{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,14]],"date-time":"2026-03-14T21:39:31Z","timestamp":1773524371798,"version":"3.50.1"},"publisher-location":"Cham","reference-count":11,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783030348847","type":"print"},{"value":"9783030348854","type":"electronic"}],"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\/978-3-030-34885-4_25","type":"book-chapter","created":{"date-parts":[[2019,12,9]],"date-time":"2019-12-09T00:02:46Z","timestamp":1575849766000},"page":"325-335","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["A Generic Model for End State Prediction of Business Processes Towards Target Compliance"],"prefix":"10.1007","author":[{"given":"Naveed","family":"Khan","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zulfiqar","family":"Ali","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Aftab","family":"Ali","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sally","family":"McClean","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Darryl","family":"Charles","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Paul","family":"Taylor","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Detlef","family":"Nauck","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2019,11,19]]},"reference":[{"key":"25_CR1","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1155\/2013\/507984","volume":"2013","author":"W Aalst","year":"2013","unstructured":"Aalst, W.: Business process management: a comprehensive survey. ISRN Softw. Eng. 2013, 1\u201337 (2013)","journal-title":"ISRN Softw. Eng."},{"issue":"1","key":"25_CR2","doi-asserted-by":"publisher","first-page":"113","DOI":"10.1016\/j.jvoice.2016.01.014","volume":"31","author":"A Al-Nasheri","year":"2017","unstructured":"Al-Nasheri, A., et al.: An investigation of multidimensional voice program parameters in three different databases for voice pathology detection and classification. J. Voice 31(1), 113\u2013e9 (2017)","journal-title":"J. Voice"},{"issue":"16","key":"25_CR3","first-page":"4102","volume":"12","author":"SA Alasadi","year":"2017","unstructured":"Alasadi, S.A., Bhaya, W.S.: Review of data preprocessing techniques in data mining. J. Eng. Appl. Sci. 12(16), 4102\u20134107 (2017)","journal-title":"J. Eng. Appl. Sci."},{"key":"25_CR4","doi-asserted-by":"crossref","unstructured":"Aparna, U., Paul, S.: Feature selection and extraction in data mining. In: 2016 Online International Conference on Green Engineering and Technologies (IC-GET), pp. 1\u20133. IEEE (2016)","DOI":"10.1109\/GET.2016.7916845"},{"key":"25_CR5","doi-asserted-by":"publisher","DOI":"10.4135\/9781412983433","volume-title":"Applied Logistic Regression Analysis","author":"S Menard","year":"2002","unstructured":"Menard, S.: Applied Logistic Regression Analysis, vol. 106. Sage, Thousand Oaks (2002)"},{"key":"25_CR6","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1155\/2017\/8783751","volume":"2017","author":"TA Mesallam","year":"2017","unstructured":"Mesallam, T.A., et al.: Development of the Arabic voice pathology database and its evaluation by using speech features and machine learning algorithms. J. Healthc. Eng. 2017, 1\u201313 (2017)","journal-title":"J. Healthc. Eng."},{"key":"25_CR7","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"237","DOI":"10.1007\/978-3-030-04191-5_22","volume-title":"Artificial Intelligence XXXV","author":"PN Taylor","year":"2018","unstructured":"Taylor, P.N., Kiss, S.: Rule-mining and clustering in business process analysis. In: Bramer, M., Petridis, M. (eds.) SGAI 2018. LNCS (LNAI), vol. 11311, pp. 237\u2013249. Springer, Cham (2018). \nhttps:\/\/doi.org\/10.1007\/978-3-030-04191-5_22"},{"key":"25_CR8","volume-title":"The Complete Business Process Handbook: Body of Knowledge from Process Modeling to BPM","author":"M Rosing Von","year":"2014","unstructured":"Von Rosing, M., Von Scheel, H., Scheer, A.W.: The Complete Business Process Handbook: Body of Knowledge from Process Modeling to BPM, vol. 1. Morgan Kaufmann, Boston (2014)"},{"key":"25_CR9","doi-asserted-by":"publisher","DOI":"10.1007\/b95439","volume-title":"Support Vector Machines: Theory and Applications","author":"L Wang","year":"2005","unstructured":"Wang, L.: Support Vector Machines: Theory and Applications, vol. 177. Springer, Heidelberg (2005). \nhttps:\/\/doi.org\/10.1007\/b95439"},{"key":"25_CR10","volume-title":"Data Mining: Practical Machine Learning Tools and Techniques","author":"IH Witten","year":"2016","unstructured":"Witten, I.H., Frank, E., Hall, M.A., Pal, C.J.: Data Mining: Practical Machine Learning Tools and Techniques. Morgan Kaufmann, San Francisco (2016)"},{"issue":"2","key":"25_CR11","first-page":"3","volume":"1","author":"H Zhang","year":"2004","unstructured":"Zhang, H.: The optimality of naive bayes. Am. Assoc. Artif. Intell. 1(2), 3 (2004)","journal-title":"Am. Assoc. Artif. Intell."}],"container-title":["Lecture Notes in Computer Science","Artificial Intelligence XXXVI"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-34885-4_25","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,4,22]],"date-time":"2020-04-22T10:06:22Z","timestamp":1587549982000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-34885-4_25"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030348847","9783030348854"],"references-count":11,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-34885-4_25","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"19 November 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"SGAI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Innovative Techniques and Applications of Artificial Intelligence","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Cambridge","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"United Kingdom","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":"17 December 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"19 December 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"39","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"sgai2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/bcs-sgai.org\/ai2019\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}