Výsledky vyhľadávania - Automated Data Collection with R: A Practical Guide to Web Scraping and Text Mining*

Automated Data Collection with R: A Practical Guide to Web Scraping and Text Mining.

Autori: Selig, Katharina¹ Katharina.selig@tum.de

Zdroj: Biometrics. Dec2017, Vol. 73 Issue 4, p1469-1469. 7p.

Predmety: *AUTOMATIC data collection systems, *NONFICTION

Reviews & Products: AUTOMATED Data Collection With R: A Practical Guide to Web Scraping & Text Mining (Book)

Osoby: MUNZERT, Simon, RUBBA, Christian, MEISSNER, Peter, NYHUIS, Dominic

Automated data collection with R : a practical guide to web scraping and text mining / Simon Munzert, Christian Rubba, Peter Meißner, Dominic Nyhuis.

Autori: Munzert, Simon (1985- ). Rubba, Christian (1984- ). Meissner, Peter. a ďalší

Prispievatelia: Munzert, Simon (1985- ). Rubba, Christian (1984- ). Meissner, Peter. a ďalší

Zdroj: Bibliogr. s. [435]-441. Indeks.

Prístupová URL adresa: http://katalog.nukat.edu.pl/lib/item?id=chamo:3871701&theme=nukat

Automated Data Collection with R - A Practical Guide to Web Scraping and Text Mining

Autori: Stefano M. Iacus

Zdroj: Journal of Statistical Software, Vol 68, Iss 1, Pp 1-3 (2015)

Predmety: Statistics, HA1-4737

Popis súboru: electronic resource

Relation: https://www.jstatsoft.org/index.php/jss/article/view/2448; https://doaj.org/toc/1548-7660

Prístupová URL adresa: https://doaj.org/article/aea6070d39544a9ea6a0c3c99308afa7

Automated Data Collection with R: A Practical Guide to Web Scraping and Text Mining

Autori: Munzert, Simon Rubba, Christian Meißner, Peter a ďalší

Automated Data Collection with R : A Practical Guide to Web Scraping and Text Mining

Autori: Simon Munzert Christian Rubba Peter Meißner a ďalší

Typ zdroja: eBook.

Predmet: Data mining, Automatic data collection systems, Social sciences--Research--Data processing, R (Computer program language)

Kategórie: COMPUTERS / Data Science / Data Analytics

Automated data collection with R : a practical guide to Web scraping and text mining

Autori: Munzert, Simon Ruoba, Christin Meiboner, Peter a ďalší

Predmety: Computing and Computers

Relation: http://cds.cern.ch/record/2000773; oai:cds.cern.ch:2000773

Dostupnosť: http://cds.cern.ch/record/2000773

Automated Data Collection with R - A Practical Guide to Web Scraping and Text Mining

Autori: Iacus, Stefano M.

Relation: https://www.jstatsoft.org/index.php/jss/article/view/v068b03/v68b03.pdf

Dostupnosť: https://www.jstatsoft.org/index.php/jss/article/view/v068b03/v68b03.pdf

Hand Collecting and Coding Versus Data-Driven Methods in Technical and Professional Communication Research.

Autori: Lauer, Claire Brumberger, Eva Beveridge, Aaron

Zdroj: IEEE Transactions on Professional Communication; Dec2018, Vol. 61 Issue 4, p389-408, 20p

Predmety: TEXT mining, COMPUTER programming, BIG data, DATA analysis, DATA mining

Scraping the Surface: A Guide to Data Collection Using Web Scraping in Sports Medicine.

Autori: Pinkoski, Adam M. Ward, Patrick Kluzek, Stefan a ďalší

Zdroj: Journal of Strength & Conditioning Research; 12/1/2025, Vol. 39 Issue 12, pe1473-e1479, 7p

Predmety: WORLD Wide Web, SPORTS medicine, COMPUTER software, DATA analysis, PROGRAMMING languages, CONTENT mining, MEDICAL research, MEDICAL coding, SPORTS sciences, HTML (Document markup language)

Fields of Gold: Scraping Web Data for Marketing Insights.

