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Aggarwal, C.C. (2018). Machine learning for text. Springer.AggarwalC.C.2018Machine learning for textSpringer10.1007/978-3-319-73531-3Search in Google Scholar

Aguillo, I.F., Ortega, J.L., & Fernández, M. (2008). Webometric ranking of world universities: Introduction, methodology, and future developments. Higher education in Europe, 33(2–3), 233–244.AguilloI.F.OrtegaJ.L.FernándezM.2008Webometric ranking of world universities: Introduction, methodology, and future developmentsHigher education in Europe332–323324410.1080/03797720802254031Search in Google Scholar

Aguillo, I.F., & Orduna-Malea, E. (2013) The Ranking Web and the “World-Class” Universities: New Webometric Indicators Based on G-Factor, Interlinking, and Web 2.0 Tools. In book: Building World-Class Universities pp. 197–217. doi: 10.1007/978-94-6209-034-7_13AguilloI.F.Orduna-MaleaE.2013The Ranking Web and the “World-Class” Universities: New Webometric Indicators Based on G-Factor, Interlinking, and Web 2.0 ToolsIn book:Building World-Class Universities19721710.1007/978-94-6209-034-7_13Open DOISearch in Google Scholar

Bar-Ilan, J. (2019). Data Collection from the Web for Informetric Purposes. In Springer Handbook of Science and Technology Indicators (pp. 781–800). Springer, Cham.Bar-IlanJ.2019Data Collection from the Web for Informetric PurposesInSpringer Handbook of Science and Technology Indicators781800SpringerCham10.1007/978-3-030-02511-3_30Search in Google Scholar

Bianchi, G., R. Bruni, & F. Scalfati, (2018). Identifying e-Commerce in Enterprises by means of Text Mining and Classification Algorithms. Mathematical Problems in Engineering, 7231920.1-7231920.8.BianchiG.BruniR.ScalfatiF.2018Identifying e-Commerce in Enterprises by means of Text Mining and Classification AlgorithmsMathematical Problems in Engineering7231920.1-7231920.8.10.1155/2018/7231920Search in Google Scholar

Bianchi, G., Bruni, R., Laureti Palma, A., Perani, G., & Scalfati, F. (2019). The corporate identity of Italian Universities on the Web: a webometrics approach. In the Proceedings of the 2019 ISSI Conference ISSI (pp. 2273–2278).BianchiG.BruniR.Laureti PalmaA.PeraniG.ScalfatiF.2019The corporate identity of Italian Universities on the Web: a webometrics approachInthe Proceedings of the 2019 ISSI Conference ISSI22732278Search in Google Scholar

Björneborn, L., & Ingwersen, P. (2004). Toward a basic framework for webometrics. Journal of the American Society for Information Science and Technology, 55(14), 1216–1227.BjörnebornL.IngwersenP.2004Toward a basic framework for webometricsJournal of the American Society for Information Science and Technology55141216122710.1002/asi.20077Search in Google Scholar

Bruni, R., & Bianchi, G. (2015). Effective classification using a small training set based on discretization and statistical analysis. IEEE Transactions on Knowledge and Data Engineering, 27(9), 2349–2361.BruniR.BianchiG.2015Effective classification using a small training set based on discretization and statistical analysisIEEE Transactions on Knowledge and Data Engineering2792349236110.1109/TKDE.2015.2416727Search in Google Scholar

Bruni, R., Bianchi, G., Dolente, C., & Leporelli, C. (2019). Logical Analysis of Data as a Tool for the Analysis of Probabilistic Discrete Choice Behavior. Computers & Operations Research, 106, 191–201.BruniR.BianchiG.DolenteC.LeporelliC.2019Logical Analysis of Data as a Tool for the Analysis of Probabilistic Discrete Choice BehaviorComputers & Operations Research10619120110.1016/j.cor.2018.04.014Search in Google Scholar

Bruni, R., & Bianchi, G. (2020). Website categorization: A formal approach and robustness analysis in the case of e-commerce detection. Expert Systems with Applications, 142, 113001.BruniR.BianchiG.2020Website categorization: A formal approach and robustness analysis in the case of e-commerce detectionExpert Systems with Applications14211300110.1016/j.eswa.2019.113001Search in Google Scholar

Bychkova1, M.N., & Okushova, G.A. (2017). Methods of analysis of a modern university's presence in the Internet communicative space. AI & Society, 32, 89–100.Bychkova1M.N.OkushovaG.A.2017Methods of analysis of a modern university's presence in the Internet communicative spaceAI & Society328910010.1007/s00146-016-0648-5Search in Google Scholar

Daraio, C., & Bonaccorsi, A. (2017). Beyond university rankings? Generating new indicators on universities by linking data in open platforms. Journal of the Association for Information Science and Technology, 68(2), 508–529.DaraioC.BonaccorsiA.2017Beyond university rankings? Generating new indicators on universities by linking data in open platformsJournal of the Association for Information Science and Technology68250852910.1002/asi.23679Search in Google Scholar

