{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,5]],"date-time":"2025-11-05T11:23:29Z","timestamp":1762341809969,"version":"3.40.3"},"publisher-location":"Cham","reference-count":20,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030954079"},{"type":"electronic","value":"9783030954086"}],"license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"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":[[2022]]},"DOI":"10.1007\/978-3-030-95408-6_6","type":"book-chapter","created":{"date-parts":[[2022,1,31]],"date-time":"2022-01-31T00:04:07Z","timestamp":1643587447000},"page":"68-82","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Game Achievement Analysis: Process Mining Approach"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9655-9228","authenticated-orcid":false,"given":"Martin","family":"Macak","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0853-2776","authenticated-orcid":false,"given":"Lukas","family":"Daubner","sequence":"additional","affiliation":[]},{"given":"Julia","family":"Jamnicka","sequence":"additional","affiliation":[]},{"given":"Barbora","family":"Buhnova","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,1,31]]},"reference":[{"key":"6_CR1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-662-49851-4","volume-title":"Process Mining: Data Science in Action","author":"W van der Aalst","year":"2016","unstructured":"van der Aalst, W.: Process Mining: Data Science in Action, 2nd edn. Springer, Heidelberg (2016). https:\/\/doi.org\/10.1007\/978-3-662-49851-4","edition":"2"},{"key":"6_CR2","doi-asserted-by":"crossref","unstructured":"Apperley, T., Gandolfi, E.: Evaluating gamer achievements to understand player behavior. In: Data Analytics Applications in Gaming and Entertainment (2019)","DOI":"10.1201\/9780429286490-2"},{"key":"6_CR3","doi-asserted-by":"publisher","first-page":"347","DOI":"10.1016\/j.chb.2016.12.053","volume":"69","author":"Y Baek","year":"2017","unstructured":"Baek, Y., Touati, A.: Exploring how individual traits influence enjoyment in a mobile learning game. Comput. Hum. Behav. 69, 347\u2013357 (2017)","journal-title":"Comput. Hum. Behav."},{"key":"6_CR4","doi-asserted-by":"publisher","first-page":"516","DOI":"10.1016\/j.chb.2015.08.017","volume":"71","author":"C Cruz","year":"2017","unstructured":"Cruz, C., Hanus, M.D., Fox, J.: The need to achieve: players\u2019 perceptions and uses of extrinsic meta-game reward systems for video game consoles. Comput. Hum. Behav. 71, 516\u2013524 (2017)","journal-title":"Comput. Hum. Behav."},{"key":"6_CR5","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4471-4769-5","volume-title":"Game Analytics: Maximizing the Value of Player Data","author":"M El-Nasr","year":"2016","unstructured":"El-Nasr, M., Drachen, A., Canossa, A.: Game Analytics: Maximizing the Value of Player Data. Springer, London (2016). https:\/\/doi.org\/10.1007\/978-1-4471-4769-5"},{"issue":"1","key":"6_CR6","doi-asserted-by":"publisher","first-page":"67","DOI":"10.1007\/s00766-018-00308-3","volume":"25","author":"M Ghasemi","year":"2019","unstructured":"Ghasemi, M., Amyot, D.: From event logs to goals: a systematic literature review of goal-oriented process mining. Requirements Eng. 25(1), 67\u201393 (2019). https:\/\/doi.org\/10.1007\/s00766-018-00308-3","journal-title":"Requirements Eng."},{"key":"6_CR7","doi-asserted-by":"publisher","first-page":"151","DOI":"10.1016\/j.chb.2019.02.026","volume":"97","author":"C Groening","year":"2019","unstructured":"Groening, C., Binnewies, C.: \u201cAchievement unlocked!\u2019\u2019 - the impact of digital achievements as a gamification element on motivation and performance. Comput. Hum. Behav. 97, 151\u2013166 (2019)","journal-title":"Comput. Hum. Behav."},{"key":"6_CR8","doi-asserted-by":"crossref","unstructured":"Heeter, C., Lee, Y.H., Medler, B., Magerko, B.: Conceptually meaningful metrics: inferring optimal challenge and mindset from gameplay, p. 36, March 2013","DOI":"10.1007\/978-1-4471-4769-5_32"},{"key":"6_CR9","doi-asserted-by":"crossref","unstructured":"Jakobsson, M.: Achievement anatomy. In: Debugging Game History: A Critical Lexicon, p. 1 (2016)","DOI":"10.7551\/mitpress\/10087.003.0003"},{"key":"6_CR10","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s10639-021-10564-6","volume":"26","author":"M Macak","year":"2021","unstructured":"Macak, M., Kruzelova, D., Chren, S., Buhnova, B.: Using process mining for git log analysis of projects in a software development course. Educ. Inf. Technol. 26, 1\u201331 (2021)","journal-title":"Educ. Inf. Technol."