Autori: Boegershausen, Johannes Datta, Hannes Borah, Abhishek a ďalší

Zdroj: Journal of Marketing; Sep2022, Vol. 86 Issue 5, p1-20, 20p, 1 Diagram, 4 Charts, 1 Graph

Predmety: DATA mining, MARKETING, INTERNET, APPLICATION program interfaces, ACQUISITION of data, DATA extraction, USER-generated content, BIG data, CONSUMERS

Automating public governance oversight: evidence from the Federal District of Brazil.

Autori: de Souza FREIRE, Fátima Carvalho Lustosa COSTA, Giovanni Pacelli Mendes MARTINS, Vinicius a ďalší

Zdroj: Administration & Public Management Review; 2025, Issue 45, p91-109, 19p

Predmety: AUTOMATION, GOVERNMENT accountability, DATA extraction, INTERNET in public administration, STANDARDS

Geografický termín: BRAZIL

Introducción a la ciencia de datos en R. Un enfoque práctico ; Un enfoque práctico ; Introduction to data science in R. A practical approach

Autori: Pérez Castillo, José Nelson Pérez Castillo, José Nelson 0000-0001-8153-3113

Prispievatelia: Pérez Castillo, José Nelson Pérez Castillo, José Nelson 0000-0001-8153-3113

Predmety: Ciencia de datos, Minería de datos, Estadística, Análisis estadístico, Plataforma R, R (Sistema para análisis estadísticos y gráficos) -- Estudio de casos, Análisis de datos, Estadística -- Fundamentos, Data science, Data mining, Statistics, Statistic analysis, R Platform