Daraio, C., & Glänzel, W. (2016). Grand challenges in data integration—State of the art and future perspectives: An introduction. Scientometrics, 108(1), 391–400.DaraioC.GlänzelW.2016Grand challenges in data integration—State of the art and future perspectives: An introductionScientometrics108139140010.1007/s11192-016-1914-5Search in Google Scholar

Daraio, C., Bruni, R., Catalano, G., Daraio, A., Matteucci, G., Scannapieco, M., ... , & Lepori, B. (2020). A tailor-made data quality approach for higher educational data. Journal of Data and Information Science, 5(3), 129–160.DaraioC.BruniR.CatalanoG.DaraioA.MatteucciG.ScannapiecoM.LeporiB.2020A tailor-made data quality approach for higher educational dataJournal of Data and Information Science5312916010.2478/jdis-2020-0029Search in Google Scholar

Elgohary, A.E. (2008). Arab universities on the web: A webometric study. Electronic Library, 26(3), 374–386.ElgoharyA.E.2008Arab universities on the web: A webometric studyElectronic Library26337438610.1108/02640470810879518Search in Google Scholar

Glänzel, W., Moed, H.F., Schmoch, U., & Thelwall, M. (2019). Springer Handbook of Science and Technology Indicators. Springer Nature.GlänzelW.MoedH.F.SchmochU.ThelwallM.2019Springer Handbook of Science and Technology IndicatorsSpringer Nature10.1007/978-3-030-02511-3Search in Google Scholar

Göransson, B., & Brundenius, C. (2010). Universities in transition: The changing role and challenges for academic institutions. Springer Science & Business Media.GöranssonB.BrundeniusC.2010Universities in transition: The changing role and challenges for academic institutionsSpringer Science & Business MediaSearch in Google Scholar

Islam, M.A., & Alam, M.S. (2011). Webometric study of private universities in Bangladesh. Malaysian Journal of Library and Information Science, 16(2), 115–126.IslamM.A.AlamM.S.2011Webometric study of private universities in BangladeshMalaysian Journal of Library and Information Science162115126Search in Google Scholar

McCoy, C.G., Nelson, M.L., & Weigle, M.C. (2018) Mining the Web to approximate university rankings. Information Discovery and Delivery, 46(3), 173–183.McCoyC.G.NelsonM.L.WeigleM.C.2018Mining the Web to approximate university rankingsInformation Discovery and Delivery46317318310.1108/IDD-05-2018-0014Search in Google Scholar

Pal, A., Sarkar, A., & Bhattacharya, U. (2019). Webometric analysis of open universities in India. Library Philosophy and Practice. 3038.PalA.SarkarA.BhattacharyaU.2019Webometric analysis of open universities in IndiaLibrary Philosophy and Practice3038Search in Google Scholar

Seeber, M., Lepori, B., Lomi, A., Aguillo, I., & Barberio, V. (2012). Factors affecting web links between European higher education institutions. Journal of informetrics, 3, 435–447.SeeberM.LeporiB.LomiA.AguilloI.BarberioV.2012Factors affecting web links between European higher education institutionsJournal of informetrics343544710.1016/j.joi.2012.03.001Search in Google Scholar

Thelwall, M. (2019). Online Indicators for Non-Standard Academic Outputs. In Springer Handbook of Science and Technology Indicators (pp. 835–856). Springer, Cham.ThelwallM.2019Online Indicators for Non-Standard Academic OutputsInSpringer Handbook of Science and Technology Indicators835856SpringerCham10.1007/978-3-030-02511-3_33Search in Google Scholar

Thelwall, M. (2009). Introduction to webometrics: Quantitative web research for the social sciences. Synthesis lectures on information concepts, retrieval, and services 1.1 p. 1–116.ThelwallM.2009Introduction to webometrics: Quantitative web research for the social sciencesSynthesis lectures on information concepts, retrieval, and services 1.1111610.2200/S00176ED1V01Y200903ICR004Search in Google Scholar

Thelwall, M., Vaughan, L., & Björneborn, L. (2005). “Webometrics.” Annual Review of Information Science and Technology 39.1 p. 81–135.ThelwallM.VaughanL.BjörnebornL.2005“Webometrics.”Annual Review of Information Science and Technology3918113510.1002/aris.1440390110Search in Google Scholar

Vaughan, Liwen, & R. Yang. (2013). Web traffic and organization performance measures: Relationships and data sources examined. Journal of Informetrics 7.3 p. 699–711.VaughanLiwenYangR.2013Web traffic and organization performance measures: Relationships and data sources examinedJournal of Informetrics7369971110.1016/j.joi.2013.04.005Search in Google Scholar

Wouters, P., Zahedi, Z., & Costas, R. (2019). Social media metrics for new research evaluation. In Springer handbook of science and technology indicators (pp. 687–713). Springer, Cham.WoutersP.ZahediZ.CostasR.2019Social media metrics for new research evaluationInSpringer handbook of science and technology indicators687713SpringerCham10.1007/978-3-030-02511-3_26Search in Google Scholar

eISSN:
2543-683X
Język:
Angielski
Częstotliwość wydawania:
4 razy w roku
Dziedziny czasopisma:
Computer Sciences, Information Technology, Project Management, Databases and Data Mining