{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T15:30:50Z","timestamp":1743089450709,"version":"3.40.3"},"publisher-location":"Cham","reference-count":27,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030594121"},{"type":"electronic","value":"9783030594138"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","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":[[2020]]},"DOI":"10.1007\/978-3-030-59413-8_11","type":"book-chapter","created":{"date-parts":[[2020,9,21]],"date-time":"2020-09-21T16:54:52Z","timestamp":1600707292000},"page":"131-145","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Maintenance Method of Logistics Vehicle Based on Data Science and Quality"],"prefix":"10.1007","author":[{"given":"Yu Ping","family":"Peng","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shih Chieh","family":"Cheng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yu Tsung","family":"Huang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jun","family":"Der Leu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2020,9,22]]},"reference":[{"key":"11_CR1","doi-asserted-by":"publisher","first-page":"206","DOI":"10.1007\/978-3-642-04898-2_161","volume-title":"International Encyclopedia of Statistical Science","author":"A Agresti","year":"2011","unstructured":"Agresti, A., Kateri, M.: Categorical data analysis. In: Lovric, M. (ed.) International Encyclopedia of Statistical Science, pp. 206\u2013208. Springer, Heidelberg (2011). https:\/\/doi.org\/10.1007\/978-3-642-04898-2_161"},{"key":"11_CR2","unstructured":"Aebi, D., Perrochon, L.: Towards improving data quality. In: Sarda, N.L. (ed.) Proceedings of the International Conference on Information Systems and Management of Data, Delhi, pp. 273\u2013281 (1993)"},{"key":"11_CR3","volume-title":"Data Mining Technique: For Marketing, Sales, and Customer Relationship Management","author":"MJ Berry","year":"1997","unstructured":"Berry, M.J., Linoff, G.: Data Mining Technique: For Marketing, Sales, and Customer Relationship Management. Wily Press, New York (1997)"},{"issue":"3","key":"11_CR4","doi-asserted-by":"publisher","first-page":"211","DOI":"10.1016\/S0378-7206(01)00091-X","volume":"39","author":"I Bose","year":"2001","unstructured":"Bose, I., Mahapatra, R.K.: Business data mining-a machine learning perspective. Inf. Manag. 39(3), 211\u2013225 (2001)","journal-title":"Inf. Manag."},{"key":"11_CR5","doi-asserted-by":"publisher","first-page":"173","DOI":"10.1016\/j.compind.2018.04.019","volume":"100","author":"A Bousdekis","year":"2018","unstructured":"Bousdekis, A., Papageorgiou, N., Magoutas, B., Apostolou, D., Mentzas, G.: Enabling condition-based maintenance decisions with proactive event-driven computing. Comput. Ind. 100, 173\u2013183 (2018)","journal-title":"Comput. Ind."},{"issue":"11","key":"11_CR6","doi-asserted-by":"publisher","first-page":"42","DOI":"10.1145\/240455.240468","volume":"39","author":"RJ Brachman","year":"1996","unstructured":"Brachman, R.J., Khabaza, T., Kloesgen, W., Piatetsky-Shapuro, G., Simoudis, E.: Mining business database. Commun. ACM 39(11), 42\u201348 (1996)","journal-title":"Commun. ACM"},{"key":"11_CR7","doi-asserted-by":"publisher","first-page":"46","DOI":"10.1016\/j.ergon.2015.03.009","volume":"48","author":"MC Chen","year":"2015","unstructured":"Chen, M.C., Hsu, C.L., Chang, K.C., Chou, M.C.: Applying Kansei engineering to design logistics services\u2013a case of home delivery service. Int. J. Ind. Ergon. 48, 46\u201359 (2015)","journal-title":"Int. J. Ind. Ergon."},{"issue":"7","key":"11_CR8","first-page":"29","volume":"7","author":"LD Chernatony","year":"1989","unstructured":"Chernatony, L.D., McWilliam, G.: Branding terminology the real debate. Mark. Intell. Plan. 7(7), 29\u201332 (1989)","journal-title":"Mark. Intell. Plan."