{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,7]],"date-time":"2026-03-07T02:19:44Z","timestamp":1772849984276,"version":"3.50.1"},"publisher-location":"Cham","reference-count":13,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783030750176","type":"print"},{"value":"9783030750183","type":"electronic"}],"license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021]]},"DOI":"10.1007\/978-3-030-75018-3_4","type":"book-chapter","created":{"date-parts":[[2021,5,7]],"date-time":"2021-05-07T10:06:41Z","timestamp":1620382001000},"page":"55-71","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["Adapting the CRISP-DM Data Mining Process: A Case Study in the Financial Services Domain"],"prefix":"10.1007","author":[{"given":"Veronika","family":"Plotnikova","sequence":"first","affiliation":[]},{"given":"Marlon","family":"Dumas","sequence":"additional","affiliation":[]},{"given":"Fredrik","family":"Milani","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2021,5,8]]},"reference":[{"key":"4_CR1","unstructured":"Forbes Homepage (2017). https:\/\/www.forbes.com\/sites\/louiscolumbus\/2017\/12\/24\/53-of-companies-are-adopting-big-data-analytics. Accessed 30 Jan 2021"},{"key":"4_CR2","unstructured":"Niaksu, O.: CRISP data mining methodology extension for medical domain. Baltic J. Mod. Comput. 3(2), 92 (2015)"},{"key":"4_CR3","unstructured":"Solarte, J.: A proposed data mining methodology and its application to industrial engineering. Ph.D. thesis, University of Tennessee (2002)"},{"key":"4_CR4","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"578","DOI":"10.1007\/978-3-540-77226-2_59","volume-title":"Intelligent Data Engineering and Automated Learning - IDEAL 2007","author":"\u00d3 Marb\u00e1n","year":"2007","unstructured":"Marb\u00e1n, \u00d3., Mariscal, G., Menasalvas, E., Segovia, J.: An engineering approach to data mining projects. In: Yin, H., Tino, P., Corchado, E., Byrne, W., Yao, X. (eds.) IDEAL 2007. LNCS, vol. 4881, pp. 578\u2013588. Springer, Heidelberg (2007). https:\/\/doi.org\/10.1007\/978-3-540-77226-2_59"},{"key":"4_CR5","series-title":"Lecture Notes in Business Information Processing","doi-asserted-by":"publisher","first-page":"104","DOI":"10.1007\/978-3-030-31143-8_8","volume-title":"Perspectives in Business Informatics Research","author":"V Plotnikova","year":"2019","unstructured":"Plotnikova, V., Dumas, M., Milani, F.P.: Data mining methodologies in the banking domain: a systematic literature review. In: Pa\u0144kowska, M., Sandkuhl, K. (eds.) BIR 2019. LNBIP, vol. 365, pp. 104\u2013118. Springer, Cham (2019). https:\/\/doi.org\/10.1007\/978-3-030-31143-8_8"},{"key":"4_CR6","doi-asserted-by":"crossref","unstructured":"Marban, O., Mariscal, G., Segovia, J.: A data mining and knowledge discovery process model. In: Julio, P., Adem, K. (eds.) Data Mining and Knowledge Discovery in Real Life Applications, pp. 438\u2013453. Paris, I-Tech, Vienna (2009)","DOI":"10.5772\/6438"},{"key":"4_CR7","doi-asserted-by":"crossref","unstructured":"Plotnikova, V., Dumas, M., Milani, F.P.: Adaptations of data mining methodologies: a systematic literature review. PeerJ Comput. Sci. 6, e267, (2020)","DOI":"10.7717\/peerj-cs.267"},{"key":"4_CR8","doi-asserted-by":"crossref","unstructured":"Runeson, P., Host, M., Rainer, A., Regnell, B.: Case Study Research in Software Engineering: Guidelines and Examples. Wiley, Hoboken (2012)","DOI":"10.1002\/9781118181034"},{"key":"4_CR9","unstructured":"Yin, R.K.: Case Study Research and Applications: Design and Methods. Sage Publications, Los Angeles (2017)"},{"key":"4_CR10","unstructured":"Saldana, J.: The Coding Manual for Qualitative Researchers. Sage Publications, Los Angeles (2015)"},{"key":"4_CR11","doi-asserted-by":"crossref","unstructured":"McNaughton, B., Ray, P., Lewis, L: Designing an evaluation framework for IT service management. Inf. Manag. 47(4), 219\u2013225 (2010)","DOI":"10.1016\/j.im.2010.02.003"},{"key":"4_CR12","doi-asserted-by":"crossref","unstructured":"Martinez-Plumed, F., et al.: CRISP-DM twenty years later: from data mining processes to data science trajectories. IEEE Trans. Knowl. Data Eng. (2019)","DOI":"10.1109\/TKDE.2019.2962680"},{"key":"4_CR13","unstructured":"AXELOS Limited: ITIL\u00ae Foundation, ITIL 4 Edition. TSO (The Stationery Office) (2019)"}],"container-title":["Lecture Notes in Business Information Processing","Research Challenges in Information Science"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-75018-3_4","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,5,7]],"date-time":"2021-05-07T10:06:58Z","timestamp":1620382018000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-75018-3_4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9783030750176","9783030750183"],"references-count":13,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-75018-3_4","relation":{},"ISSN":["1865-1348","1865-1356"],"issn-type":[{"value":"1865-1348","type":"print"},{"value":"1865-1356","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021]]},"assertion":[{"value":"8 May 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"RCIS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Research Challenges in Information Science","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Limassol","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Cyprus","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2021","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11 May 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14 May 2021","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"rcis2021","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.rcis-conf.com\/rcis2021\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"99","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"29","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"23","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"29% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"5","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"The conference was held online due to the COVID-19 pandemic","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}