{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T14:44:17Z","timestamp":1742913857322,"version":"3.40.3"},"publisher-location":"Cham","reference-count":27,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783031262807"},{"type":"electronic","value":"9783031262814"}],"license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023]]},"DOI":"10.1007\/978-3-031-26281-4_1","type":"book-chapter","created":{"date-parts":[[2023,2,11]],"date-time":"2023-02-11T06:47:02Z","timestamp":1676098022000},"page":"1-11","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Data Integration in\u00a0Practice: Academic Finance Analytics Case Study"],"prefix":"10.1007","author":[{"given":"Kittayaporn","family":"Chantaranimi","sequence":"first","affiliation":[]},{"given":"Juggapong","family":"Natwichai","sequence":"additional","affiliation":[]},{"given":"Pawat","family":"Pajsaranuwat","sequence":"additional","affiliation":[]},{"given":"Anawat","family":"Wisetborisut","sequence":"additional","affiliation":[]},{"given":"Surapong","family":"Phosu","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,2,12]]},"reference":[{"key":"1_CR1","doi-asserted-by":"publisher","unstructured":"Halevy, A.: Answering queries using views: A survey (2001). https:\/\/doi.org\/10.1007\/s007780100054","DOI":"10.1007\/s007780100054"},{"key":"1_CR2","series-title":"IFIP International Federation for Information Processing","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1007\/978-1-4020-8157-6_1","volume-title":"Building the Information Society","author":"P Ziegler","year":"2004","unstructured":"Ziegler, P., Dittrich, K.R.: Three decades of data intecration\u2014 all problems solved? In: Jacquart, R. (ed.) Building the Information Society. IIFIP, vol. 156, pp. 3\u201312. Springer, Boston, MA (2004). https:\/\/doi.org\/10.1007\/978-1-4020-8157-6_1"},{"key":"1_CR3","unstructured":"Eduardo, S., Nazabal, A., Williams, C.K.I.: Robust variational autoencoders for outlier detection and repair of mixed-type data. In: International Conference on Artificial Intelligence and Statistics, pp. 4056-4066. PMLR (2020)"},{"key":"1_CR4","unstructured":"Aggarwal, C.C., Reddy, C.K.: Data Clustering: Algorithms and Applications, 1st edn. Chapman & Hall\/CRC (2013)"},{"key":"1_CR5","doi-asserted-by":"publisher","first-page":"613","DOI":"10.1007\/978-3-319-95204-8_51","volume-title":"Knowledge Management in Organizations","author":"S Ang\u00e9e","year":"2018","unstructured":"Ang\u00e9e, S., Lozano-Argel, S.I., Montoya-Munera, E.N., Ospina-Arango, J.D., Tabares-Betancur, M.S.: Towards an improved asum-dm process methodology for cross-disciplinary multi-organization big data & analytics projects. In: Uden, L., Hadzima, B., Ting, I.H. (eds.) Knowledge Management in Organizations, pp. 613\u2013624. Springer International Publishing, Cham (2018)"},{"key":"1_CR6","doi-asserted-by":"crossref","unstructured":"Batini, C., Lenzerini, M., Navathe, S.B.: A comparative analysis of methodologies for database schema integration. ACM Comput. Surv. 18(4), 323\u2013364 (1986)","DOI":"10.1145\/27633.27634"},{"issue":"6","key":"1_CR7","doi-asserted-by":"publisher","first-page":"5263","DOI":"10.1007\/s11192-021-03982-3","volume":"126","author":"S-P Chen","year":"2021","unstructured":"Chen, S.-P., Chang, C.