{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,8]],"date-time":"2025-09-08T06:15:06Z","timestamp":1757312106458,"version":"3.41.0"},"publisher-location":"Cham","reference-count":27,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319471747"},{"type":"electronic","value":"9783319471754"}],"license":[{"start":{"date-parts":[[2016,1,1]],"date-time":"2016-01-01T00:00:00Z","timestamp":1451606400000},"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":[[2016]]},"DOI":"10.1007\/978-3-319-47175-4_9","type":"book-chapter","created":{"date-parts":[[2016,11,4]],"date-time":"2016-11-04T04:01:19Z","timestamp":1478232079000},"page":"135-149","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["An Investigation on Online Versus Batch Learning in Predicting User Behaviour"],"prefix":"10.1007","author":[{"given":"Nikolay","family":"Burlutskiy","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Miltos","family":"Petridis","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Andrew","family":"Fish","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Alexey","family":"Chernov","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nour","family":"Ali","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2016,11,5]]},"reference":[{"key":"9_CR1","doi-asserted-by":"crossref","unstructured":"Choi, S., Kim, E., Oh, S.: Human behavior prediction for smart homes using deep learning. In: 2013 IEEE RO-MAN, pp. 173\u2013179 (2013)","DOI":"10.1109\/ROMAN.2013.6628440"},{"key":"9_CR2","unstructured":"Nazerfard E., Cook, D.: Using Bayesian Networks for Daily Activity Prediction (2013)"},{"key":"9_CR3","doi-asserted-by":"crossref","unstructured":"Burlutskiy, N., Petridis, M., Fish, A., Ali, N.: Prediction of users\u2019 response time in Q&A communities. In: ICMLA\u201915, International Conference on Machine Learning and Applications (2015)","DOI":"10.1109\/ICMLA.2015.190"},{"key":"9_CR4","unstructured":"Weerkamp, W., De\u00a0Rijke, M.: Activity prediction: a twitter-based exploration. In: Proceedings of TAIA\u201912 (2012)"},{"key":"9_CR5","unstructured":"Zheng, B., Thompson, K., Lam, S.S., Yoon, S.W., Gnanasambandam, N.: Customers behavior prediction using artificial neural network. In: Industrial and Systems Engineering Research Conference (ISERC), pp. 700\u2013709. Institute of Industrial Engineerings (2013)"},{"issue":"10","key":"9_CR6","doi-asserted-by":"publisher","first-page":"754","DOI":"10.1049\/el.2014.0095","volume":"50","author":"I Loumiotis","year":"2014","unstructured":"Loumiotis, I., Adamopoulou, E., Demestichas, K., Theologou, M.: On trade-off between computational efficiency and prediction accuracy in bandwidth traffic estimation. Electron. Lett. 50(10), 754\u2013756 (2014)","journal-title":"Electron. Lett."},{"issue":"6","key":"9_CR7","doi-asserted-by":"publisher","first-page":"1411","DOI":"10.1109\/TNN.2006.880583","volume":"17","author":"NY Liang","year":"2006","unstructured":"Liang, N.Y., Huang, G.B., Saratchandran, P., Sundararajan, N.: A fast and accurate online sequential learning algorithm for feedforward networks. IEEE Trans. Neural Netw. 17(6), 1411\u20131423 (2006)","journal-title":"IEEE Trans. Neural Netw."},{"key":"9_CR8","unstructured":"Sadilek, A., Krumm, J.: Predicting long-term human mobility. In: AAAI, Far out (2012)"},{"key":"9_CR9","doi-asserted-by":"crossref","unstructured":"Zhu, Y., Zhong, E., Pan, S.J., Wang, X., Zhou, M., Yang, Q.: Predicting user activity level in social networks. In: Proceedings of the 22Nd ACM International Conference on Information and Knowledge Management, CIKM \u201913, pp. 159\u2013168, New York, NY, USA. ACM (2013)","DOI":"10.1145\/2505515.2505518"},{"key":"9_CR10","doi-asserted-by":"crossref","unstructured":"Radinsky, K., Svore, K., Dumais, S., Teevan, J., Bocharov, A., Horvitz, E.: Modeling and predicting behavioral dynamics on the web. In: Proceedings of the 21st International Conference on World Wide Web, WWW \u201912, pp. 599\u2013608, New York, NY, USA. ACM (2012)","DOI":"10.1145\/2187836.2187918"},{"key":"9_CR11","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"499","DOI":"10.1007\/978-3-642-40994-3_32","volume-title":"Machine Learning and Knowledge Discovery in Databases","author":"G Dror","year":"2013","unstructured":"Dror, G., Maarek, Y., Szpektor, I.: Will my question be answered? predicting \u201cquestion answerability\u201d in community question-answering sites. In: Blockeel, H. (ed.) Machine Learning and Knowledge Discovery in Databases. Lecture Notes in Computer Science, vol. 8190, pp. 499\u2013514. Springer, Berlin Heidelberg (2013)"},{"key":"9_CR12","doi-asserted-by":"crossref","unstructured":"Yang, L., Bao, S., Lin, Q., Wu, X., Han, D., Su, Z., Yu, Y.: Analyzing and predicting not-answered questions in community-based question answering services. In: Burgard, W. (ed.) AAAI. AAAI Press (2011)","DOI":"10.1609\/aaai.v25i1.8082"},{"issue":"3","key":"9_CR13","doi-asserted-by":"publisher","first-page":"203","DOI":"10.1023\/A:1007608224229","volume":"40","author":"TS Lim","year":"2000","unstructured":"Lim, T.S., Loh, W.Y., Shih, Y.S.: A comparison of prediction accuracy, complexity, and training time of thirty-three old and new classification algorithms. Mach. Learn. 