},{"key":"11_CR9","doi-asserted-by":"publisher","first-page":"201","DOI":"10.1016\/j.rser.2015.02.052","volume":"46","author":"H De Faria","year":"2015","unstructured":"De Faria, H., Costa, J.G.S., Olivas, J.L.M.: A review of monitoring methods for predictive maintenance of electric power transformers based on dissolved gas analysis. Renew. Sustain. Energy Rev. 46, 201\u2013209 (2015)","journal-title":"Renew. Sustain. Energy Rev."},{"issue":"4","key":"11_CR10","doi-asserted-by":"publisher","first-page":"1937","DOI":"10.1016\/j.eswa.2013.08.089","volume":"41","author":"DM Farid","year":"2014","unstructured":"Farid, D.M., Zhang, L., Rahman, C.M., Hossain, M.A., Strachan, R.: Hybrid decision tree and na\u00efve Bayes classifiers for multi-class classification tasks. Expert Syst. Appl. 41(4), 1937\u20131946 (2014)","journal-title":"Expert Syst. Appl."},{"key":"11_CR11","first-page":"37","volume":"17","author":"U Fayyad","year":"1996","unstructured":"Fayyad, U., Poatersky-Shapiro, G., Symth, P.: From data mining to knowledge discovery in databases. AI Mag. 17, 37\u201354 (1996)","journal-title":"AI Mag."},{"issue":"12","key":"11_CR12","doi-asserted-by":"publisher","first-page":"1371","DOI":"10.1016\/j.ifacol.2016.07.755","volume":"49","author":"M Ghajargar","year":"2016","unstructured":"Ghajargar, M., Zenezini, G., Montanaro, T.: Home delivery services: innovations and emerging needs. IFAC-PapersOnLine 49(12), 1371\u20131376 (2016)","journal-title":"IFAC-PapersOnLine"},{"key":"11_CR13","volume-title":"Data mining: concepts and techniques","author":"J Han","year":"2011","unstructured":"Han, J., Pei, J., Kamber, M.: Data mining: concepts and techniques. Elsevier, Amsterdam (2011)"},{"key":"11_CR14","unstructured":"Galhardas, H., Florescu, D., Shasha, D., Simon, E., Saita, C.A.: Declarative data cleaning: language model and algorithms. In: Proceedings of the 27th International Conference on Very Large Databases (VLDB 2001), pp. 371\u2013380 (2001)"},{"key":"11_CR15","unstructured":"Jim, W.: The butterfly effect of data quality. In: The Fifth MIT Information Quality Industry Symposium (2011)"},{"key":"11_CR16","doi-asserted-by":"publisher","DOI":"10.1007\/1-4020-2265-4","volume-title":"Handbook of Micrometeorology. A Guide for Surface Lux Measurement and Analysis","author":"X Lee","year":"2005","unstructured":"Lee, X., Massman, W., Law, B.: Handbook of Micrometeorology. A Guide for Surface Lux Measurement and Analysis. Springer, Dordrecht (2005). https:\/\/doi.org\/10.1007\/1-4020-2265-4"},{"issue":"2","key":"11_CR17","first-page":"1","volume":"14","author":"L Cai","year":"2015","unstructured":"Cai, L., Zhu, Y.: The challenges of data quality and data quality assessment in the big data era. Data Sci. J. 14(2), 1\u201310 (2015)","journal-title":"Data Sci. J."},{"key":"11_CR18","unstructured":"Ohbyung, K., Namyeon, L., Bongsik, S.: Data quality management, data usage experience and acquisition intention of big data analytics (2014)"},{"key":"11_CR19","unstructured":"Schmid, H.: Probabilistic part-ofispeech tagging using decision trees. In: New Methods in Language Processing, p. 154. Routledge (2013)"},{"issue":"1","key":"11_CR20","doi-asserted-by":"publisher","first-page":"127","DOI":"10.1016\/S0167-9236(00)00123-8","volume":"31","author":"MJ Shaw","year":"2001","unstructured":"Shaw, M.J., Subramaniam, C., Tan, G.W., Welge, M.E.: Knowledge management and data mining for marking. Decis. Support Syst. 31(1), 127\u2013137 (2001)","journal-title":"Decis. Support Syst."},{"issue":"2","key":"11_CR21","first-page":"119","volume":"2","author":"JH Shin","year":"2015","unstructured":"Shin, J.H., Jun, H.B.: On condition based maintenance policy. J. Comput. Des. Eng. 2(2), 119\u2013127 (2015)","journal-title":"J. Comput. Des. Eng."