Popis súboru: pdf; application/pdf

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Disponible en: https:// amzn.to/2SgS8ee ^15; G. J. Myatt y W. P. Johnson, Making Sense of Data I: A Practical Guide to Exploratory Data Analysis and Data Mining. Second Edition: John Wiley and Sons Inc, 2014. [En línea]. Disponible en: https://amzn.to/2GeYIwY; N. Sawant y H. Shah, Big Data Application Architecture Q&A. A Problem-Solution Approach. Apress, 2013. [En línea]. Disponible en: https://amzn.to/2NWolsY; J. Janssens, Data Science at the Command Line. O’Reilly Media Inc., 2015. [En línea]. Disponible en: http://bit.ly/2xNiNGb ^6; D. Feinleib, Big Data Bootcamp. Apress, 2013; P. Warden, Big Data Glossary. O’Reilly Media Inc., 2011. [En línea]. Disponible en: http://bit.ly/2YWLCfo; O’Reilly Media, Inc. Big Data Now. O’Reilly Media Inc., Edition 2016. [En línea]. Disponible en: https://oreil.ly/2XOMCkh ^17; O’Reilly Media, Inc. Big Data Now: 2015 Edition, O’Reilly Media Inc., 2015.; O’Reilly Media, Inc. Big Data Now: 2014 Edition, O’Reilly Media Inc., 2014.; O’Reilly Media, Inc. Big Data Now: 2013 Edition, O’Reilly Media Inc., 2013.; O’Reilly Media, Inc. Big Data Now: O’Reilly Media Inc., Edition, 2012. [En línea]. Disponible en: https://oreil.ly/2GhdyDo ^17; R. Jurney, Agile Data Science. O’Reilly Media Inc., 2014. [En línea]. Disponible en: http://bit.ly/2LViQrJ ^13; G. J. Myatt y W. P. Johnson, Making Sense of Data I: A Practical Guide to Exploratory Data Analysis and Data Mining. Second Edition. New Jersey: John Wiley and Sons Inc., 2014. [En línea]. Disponible en: http://bit.ly/30yuooJ; M. J. Crawley, Statistics: An introduction using R. Second Edition, London: John Wiley & Sons Inc., 2015. [En línea]. Disponible en: http://bit.ly/2YUxfrF; P. Dalgaard, Introductory Statistics with R. Second Edition, Springer, 2008. [En línea]. Disponible en: http://bit.ly/30yYw3k; T. Hothorn y B. S. Everitt, A Handbook of Statistical Analyses Using R. 3rd Edition, New York: Chapma and Hall / CRC Press, 2014. [En línea]. Disponible en: http://bit.ly/2SiabRf; D. Nolan y D. Temple Lang, Data Science in R: a Case Studies Approach to Computational Reasoning and Problem Solving. Boca Ratón Florida: Taylor & Francis Group / CRC Press, 2015. [En línea]. Disponible en: https://amzn.to/32umleH; A. B. Downey, Think Stats. Exploratory Data Analysis. Second Edition, USA Highway Sebastopol, CA: O’Reilly Media Inc. 2015. [En línea]. Disponible en: https://amzn.to/2LVjh5g; S. Stowell, Using R for Statistics. Apress, 2014. [En línea]. Disponible en: https:// amzn.to/2XGIoQx; J. M. Quick, Statistical Analysis with R. Beginner’s Guide. Packt Publishing, 2010. [En línea]. Disponible en: https://amzn.to/2XM3soM; A. Reinhart, Statistics Done Wrong. The Woefully Complete Guide. San Francisco, CA: No Starch Press, Inc., 2015. [En línea]. Disponible en: https://amzn. to/2JBh6lT; S. Boslaugh y P.A. Watters, Statistics In A Nutshell. O’Reilly Media Inc., 2008. [En línea]. Disponible en: http://bit.ly/2Yan8Sq; A. Mood, F. A. Graybill y D. Boes, Introduction to the Theory of Statistics. Third Edition, McGraw Hill. 1974. [En línea]. Disponible en: https://amzn.to/32v5MPK; G. J. Myatt y W. P. Johnson, Making Sense of Data I: A Practical Guide to Exploratory Data Analysis and Data Mining. Second Edition. New Jersey: John Wiley and Sons Inc., 2014. [En línea]. Disponible en: https://amzn.to/2Gclzte; M. J. Crawley, Statistics: An introduction using R. Second Edition, John Wiley and Sons Inc., 2015. [En línea]. Disponible en: http://bit.ly/2JLUuhi; R. I. Kabacoff, R in Action. Second Edition, Manning Publications Co., 2015. [En línea]. Disponible en: http://bit.ly/2LVVkuO; P. Dalgaard, Introductory Statistics with R. Second Edition, New York: Springer, 2008. [En línea]. Disponible en: http://bit.ly/30yYw3k; B. S. Everitt and T. Hothorn, A Handbook of Statistical Analyses Using R. Second Edition, CRC Press, 2010. [En línea]. Disponible en: http://bit.ly/2XZoPlR; D. Nolan and D. Temple Lang, Data Science in R: a Case Studies Approach to Computational Reasoning and Problem Solving. 