40(3), 203\u2013228 (2000)","journal-title":"Mach. Learn."},{"key":"9_CR14","doi-asserted-by":"crossref","unstructured":"Anderson, A., Huttenlocher, D., Kleinberg, J., Leskovec, J.: Discovering value from community activity on focused question answering sites: a case study of stack overflow. In: Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 850\u2013858, New York, USA. ACM (2012)","DOI":"10.1145\/2339530.2339665"},{"key":"9_CR15","doi-asserted-by":"crossref","unstructured":"Asaduzzaman, M., Mashiyat, A.S., Roy, C.K., Schneider, K.A.: Answering questions about unanswered questions of stack overflow. In: Proceedings of the 10th Working Conference on Mining Software Repositories, pp. 97\u2013100. Piscataway, NJ, USA (2013)","DOI":"10.1109\/MSR.2013.6624015"},{"key":"9_CR16","doi-asserted-by":"crossref","unstructured":"Bhat, V., Gokhale, A., Jadhav, R., Pudipeddi, J., Akoglu, L.: Min(e)d your tags: analysis of question response time in stack overflow. In: 2014 IEEE\/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), pp. 328\u2013335 (2014)","DOI":"10.1109\/ASONAM.2014.6921605"},{"key":"9_CR17","unstructured":"Lezina, C.G.E., Kuznetsov, A.M.: Predict Closed Questions on Stack Overflow (2012)"},{"key":"9_CR18","unstructured":"Dekel, O.: From online to batch learning with cutoff-averaging. In: Koller, D., Schuurmans, D., Bengio, Y., Bottou, L. (eds.) Advances in Neural Information Processing Systems 21, pp. 377\u2013384. Curran Associates, Inc. (2009)"},{"key":"9_CR19","first-page":"495","volume":"15","author":"SC Hoi","year":"2014","unstructured":"Hoi, S.C., Wang, J., Zhao, P.: Libol: a library for online learning algorithms. J. Mach. Learn. Res. 15, 495\u2013499 (2014)","journal-title":"J. Mach. Learn. Res."},{"key":"9_CR20","first-page":"551","volume":"7","author":"K Crammer","year":"2006","unstructured":"Crammer, K., Dekel, O., Keshet, J., Shalev-Shwartz, S., Singer, Y.: Online passive-aggressive algorithms. J. Mach. Learn. Res. 7, 551\u2013585 (2006)","journal-title":"J. Mach. Learn. Res."},{"issue":"8","key":"9_CR21","doi-asserted-by":"publisher","first-page":"1553","DOI":"10.1109\/TNNLS.2013.2293637","volume":"25","author":"M Bianchini","year":"2014","unstructured":"Bianchini, M., Scarselli, F.: On the complexity of neural network classifiers: a comparison between shallow and deep achitectures. IEEE Trans. Neural Netw. Learn. Syst. 25(8), 1553\u20131565 (2014)","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"issue":"5","key":"9_CR22","doi-asserted-by":"publisher","first-page":"1155","DOI":"10.1162\/neco.2007.19.5.1155","volume":"19","author":"O Chapelle","year":"2007","unstructured":"Chapelle, O.: Training a support vector machine in the primal. Neural Comput. 19(5), 1155\u20131178 (2007)","journal-title":"Neural Comput."},{"key":"9_CR23","unstructured":"Minka, T.P.: A Comparison of Numerical Optimizers for Logistic Regression. Technical report (2003)"},{"key":"9_CR24","unstructured":"Su, J., Zhang, H.: A fast decision tree learning algorithm. In: Proceedings of the 21st National Conference on Artificial Intelligence\u2014Volume 1, AAAI\u201906, pp. 500\u2013505. AAAI Press (2006)"},{"key":"9_CR25","doi-asserted-by":"crossref","first-page":"177","DOI":"10.1007\/978-3-7908-2604-3_16","volume-title":"Proceedings of COMPSTAT'2010","author":"L\u00e9on Bottou","year":"2010","unstructured":"Bottou, L.: Proceedings of COMPSTAT\u20192010: 19th International Conference on Computational StatisticsParis France, August 22\u201327, 2010 Keynote, Invited and Contributed Papers, chapter Large-Scale Machine Learning with Stochastic Gradient Descent, pp. 177\u2013186. Physica-Verlag HD, Heidelberg (2010)"},{"key":"9_CR26","unstructured":"Mohri, M., Rostamizadeh, A., Talwalkar, A.: Foundations of Machine Learning. The MIT Press (2012)"},{"key":"9_CR27","unstructured":"Cai, Y., Chakravarthy, S.: Answer quality prediction in Q&A social networks by leveraging temporal features. IJNGC 4(1) (2013)"}],"container-title":["Research and Development in Intelligent Systems XXXIII"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-47175-4_9","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,12]],"date-time":"2025-06-12T00:03:14Z","timestamp":1749686594000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-319-47175-4_9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016]]},"ISBN":["9783319471747","9783319471754"],"references-count":27,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-47175-4_9","relation":{},"subject":[],"published":{"date-parts":[[2016]]},"assertion":[{"value":"5 November 2016","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}}]}}