{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,6]],"date-time":"2026-04-06T20:17:37Z","timestamp":1775506657388,"version":"3.50.1"},"publisher-location":"Cham","reference-count":17,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783319623948","type":"print"},{"value":"9783319623955","type":"electronic"}],"license":[{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"content-version":"unspecified","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":[[2017]]},"DOI":"10.1007\/978-3-319-62395-5_13","type":"book-chapter","created":{"date-parts":[[2017,7,6]],"date-time":"2017-07-06T00:52:59Z","timestamp":1499302379000},"page":"173-182","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Novelty Detection for Location Prediction Problems Using Boosting Trees"],"prefix":"10.1007","author":[{"given":"Khaled","family":"Yasser","sequence":"first","affiliation":[]},{"given":"Elsayed","family":"Hemayed","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2017,7,7]]},"reference":[{"issue":"1","key":"13_CR1","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/2629557","volume":"6","author":"D Lian","year":"2015","unstructured":"Lian, D., Xie, X., Zheng, V.W., Yuan, N.J., Zhang, F., Chen, E.: CEPR: a collaborative exploration and periodically returning model for location prediction. ACM Trans. Intell. Syst. Technol. 6(1), 1\u201327 (2015)","journal-title":"ACM Trans. Intell. Syst. Technol."},{"key":"13_CR2","doi-asserted-by":"crossref","unstructured":"Cho, E., Myers, S.A., Leskovec, J.: Friendship and mobility: user movement in location-based social networks. In: ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (2011)","DOI":"10.1145\/2020408.2020579"},{"key":"13_CR3","doi-asserted-by":"crossref","unstructured":"Zheng, Y.: Mining interesting locations and travel sequences from GPS trajectories. In: WWW, Madrid (2009)","DOI":"10.1145\/1526709.1526816"},{"key":"13_CR4","unstructured":"Zheng, Y.: GeoLife: a collaborative social networking service among user, location and trajectory. In: UbiComp, Seoul, Korea (2008)"},{"key":"13_CR5","first-page":"32","volume":"33","author":"Y Zheng","year":"2010","unstructured":"Zheng, Y.: GeoLife: a collaborative social networking service among user, location and trajectory. IEEE Data Eng. Bull. 33, 32\u201340 (2010)","journal-title":"IEEE Data Eng. Bull."},{"key":"13_CR6","doi-asserted-by":"crossref","unstructured":"Chen, T., Guestrin, C.: XGBoost: a scalable tree boosting system. In: Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining - KDD 2016 (2016)","DOI":"10.1145\/2939672.2939785"},{"key":"13_CR7","unstructured":"Distributed machine learning toolkit. http:\/\/www.dmtk.io\/. Accessed 10 Jan 2017"},{"key":"13_CR8","doi-asserted-by":"crossref","unstructured":"Pan, J.-S., Polycarpou, M.M., Wo\u017aniak, M., Carvalho, A.C.P.L.F., Quinti\u00e1n, H., Corchado, E. (eds.) Hybrid Artificial Intelligent Systems. Springer, Heidelberg (2013)","DOI":"10.1007\/978-3-642-40846-5"},{"key":"13_CR9","doi-asserted-by":"publisher","first-page":"98","DOI":"10.1016\/j.neucom.2015.02.079","volume":"176","author":"S-B Cho","year":"2016","unstructured":"Cho, S.-B.: Exploiting machine learning techniques for location recognition and prediction with smartphone logs. Neurocomputing 176, 98\u2013106 (2016)","journal-title":"Neurocomputing"},{"issue":"5","key":"13_CR10","doi-asserted-by":"publisher","first-page":"275","DOI":"10.1007\/s00779-003-0240-0","volume":"7","author":"D Ashbrook","year":"2003","unstructured":"Ashbrook, D., Starner, T.: Using GPS to learn significant locations and predict movement across multiple users. Pers. Ubiquit. Comput. 7(5), 275\u2013286 (2003)","journal-title":"Pers. Ubiquit. Comput."},{"key":"13_CR11","doi-asserted-by":"crossref","unstructured":"Gambs, S.: Next place prediction using mobility Markov chains. In: Eurosys\u2019 MPM (2012)","DOI":"10.1145\/2181196.2181199"},{"key":"13_CR12","doi-asserted-by":"crossref","unstructured":"Mathew, W., Raposo, R., Martins, B.: Predicting future locations with hidden Markov models. In: Proceedings of the 2012 ACM Conference on Ubiquitous Computing - UbiComp 2012 (2012)","DOI":"10.1145\/2370216.2370421"},{"key":"13_CR13","doi-asserted-by":"crossref","unstructured":"Wang, Y., Yuan, N.J., Lian, D., Xu, L., Xie, X., Chen, E., Rui, Y.: Regularity and conformity: location prediction using heterogeneous mobility data. In: Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining - KDD 2015 (2015)","DOI":"10.1145\/2783258.2783350"},{"issue":"1","key":"13_CR14","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/1921591.1921596","volume":"5","author":"Y Zheng","year":"2011","unstructured":"Zheng, Y., Zhang, L., Ma, Z., Xie, X., Ma, W.-Y.: Recommending friends and locations based on individual location history. ACM Trans. Web 5(1), 1\u201344 (2011)","journal-title":"ACM Trans. Web"},{"key":"13_CR15","unstructured":"Haversine formula. Wikipedia https:\/\/en.wikipedia.org\/wiki\/Haversine_formula. Accessed 17 Jan 2017"},{"issue":"6","key":"13_CR16","first-page":"1","volume":"3","author":"A Ram","year":"2010","unstructured":"Ram, A., Jalal, S., Jalal, A.S., Kumar, M.: A density based algorithm for discovering density varied clusters in large spatial databases. Int. J. Comput. Appl. 3(6), 1\u20134 (2010)","journal-title":"Int. J. Comput. Appl."},{"key":"13_CR17","first-page":"281","volume":"13","author":"YB James Bergstra","year":"2012","unstructured":"James Bergstra, Y.B.: Random search for hyper-parameter optimization. J. Mach. Learn. Res. 13, 281\u2013305 (2012)","journal-title":"J. Mach. Learn. Res."}],"container-title":["Lecture Notes in Computer Science","Computational Science and Its Applications \u2013 ICCSA 2017"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-62395-5_13","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,13]],"date-time":"2024-03-13T10:55:13Z","timestamp":1710327313000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-319-62395-5_13"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"ISBN":["9783319623948","9783319623955"],"references-count":17,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-62395-5_13","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017]]},"assertion":[{"value":"7 July 2017","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICCSA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Computational Science and Its Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Trieste","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Italy","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2017","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"3 July 2017","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"6 July 2017","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":"iccsa2017","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.iccsa.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}