1st Edition, CRC Press, 2015. [En línea]. Disponible en: http://bit.ly/30wsYew; A. B. Downey, Think Stats. Exploratory Data Analysis. O’Reilly Media Inc. 2015. [En línea]. Disponible en: https://amzn.to/2LVjh5g; S. Stowell, Using R for Statistics. Apress, 2014. [En línea]. Disponible en: http:// bit.ly/2YUXeiG[9]; J. M. Quick, Statistical Analysis with R. Beginner’s Guide. Packt Publishing, 2010. [En línea]. Disponible en https://amzn.to/2XM3soM; R Core Team, R: A Language and Environment for Statistical Computing. Viena: R Foundation for Statistical Computing, 2014. [En línea]. Disponible en http:// www.r-project.org; M. J. Crawley, “Statistics: An introduction using R”, Journal of Statistical Software. Vol. 67, no. 5, 2nd Edition, John Wiley and Sons Inc, pp. 1-4, 2015.; P. Dalgaard, Introductory Statistics with R, Second Edition, Springer, 2008. [En línea]. Disponible en: http://www.academia.dk/BiologiskAntropologi/Epidemiologi/PDF/Introductory_Statistics_with_R__2nd_ed.pdf; S. Munzert, C. Rubba, P. Meissner y D. Nyhuis, Automated Data Collection with R: A Practical Guide to Web Scraping and Text Mining. [En línea]. Disponible en: https://www.wiley.com/en-co/Automated+Data+Collection+with+R:+A+Pr actical+Guide+to+Web+Scraping+and+Text+Mining-p-9781118834817; D. Nolan and D. Temple Lang, Data Science in R: A Case Studies Approach to Computational Reasoning and Problem Solving, CRC Press, 2015. [En línea]. Disponible en: https://www.crcpress.com/Data-Science-in-R-A-Case-Studies-Approachto-Computational-Reasoning-and/Nolan-Lang/p/book/9781482234817; S. Stowell, Using R for Statistics. Apress, 2014. [En línea]. Disponible en: https:// www.apress.com/gp/book/9781484201404; J. M. Quick, Statistical Analysis with R. Beginner’s Guide. Packt Publishing, 2010. [En línea]. Disponible en: https://www.amazon.com/Statistical-Analysis-John-M-Quick/dp/1849512086; J. E. Friedl, Mastering Regular Expressions. Third Edición, O’ Reilly, 2006. [En línea]. Disponible en: https://doc.lagout.org/programmation/Regular%20 Expressions/Mastering%20Regular%20Expressions_%20Understand%20 Your%20Data%20and%20Be%20More%20Productive%20%283rd%20 ed.%29%20%5BFriedl%202006-08-18%5D.pdf; J. Ooms, D. James, S. DebRoy, H. Wickman y J. Horner, RMySQL: Database Interface and ’MySQL’ driver for R. R package version 0.10.11, 2017. [En línea]. Disponible en: https://cran.rproject.org/package=RMySQL; K. Muller, J. Ooms, D. James, S. DebRoy, H. Wickman, J. Horner, RStudio, and K. Hogskolan. RMariaDB: Database Interface and MariaDB Driver, R package version 1.0-2, May 6, 2018.; S. Urbanek, RJDBC: Provides access to databases through the JDBC interface. R package version 0.2-5, 2014. [En línea]. Disponible en https://cran.r-project.org/ package=RJDBC; B. Ripley and M. Lapsley, ODBC Database Access. Package ‘RODBC’version 1.3-15, 2017. [En línea]. Disponible en: https://cran.r-project.org/package=RODBC; D. Mukhin, D. A. James and J. Luciani, ROracle: OCI Based Oracle Database Interface for R. R package version 1.3-1, 2016. [En línea]. Disponible en: https://cran. rproject.org/package=ROracle.; A. Collier, feedeR: Read RSS/Atom Feeds from R. R package version 0.0.7, 2016. [En línea]. Disponible en: https://cran.r-project.org/package=feedeR; B. Lantz, Machine Learning with R. 2nd Edition. UK. Birmingham: Packt Publishing, 2013. [En línea]. Disponible en: http://bit.ly/2JyjycM; E. Mayor, Learning Predictive Analytics with R. Packt Publishing, 2015. [En línea]. Disponible en: https://amzn.to/2JBlzVP; J. Ledolter, Data Mining and Business Analytics with R. New Jersey: John Wiley Sons, 2013. [En línea]. Disponible en: http://bit.ly/2XQyszd; N. Zumel and J. Mount, Practical Data Science with R. Manning Publications Co., 2014. [En línea]. Disponible en: http://bit.ly/2XO0M5e; R. Kabacoff, R in Action. Second Edition, Manning Publications Co., 2015. [En línea]. Disponible en: https://www.manning.com/books/r-in-action-second-edition; E. Mayor, Learning Predictive Analytics with R. Packt Publishing, 2015. [En línea]. Disponible en: https://www.amazon.in/Learning-Predictive-Analytics-EricMayor/dp/1782169350; J. Ledolter, Data Mining and Business Analytics with R. John Wiley Sons, 2013. [En línea]. Disponible en: http://bit.ly/2XQyszd; N. Zumel and J. Mount, Practical Data Science with R, Manning Publications Co., 2014. [En línea]. Disponible en: https://www.manning.com/books/practicaldata-science-with-r; M. Hasler, C. Buchta, B. Gruen, K. Hornik, I. Johnson and C. Borgelt. arules: Mining Association Rules and Frequent Itemsets, R package version 1.6-1, 2016. Disponible en [En línea]. Disponible en: https://www.rdocumentation.org/packages/arules/versions/1.6-3; https://hdl.handle.net/11349/32324; Universidad Distrital Francisco José de Caldas. Centro de Investigaciones y Desarrollo Científico