},{"key":"11_CR22","doi-asserted-by":"crossref","unstructured":"Taleb, I., Dssouli, R., Mohamed, A.S.: Big data pre- processing: a quality framework. In: 2015 IEEE International Congress on, pp. 191\u2013198 (2015)","DOI":"10.1109\/BigDataCongress.2015.35"},{"key":"11_CR23","doi-asserted-by":"publisher","first-page":"359","DOI":"10.1016\/j.jtrangeo.2016.06.021","volume":"54","author":"N Tilahun","year":"2016","unstructured":"Tilahun, N., Thakuriah, P.V., Li, M., Keita, Y.: Transit use and the work commute: analyzing the role of last mile issues. J. Transp. Geogr. 54, 359\u2013368 (2016)","journal-title":"J. Transp. Geogr."},{"issue":"3","key":"11_CR24","doi-asserted-by":"publisher","first-page":"299","DOI":"10.1016\/S0925-5273(01)00156-6","volume":"77","author":"G Waeyenbergh","year":"2002","unstructured":"Waeyenbergh, G., Pintelon, L.: A framework for maintenance concept development. Int. J. Prod. Econ. 77(3), 299\u2013313 (2002)","journal-title":"Int. J. Prod. Econ."},{"key":"11_CR25","first-page":"50","volume":"12","author":"YF Wang","year":"2007","unstructured":"Wang, Y.F., Zhang, C.Z., Zhang, B.B., et al.: A survey of data cleaning. New Technol. Libr. Inform. Serv. 12, 50\u201356 (2007)","journal-title":"New Technol. Libr. Inform. Serv."},{"issue":"1","key":"11_CR26","first-page":"111","volume":"21","author":"IC Wu","year":"2014","unstructured":"Wu, I.C., Li, R.J., Chen, T.L.: A vehicular maintenance and replacement decision support system in distribution services: a data mining technique. J. Manag. Syst. 21(1), 111\u2013137 (2014)","journal-title":"J. Manag. Syst."},{"key":"11_CR27","doi-asserted-by":"publisher","first-page":"102","DOI":"10.1016\/j.cie.2016.05.007","volume":"98","author":"Z Zheng","year":"2016","unstructured":"Zheng, Z., Zhou, W., Zheng, Y., Wu, Y.: Optimal maintenance policy for a system with preventive repair and two types of failures. Comput. Ind. Eng. 98, 102\u2013112 (2016)","journal-title":"Comput. Ind. Eng."}],"container-title":["Lecture Notes in Computer Science","Database Systems for Advanced Applications. DASFAA 2020 International Workshops"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-59413-8_11","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,12]],"date-time":"2024-03-12T13:25:25Z","timestamp":1710249925000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-59413-8_11"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030594121","9783030594138"],"references-count":27,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-59413-8_11","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"22 September 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"DASFAA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Database Systems for Advanced Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Jeju","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Korea (Republic of)","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2020","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"24 September 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27 September 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"25","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"dasfaa2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/db.pknu.ac.kr\/dasfaa2020\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-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":"487","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":"119","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":"24% - 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":"3.11","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":"6.81","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":"15 demo papers and 4 industrial papers","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)"}}]}}