-W.: Measuring the efficiency of university departments: an empirical study using data envelopment analysis and cluster analysis. Scientometrics 126(6), 5263\u20135284 (2021). https:\/\/doi.org\/10.1007\/s11192-021-03982-3","journal-title":"Scientometrics"},{"key":"1_CR8","doi-asserted-by":"publisher","unstructured":"Dayal, U., Castellanos, M., Simitsis, A., Wilkinson, K.: Data integration flows for business intelligence. In: Association for Computing Machinery, pp. 1\u201311 (2009). https:\/\/doi.org\/10.1145\/1516360.1516362","DOI":"10.1145\/1516360.1516362"},{"key":"1_CR9","unstructured":"Deloitte Touche Tohmatsu Limited (2020) Covid-19 impact on higher education. https:\/\/www2.deloitte.com\/us\/en\/pages\/public-sector\/articles\/covid-19-impact-on-higher-education.html Accessed 11 August 2022"},{"key":"1_CR10","doi-asserted-by":"publisher","unstructured":"Dong, X.L., Rekatsinas, T.: Data integration and machine learning: A natural synergy. Proc VLDB Endow 11(12), 2094\u20132097 (2018).https:\/\/doi.org\/10.14778\/3229863.3229876","DOI":"10.14778\/3229863.3229876"},{"key":"1_CR11","doi-asserted-by":"publisher","unstructured":"Elbawab, R.: University rankings and goals: A cluster analysis. Economies 10(9), 209 (2022) https:\/\/doi.org\/10.3390\/economies10090209, https:\/\/www.mdpi.com\/2227-7099\/10\/9\/209","DOI":"10.3390\/economies10090209"},{"key":"1_CR12","doi-asserted-by":"publisher","unstructured":"Guzman, J.H.E., Zuluaga-Ortiz, R.A., Donado, L.E.G., Delahoz-Dominguez, E.J., Marquez-Castillo, A., Suarez-S\u00e1nchez, M.: Cluster analysis in higher education institutions\u2019 knowledge identification and production processes. Procedia Computer Science 203:570\u2013574 (2022). https:\/\/doi.org\/10.1016\/j.procs.2022.07.081, https:\/\/www.sciencedirect.com\/science\/article\/pii\/S187705092200686X In: 17th International Conference on Future Networks and Communications\/19th International Conference on Mobile Systems and Pervasive Computing\/12th International Conference on Sustainable Energy Information Technology (FNC\/MobiSPC\/SEIT 2022), August 9-11, 2022, Niagara Falls, Ontario, Canada","DOI":"10.1016\/j.procs.2022.07.081"},{"key":"1_CR13","unstructured":"Han, J., Kamber, M., Pei, J.: Data Mining Concepts and Techniques, third edition (2012). www.amazon.de\/Data-Mining-Concepts-Techniques-Management\/dp\/0123814790\/ref=tmm_hrd_title_0?ie=UTF8 &qid=1366039033 &sr=1-1"},{"key":"1_CR14","unstructured":"IBM Corporation: Ibm spss modeler crisp-dm guide (2021). https:\/\/www.ibm.com\/docs\/en\/spss-modeler\/18.1.1?topic=spss-modeler-crisp-dm-guide Accessed 11 August 2022"},{"key":"1_CR15","doi-asserted-by":"crossref","unstructured":"Jain, A.K., Murty, M.N., Flynn, P.J.: Data clustering: A review 31(3), 264\u2013323 (2000)","DOI":"10.1145\/331499.331504"},{"issue":"3","key":"1_CR16","doi-asserted-by":"publisher","first-page":"103","DOI":"10.1177\/1833358318774357","volume":"47","author":"MF Kilkenny","year":"2018","unstructured":"Kilkenny, M.F., Robinson, K.M.: Data quality: \u201cgarbage in -garbage out\u2019\u2019. Health Information Management Journal 47(3), 103\u2013105 (2018). https:\/\/doi.org\/10.1177\/1833358318774357","journal-title":"Health Information Management Journal"},{"key":"1_CR17","doi-asserted-by":"publisher","unstructured":"Lenzerini, M.: Data integration: A theoretical perspective. Association for Computing Machinery, New York, NY, USA, PODS \u201902, pp. 233\u2013246 (2002). https:\/\/doi.org\/10.1145\/543613.543644","DOI":"10.1145\/543613.543644"},{"key":"1_CR18","doi-asserted-by":"publisher","DOI":"10.1093\/bib\/bbw113","author":"Y Li","year":"2018","unstructured":"Li, Y., Wu, F.X., Ngom, A.: A review on machine learning principles for multi-view biological data integration. (2018). https:\/\/doi.org\/10.1093\/bib\/bbw113","journal-title":"A review on machine learning principles for multi-view biological data integration."