{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T01:24:48Z","timestamp":1743038688443,"version":"3.40.3"},"publisher-location":"Cham","reference-count":22,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030337773"},{"type":"electronic","value":"9783030337780"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019]]},"DOI":"10.1007\/978-3-030-33778-0_16","type":"book-chapter","created":{"date-parts":[[2019,10,18]],"date-time":"2019-10-18T14:28:50Z","timestamp":1571408930000},"page":"186-201","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Predicting Thermal Power Consumption of the Mars Express Satellite with Data Stream Mining"],"prefix":"10.1007","author":[{"given":"Bozhidar","family":"Stevanoski","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dragi","family":"Kocev","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Alja\u017e","family":"Osojnik","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ivica","family":"Dimitrovski","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sa\u0161o","family":"D\u017eeroski","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2019,10,16]]},"reference":[{"key":"16_CR1","first-page":"2367","volume":"13","author":"T Aho","year":"2012","unstructured":"Aho, T., \u017denko, B., D\u017eeroski, S., Elomaa, T.: Multi-target regression with rule ensembles. J. Mach. Learn. Res. 13, 2367\u20132407 (2012)","journal-title":"J. Mach. Learn. Res."},{"key":"16_CR2","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"480","DOI":"10.1007\/978-3-642-40988-2_31","volume-title":"Machine Learning and Knowledge Discovery in Databases","author":"E Almeida","year":"2013","unstructured":"Almeida, E., Ferreira, C., Gama, J.: Adaptive model rules from data streams. In: Blockeel, H., Kersting, K., Nijssen, S., \u017delezn\u00fd, F. (eds.) ECML PKDD 2013, Part I. LNCS (LNAI), vol. 8188, pp. 480\u2013492. Springer, Heidelberg (2013). https:\/\/doi.org\/10.1007\/978-3-642-40988-2_31"},{"key":"16_CR3","first-page":"1601","volume":"11","author":"A Bifet","year":"2010","unstructured":"Bifet, A., Holmes, G., Kirkby, R., Pfahringer, B.: MOA: Massive Online Analysis. J. Mach. Learn. Res. 11, 1601\u20131604 (2010)","journal-title":"J. Mach. Learn. Res."},{"key":"16_CR4","doi-asserted-by":"crossref","unstructured":"Breskvar, M., et al.: Predicting thermal power consumption of the Mars Express satellite with machine learning. In: 6th International Conference on Space Mission Challenges for Information Technology, pp. 88\u201393. IEEE (2017)","DOI":"10.1109\/SMC-IT.2017.22"},{"key":"16_CR5","unstructured":"Chicarro, A., Martin, P., Trautner, R.: The Mars express mission: an overview. In: Mars Express: The Scientific Payload, ESA SP 1240, pp. 3\u201313. European Space Agency, Publications Division (2004)"},{"key":"16_CR6","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"42","DOI":"10.1007\/3-540-44794-6_4","volume-title":"Principles of Data Mining and Knowledge Discovery","author":"A Clare","year":"2001","unstructured":"Clare, A., King, R.D.: Knowledge discovery in multi-label phenotype data. In: De Raedt, L., Siebes, A. (eds.) PKDD 2001. LNCS (LNAI), vol. 2168, pp. 42\u201353. Springer, Heidelberg (2001). https:\/\/doi.org\/10.1007\/3-540-44794-6_4"},{"key":"16_CR7","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"35","DOI":"10.1007\/3-540-45065-3_4","volume-title":"Machine Learning and Data Mining in Pattern Recognition","author":"F De Comit\u00e9","year":"2003","unstructured":"De Comit\u00e9, F., Gilleron, R., Tommasi, M.: Learning multi-label alternating decision trees from texts and data. In: Perner, P., Rosenfeld, A. (eds.) MLDM 2003. LNCS, vol. 2734, pp. 35\u201349. Springer, Heidelberg (2003). https:\/\/doi.org\/10.1007\/3-540-45065-3_4"},{"issue":"4","key":"16_CR8","first-page":"1105","volume":"83","author":"G De\u2019Ath","year":"2002","unstructured":"De\u2019Ath, G.: Multivariate regression trees: a new technique for modeling species-environment relationships. Ecology 83(4), 1105\u20131117 (2002)","journal-title":"Ecology"},{"issue":"3","key":"16_CR9","doi-asserted-by":"publisher","first-page":"30","DOI":"10.1145\/2829955","volume":"10","author":"J Duarte","year":"2016","unstructured":"Duarte, J., Gama, J., Bifet, A.: Adaptive model rules from high-speed data streams. ACM Trans. Knowl. Discov. Data 10(3), 30 (2016)","journal-title":"ACM Trans. Knowl. Discov. Data"},{"issue":"301","key":"16_CR10","doi-asserted-by":"publisher","first-page":"13","DOI":"10.1080\/01621459.1963.10500830","volume":"58","author":"W Hoeffding","year":"1963","unstructured":"Hoeffding, W.: Probability inequalities for sums of bounded random variables. J. Am. Stat. Assoc. 58(301), 13\u201330 (1963)","journal-title":"J. Am. Stat. Assoc."},{"key":"16_CR11","doi-asserted-by":"crossref","unstructured":"Ikonomovska, E., Gama, J., D\u017eeroski, S.: Incremental multi-target model trees for data streams. In: ACM Symposium on Applied Computing, pp. 988\u2013993. ACM (2011)","DOI":"10.1145\/1982185.1982402"},{"issue":"1","key":"16_CR12","doi-asserted-by":"publisher","first-page":"128","DOI":"10.1007\/s10618-010-0201-y","volume":"23","author":"E Ikonomovska","year":"2011","unstructured":"Ikonomovska, E., Gama, J., D\u017eeroski, S.: Learning model trees from evolving data streams. Data Min. Knowl. Discov. 