Dostupnosť: https://hdl.handle.net/11349/32324

A Methodological Framework for AI-Driven Textual Data Analysis in Digital Media.

Autori: Cordeiro, Douglas Lopezosa, Carlos Guallar, Javier

Zdroj: Future Internet; Feb2025, Vol. 17 Issue 2, p59, 26p

Predmety: ARTIFICIAL intelligence, NATURAL language processing, SENTIMENT analysis, DIGITAL media, DIGITAL technology

Practical Web Scraping for Data Science : Best Practices and Examples with Python

Autori: Seppe vanden Broucke Bart Baesens

Typ zdroja: eBook.

Predmet: Data mining, Automatic data collection systems, Python (Computer program language)

Kategórie: COMPUTERS / Languages / Python, COMPUTERS / Database Administration & Management, MATHEMATICS / Probability & Statistics / General

A simple guide to the use of Student's t-test, Mann-Whitney U test, Chi-squared test, and Kruskal-Wallis test in biostatistics.

Autori: Chicco, Davide Sichenze, Andrea Jurman, Giuseppe

Zdroj: BioData Mining; 8/20/2025, Vol. 18 Issue 1, p1-51, 51p

Predmety: T-test (Statistics), MANN Whitney U Test, DATA analysis, BIOMETRY, KRUSKAL-Wallis Test, STATISTICAL hypothesis testing, RESEARCH methodology, CHI-squared test

A Semi-Automated Framework for Flood Ontology Construction with an Application in Risk Communication.

Autori: Li, Shenglin Erickson, Caleb Zajac, Michal a ďalší

Zdroj: Water (20734441); Oct2025, Vol. 17 Issue 19, p2801, 31p

Predmety: FLOODS, RISK communication, ONTOLOGY, LANGUAGE models, COMMUNITY involvement, EMERGENCY communication systems, AUTOMATION software

Web Crawler To Extract Links.

Autori: Agnihotri, Chhaveesh Rupavatiya, Yash Bansal, Akshat a ďalší

Zdroj: Cuestiones de Fisioterapia; 2025, Vol. 54 Issue 2, p2039-2051, 13p

Predmety: WEBSITES, SCALABILITY

Employing Machine Learning and Deep Learning Models for Mental Illness Detection.

Autori: Zhang, Yeyubei Wang, Zhongyan Ding, Zhanyi a ďalší

Zdroj: Computation; Aug2025, Vol. 13 Issue 8, p186, 22p

Predmety: MENTAL health, MACHINE learning, SOCIAL media, DEEP learning, TEXT processing (Computer science), DATA analysis, MODEL validation, RESEARCH integrity

From Posts to Perceptions: Sentiment and Psychological Analysis of Aesthetic Enhancements on Social Media.

Autori: Rahman, Eqram Carruthers, Jean D. A. Rao, Parinitha a ďalší

Zdroj: Aesthetic Plastic Surgery; Mar2025, Vol. 49 Issue 5, p1478-1494, 17p

'Scraping' Reddit posts for academic research? Addressing some blurred lines of consent in growing internet-based research trend during the time of Covid-19.

Autori: Norman Adams, Nicholas

Zdroj: International Journal of Social Research Methodology; Jan2024, Vol. 27 Issue 1, p47-62, 16p

Predmety: COVID-19 pandemic, CONSCIOUSNESS raising, INTERNET forums, UNIVERSITY research, ELECTRONIC newspapers