},{"key":"6_CR11","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-16071-9","volume-title":"Process Mining in Healthcare: Evaluating and Exploiting Operational Healthcare Processes","author":"RS Mans","year":"2015","unstructured":"Mans, R.S., Van der Aalst, W.M., Vanwersch, R.J.: Process Mining in Healthcare: Evaluating and Exploiting Operational Healthcare Processes. Springer, Cham (2015). https:\/\/doi.org\/10.1007\/978-3-319-16071-9"},{"key":"6_CR12","doi-asserted-by":"publisher","DOI":"10.1201\/9780080889795","volume-title":"Pervasive Games: Theory and Design","author":"M Montola","year":"2009","unstructured":"Montola, M., Stenros, J., Waern, A.: Pervasive Games: Theory and Design. CRC Press, Boca Raton (2009)"},{"key":"6_CR13","doi-asserted-by":"publisher","first-page":"103","DOI":"10.1016\/j.cose.2018.06.002","volume":"78","author":"D Myers","year":"2018","unstructured":"Myers, D., Suriadi, S., Radke, K., Foo, E.: Anomaly detection for industrial control systems using process mining. Comput. Secur. 78, 103\u2013125 (2018)","journal-title":"Comput. Secur."},{"key":"6_CR14","unstructured":"Nikitina, K.: Educational game analysis using intention and process mining. Master\u2019s thesis, National Research University Higher School of Economics (2020)"},{"key":"6_CR15","first-page":"647","volume":"59","author":"S Prot","year":"2012","unstructured":"Prot, S., McDonald, K.A., Anderson, C.A., Gentile, D.A.: Video games: good, bad, or other? Pediatr. Clin. 59, 647\u2013658 (2012)","journal-title":"Pediatr. Clin."},{"key":"6_CR16","doi-asserted-by":"crossref","unstructured":"Ramadan, S., Ibrahim Baqapuri, H., Roecher, E., Mathiak, K.: Process mining of logged gaming behavior. In: 2019 International Conference on Process Mining (ICPM), pp. 57\u201364 (2019)","DOI":"10.1109\/ICPM.2019.00019"},{"key":"6_CR17","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"275","DOI":"10.1007\/978-3-642-29178-4_28","volume-title":"Applications of Evolutionary Computation","author":"N Shaker","year":"2012","unstructured":"Shaker, N., Yannakakis, G.N., Togelius, J.: Digging deeper into platform game level design: session size and sequential features. In: Di Chio, C., et al. (eds.) EvoApplications 2012. LNCS, vol. 7248, pp. 275\u2013284. Springer, Heidelberg (2012). https:\/\/doi.org\/10.1007\/978-3-642-29178-4_28"},{"key":"6_CR18","doi-asserted-by":"crossref","unstructured":"Siqueira, E., Castanho, C., Rodrigues, G., Jacobi, R.: A data analysis of player in world of warcraft using game data mining. In: 2017 16th Brazilian Symposium on Computer Games and Digital Entertainment (SBGames), pp. 1\u20139, November 2017","DOI":"10.1109\/SBGames.2017.00009"},{"key":"6_CR19","series-title":"Lecture Notes in Networks and Systems","doi-asserted-by":"publisher","first-page":"425","DOI":"10.1007\/978-3-319-95678-7_47","volume-title":"Smart Industry & Smart Education","author":"T Schaedler Uhlmann","year":"2019","unstructured":"Schaedler Uhlmann, T., Alves Portela Santos, E., Mendes, L.A.: Process mining applied to player interaction and decision taking analysis in educational remote games. In: Auer, M.E., Langmann, R. (eds.) REV 2018. LNNS, vol. 47, pp. 425\u2013434. Springer, Cham (2019). https:\/\/doi.org\/10.1007\/978-3-319-95678-7_47"},{"key":"6_CR20","unstructured":"Weijters, A., van der Aalst, W.M., De Medeiros, A.A.: Process mining with the heuristics miner-algorithm. Technische Universiteit Eindhoven, Technical report WP 166, pp. 1\u201334 (2006)"}],"container-title":["Lecture Notes in Computer Science","Advanced Data Mining and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-95408-6_6","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,17]],"date-time":"2024-09-17T16:34:19Z","timestamp":1726590859000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-95408-6_6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783030954079","9783030954086"],"references-count":20,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-95408-6_6","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2022]]},"assertion":[{"value":"31 January 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ADMA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Advanced Data Mining and Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Sydney, NSW","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Australia","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2022","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2 February 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"4 February 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"adma2021","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/adma2021.net\/","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":"CMT3","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"116","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":"26","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":"35","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":"22% - 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":"5","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":"3","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":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}