23(1), 128\u2013168 (2011)","journal-title":"Data Min. Knowl. Discov."},{"issue":"5","key":"16_CR13","doi-asserted-by":"publisher","first-page":"905","DOI":"10.1109\/TPAMI.2007.1068","volume":"29","author":"R Khemchandani","year":"2007","unstructured":"Khemchandani, R., Chandra, S., et al.: Twin support vector machines for pattern classification. IEEE Trans. Pattern Anal. Mach. Intell. 29(5), 905\u2013910 (2007)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"16_CR14","doi-asserted-by":"crossref","unstructured":"Lucas, L., Boumghar, R.: Machine learning for spacecraft operations support - The Mars Express power challenge. In: International Conference on Space Mission Challenges for Information Technology, pp. 82\u201387. IEEE (2017)","DOI":"10.1109\/SMC-IT.2017.21"},{"key":"16_CR15","volume-title":"Machine Learning","author":"T Mitchell","year":"1997","unstructured":"Mitchell, T.: Machine Learning. McGraw Hill, Boston (1997)"},{"issue":"2","key":"16_CR16","doi-asserted-by":"publisher","first-page":"315","DOI":"10.1007\/s10844-017-0462-7","volume":"50","author":"A Osojnik","year":"2018","unstructured":"Osojnik, A., Panov, P., D\u017eeroski, S.: Tree-based methods for online multi-target regression. J. Intell. Inf. Syst. 50(2), 315\u2013339 (2018)","journal-title":"J. Intell. Inf. Syst."},{"key":"16_CR17","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"262","DOI":"10.1007\/978-3-642-24477-3_22","volume-title":"Discovery Science","author":"M Pugelj","year":"2011","unstructured":"Pugelj, M., D\u017eeroski, S.: Predicting structured outputs k-Nearest neighbours method. In: Elomaa, T., Hollm\u00e9n, J., Mannila, H. (eds.) DS 2011. LNCS (LNAI), vol. 6926, pp. 262\u2013276. Springer, Heidelberg (2011). https:\/\/doi.org\/10.1007\/978-3-642-24477-3_22"},{"key":"16_CR18","doi-asserted-by":"crossref","unstructured":"Shi, Z., Wen, Y., Feng, C., Zhao, H.: Drift detection for multi-label data streams based on label grouping and entropy. In: International Conference on Data Mining Workshops, pp. 724\u2013731. IEEE (2014)","DOI":"10.1109\/ICDMW.2014.92"},{"key":"16_CR19","unstructured":"Spyromitros-Xioufis, E., Spiliopoulou, M., Tsoumakas, G., Vlahavas, I.: Dealing with concept drift and class imbalance in multi-label stream classification. In: 22nd International Joint Conference on Artificial Intelligence, pp. 1583\u20131588. AAAI (2011)"},{"key":"16_CR20","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"222","DOI":"10.1007\/11733492_13","volume-title":"Knowledge Discovery in Inductive Databases","author":"J Struyf","year":"2006","unstructured":"Struyf, J., D\u017eeroski, S.: Constraint based induction of multi-objective regression trees. In: Bonchi, F., Boulicaut, J.-F. (eds.) KDID 2005. LNCS, vol. 3933, pp. 222\u2013233. Springer, Heidelberg (2006). https:\/\/doi.org\/10.1007\/11733492_13"},{"issue":"16","key":"16_CR21","doi-asserted-by":"publisher","first-page":"1783","DOI":"10.1016\/S1474-6670(17)35018-8","volume":"36","author":"E Vazquez","year":"2003","unstructured":"Vazquez, E., Walter, E.: Multi-output suppport vector regression. IFAC Proc. Vol. 36(16), 1783\u20131788 (2003)","journal-title":"IFAC Proc. Vol."},{"key":"16_CR22","unstructured":"Zhang, M.L., Zhou, Z.H.: A k-nearest neighbor based algorithm for multi-label classification. In: International Conference on Granular Computing, pp. 718\u2013721. IEEE (2005)"}],"container-title":["Lecture Notes in Computer Science","Discovery Science"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-33778-0_16","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,7]],"date-time":"2024-03-07T15:33:21Z","timestamp":1709825601000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-33778-0_16"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030337773","9783030337780"],"references-count":22,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-33778-0_16","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"16 October 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"DS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Discovery Science","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Split","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Croatia","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"28 October 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"30 October 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"dis2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/ds2019.irb.hr\/","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":"63","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":"21","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":"19","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":"33% - 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":"4","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)"}}]}}