаMorris, Julia, Julia Bobiak, Fatima Asad, and Fozia Nur. Report: Accessibility of Health Data in Rural Canada. Spatial Determinants Lab at Carleton University, Department of Health Sciences, February 2021. http://dx.doi.org/10.22215/sdhlab/2020.4.
Повний текст джерелаTidd, Alexander N., Richard A. Ayers, Grant P. Course, and Guy R. Pasco. Scottish Inshore Fisheries Integrated Data System (SIFIDS): work package 6 final report development of a pilot relational data resource for the collation and interpretation of inshore fisheries data. Edited by Mark James and Hannah Ladd-Jones. Marine Alliance for Science and Technology for Scotland (MASTS), 2019. http://dx.doi.org/10.15664/10023.23452.
Повний текст джерелаBorchmann, Daniel, Felix Distel, and Francesco Kriegel. Axiomatization of General Concept Inclusions from Finite Interpretations. Technische Universität Dresden, 2015. http://dx.doi.org/10.25368/2022.219.
Повний текст джерелаArlitsch, Kenning. Data set supporting the dissertation Semantic Web Identity in Academic Organizations: Search engine entity recognition and the sources that influence Knowledge Graph Cards in search results. Montana State University ScholarWorks, 2016. http://dx.doi.org/10.15788/m2f590.
Повний текст джерелаOver, Thomas, Riki Saito, Andrea Veilleux, Padraic O’Shea, Jennifer Sharpe, David Soong, and Audrey Ishii. Estimation of Peak Discharge Quantiles for Selected Annual Exceedance Probabilities in Northeastern Illinois. Illinois Center for Transportation, June 2016. http://dx.doi.org/10.36501/0197-9191/16-014.
Повний текст джерелаAbeln, Barend, Jan P.A.M. Jacobs, and Machiel Mulder. Seasonal adjustment of daily data with CAMPLET. CIRANO, 2022. http://dx.doi.org/10.54932/hkse4022.
Повний текст джерелаBaader, Franz, and Felix Distel. A finite basis for the set of EL-implications holding in a finite model. Technische Universität Dresden, 2007. http://dx.doi.org/10.25368/2022.160.
Повний текст джерелаMayfield, Colin. Higher Education in the Water Sector: A Global Overview. United Nations University Institute for Water, Environment and Health, May 2019. http://dx.doi.org/10.53328/guxy9244.
Повний текст джерелаSoenen, Karen, Dana Gerlach, Christina Haskins, Taylor Heyl, Danie Kinkade, Sawyer Newman, Shannon Rauch, et al. How can BCO-DMO help with your oceanographic data? How can BCO-DMO help with your oceanographic data?, December 2021. http://dx.doi.org/10.1575/1912/27803.
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