},{"key":"1_CR19","doi-asserted-by":"publisher","first-page":"166","DOI":"10.1145\/276404.276408","volume":"41","author":"C Parent","year":"1998","unstructured":"Parent, C., Spaccapietra, S.: Issues and approaches of database integration. Commun. ACM 41, 166\u2013178 (1998). https:\/\/doi.org\/10.1145\/276404.276408","journal-title":"Commun. ACM"},{"key":"1_CR20","doi-asserted-by":"crossref","unstructured":"Parent, C., Spaccapietra, S.: Database integration: The key to data interoperability. In: Advances in Object-Oriented Data Modeling, The MIT Press (2000)","DOI":"10.7551\/mitpress\/1131.003.0016"},{"key":"1_CR21","doi-asserted-by":"publisher","unstructured":"Pavlov, O.V., Katsamakas, E.: Covid-19 and financial sustainability of academic institutions. Sustainability (Switzerland) 13(7), 3903 (2021). https:\/\/doi.org\/10.3390\/su13073903","DOI":"10.3390\/su13073903"},{"key":"1_CR22","doi-asserted-by":"publisher","unstructured":"Poess, M., Rabl, T., Jacobsen, H.A., Caufield, B.: Tpc-di: The first industry benchmark for data integration. Proc. VLDB Endow 7(13), 1367\u20131378 (2014). https:\/\/doi.org\/10.14778\/2733004.2733009","DOI":"10.14778\/2733004.2733009"},{"key":"1_CR23","doi-asserted-by":"publisher","unstructured":"Rekatsinas, T., Chu, X., Ilyas, I.F., R\u00e9, C.: Holoclean: Holistic data repairs with probabilistic inference. Proc VLDB Endow 10(11), 1190\u20131201 (2017). https:\/\/doi.org\/10.14778\/3137628.3137631","DOI":"10.14778\/3137628.3137631"},{"issue":"4","key":"1_CR24","doi-asserted-by":"publisher","first-page":"1328","DOI":"10.1109\/TKDE.2019.2946162","volume":"33","author":"Y Roh","year":"2021","unstructured":"Roh, Y., Heo, G., Whang, S.E.: A survey on data collection for machine learning: a big data-ai integration perspective. Trans. Knowl. Data Mach. Learn. 33(4), 1328\u20131347 (2021). https:\/\/doi.org\/10.1109\/TKDE.2019.2946162","journal-title":"Trans. Knowl. Data Mach. Learn."},{"key":"1_CR25","first-page":"108","volume":"7","author":"WJ Rowley","year":"2020","unstructured":"Rowley, W.J.: Higher education in the midst of a pandemic: a dean\u2019s perspective. Int. Dialogues Educ. 7, 108\u2013115 (2020)","journal-title":"Int. Dialogues Educ."},{"key":"1_CR26","doi-asserted-by":"publisher","unstructured":"Sujansky, W.: Heterogeneous database integration in biomedicine. J. Biomed. Inform. 34, 285\u2013298 (2001). https:\/\/doi.org\/10.1006\/jbin.2001.1024, http:\/\/www.sciencedirect.com\/science\/article\/pii\/S153204640191024X","DOI":"10.1006\/jbin.2001.1024"},{"key":"1_CR27","unstructured":"Witze, A.: Universities will never be the same after the coronavirus crisis (2020). www.nature.com\/articles\/d41586-020-01518-y Accessed 11 August 2022"}],"container-title":["Lecture Notes on Data Engineering and Communications Technologies","Advances in Internet, Data &amp; Web Technologies"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-26281-4_1","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,12,6]],"date-time":"2023-12-06T18:19:30Z","timestamp":1701886770000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-26281-4_1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9783031262807","9783031262814"],"references-count":27,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-26281-4_1","relation":{},"ISSN":["2367-4512","2367-4520"],"issn-type":[{"type":"print","value":"2367-4512"},{"type":"electronic","value":"2367-4520"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"12 February 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"EIDWT","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Emerging Internetworking, Data & Web Technologies","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Semarang","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Indonesia","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"23 February 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"25 February 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"eidwt2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/voyager.ce.fit.ac.jp\/conf\/eidwt\/2023\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}