{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,9]],"date-time":"2024-09-09T12:01:12Z","timestamp":1725883272129},"publisher-location":"Cham","reference-count":24,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319565347"},{"type":"electronic","value":"9783319565354"}],"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":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017]]},"DOI":"10.1007\/978-3-319-56535-4_14","type":"book-chapter","created":{"date-parts":[[2017,3,27]],"date-time":"2017-03-27T17:34:36Z","timestamp":1490636076000},"page":"133-143","source":"Crossref","is-referenced-by-count":1,"title":["Artificial Neural Network for Incremental Data Mining"],"prefix":"10.1007","author":[{"given":"Lydia Nahla","family":"Driff","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Habiba","family":"Drias","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2017,3,28]]},"reference":[{"key":"14_CR1","doi-asserted-by":"crossref","unstructured":"\u017bbikowski, R, Dzieli\u0144ski, A.: Neural approximation: a control perspective. In: Hunt, K.J., Irwin, G.R., Warwick, K.: Neural Network Engineering in Dynamic Control Systems 1995, pp. 1\u201325. Springer, London","DOI":"10.1007\/978-1-4471-3066-6_1"},{"key":"14_CR2","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"361","DOI":"10.1007\/978-3-319-46128-1_23","volume-title":"Machine Learning and Knowledge Discovery in Databases","author":"B Cule","year":"2016","unstructured":"Cule, B., Feremans, L., Goethals, B.: Efficient discovery of sets of co-occurring items in event sequences. In: Frasconi, P., Landwehr, N., Manco, G., Vreeken, J. (eds.) ECML PKDD 2016. LNCS (LNAI), vol. 9851, pp. 361\u2013377. Springer, Cham (2016). doi: 10.1007\/978-3-319-46128-1_23"},{"key":"14_CR3","doi-asserted-by":"crossref","unstructured":"Driff, L.N., Drias, H.: An efficient incremental mining algorithm for dynamic databases. In: International Conference Mining Intelligence and Knowledge Exploration (MIKE) (2016)","DOI":"10.1007\/978-3-319-58130-9_1"},{"key":"14_CR4","unstructured":"Agrawal, R., Srikant, R.: Fast algorithms for mining association rules. In: Proceedings of 20th International Conference Very Large Data Bases, VLDB 1994, vol. 1215, September 12, pp. 487\u2013499 (1994)"},{"key":"14_CR5","first-page":"381","volume":"39","author":"X Ni","year":"2008","unstructured":"Ni, X.: Research of data mining based on neural networks. World Acad. Sci. Eng. Technol. 39, 381\u2013384 (2008)","journal-title":"World Acad. Sci. Eng. Technol."},{"key":"14_CR6","doi-asserted-by":"crossref","unstructured":"Pietruczuk, L., Rutkowski, L., Jaworski, M., Duda, P.: A method for automatic adjustment of ensemble size in stream data mining. In: 2016 International Joint Conference on Neural Networks (IJCNN), November 3, pp. 9\u201315. IEEE (2016)","DOI":"10.1109\/IJCNN.2016.7727174"},{"key":"14_CR7","unstructured":"Incremental Email classification and suggestion using simple term statistic"},{"issue":"169","key":"14_CR8","doi-asserted-by":"crossref","first-page":"89","DOI":"10.1016\/j.neucom.2015.02.084","volume":"2","author":"A Hebboul","year":"2015","unstructured":"Hebboul, A., Hachouf, F., Boulemnadjel, A.: A new incremental neural network for simultaneous clustering and classification. Neurocomputing 2(169), 89\u201399 (2015)","journal-title":"Neurocomputing"},{"key":"14_CR9","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/978-3-642-17313-4_1","volume-title":"Advanced Data Mining and Applications","author":"QL Zhao","year":"2010","unstructured":"Zhao, Q.L., Jiang, Y.H., Xu, M.: Incremental learning by heterogeneous bagging ensemble. In: Cao, L., Zhong, J., Feng, Y. (eds.) ADMA 2010. LNCS (LNAI), vol. 6441, pp. 1\u201312. Springer, Heidelberg (2010). doi: 10.1007\/978-3-642-17313-4_1"},{"key":"14_CR10","unstructured":"Vesel\u00fd, A.: Neural networks in data mining. Agric. Econ.\u2013Czech 49, 427\u2013431 (2003)"},{"key":"14_CR11","unstructured":"Biryulev, C., Yakymiv, Y., Selemonavichus, A.: Research of artificial neural networks usage in data mining and semantic integration. In: 2010 Proceedings of 6th International Conference on Perspective Technologies and Methods in MEMS Design 2010, April 20 (2010)"},{"key":"14_CR12","unstructured":"Kumar, A.: Artificial neural networks for data mining. IASRI, Library Avenue, Pusa, New Delhi"},{"issue":"6","key":"14_CR13","first-page":"36","volume":"5","author":"Y Singh","year":"2009","unstructured":"Singh, Y., Chauhan, A.S.: Neural networks in data mining. J. Theor. Appl. Inf. Technol. 5(6), 36\u201342 (2009)","journal-title":"J. Theor. Appl. Inf. Technol."},{"key":"14_CR14","doi-asserted-by":"crossref","first-page":"279","DOI":"10.3923\/jai.2011.279.287","volume":"4","author":"A Niknafs","year":"2011","unstructured":"Niknafs, A., Parsa, S.: A neural network approach for updating ranked association rules, based on data envelopment analysis. J. Artif. Intell. 4, 279\u2013287 (2011)","journal-title":"J. Artif. Intell."},{"key":"14_CR15","doi-asserted-by":"crossref","unstructured":"Omlin, C.W., Giles, C.L.: Training second-order recurrent neural networks using hints. In: Proceedings of the 9th International Workshop Machine Learning 2014, June 28, pp. 361\u2013366 (2014)","DOI":"10.1016\/B978-1-55860-247-2.50051-6"},{"key":"14_CR16","unstructured":"Wan, L., Zeiler, M., Zhang, S., Cun, Y.L., Fergus, R.: Regularization of neural networks using dropconnect. In: Proceedings of the 30th International Conference on Machine Learning, ICML 2013, pp. 1058\u20131066 (2013)"},{"key":"14_CR17","unstructured":"Ge, S.S., Hang, C.C., Lee, T.H., Zhang, T.: Stable Adaptive Neural Network Control, March 9. Springer, Heidelberg (2013)"},{"issue":"03","key":"14_CR18","doi-asserted-by":"crossref","first-page":"85","DOI":"10.4236\/jsea.2013.63013","volume":"6","author":"RM Rahman","year":"2013","unstructured":"Rahman, R.M., Afroz, F.: Comparison of various classification techniques using different data mining tools for diabetes diagnosis. J. Softw. Eng. Appl. 6(03), 85 (2013)","journal-title":"J. Softw. Eng. Appl."},{"key":"14_CR19","doi-asserted-by":"crossref","unstructured":"Jeatrakul, P., Wong, K.W.: Comparing the performance of different neural networks for binary classification problems. In: Eighth International Symposium on Natural Language Processing, SNLP 2009, October 20, pp. 111\u2013115. IEEE (2009)","DOI":"10.1109\/SNLP.2009.5340935"},{"key":"14_CR20","unstructured":"Han, J., Pei, J., Kamber, M.: Data mining: concepts and techniques, June 9. Elsevier (2011)"},{"key":"14_CR21","first-page":"1","volume":"2","author":"S Haykin","year":"2004","unstructured":"Haykin, S., Network, N.: A comprehensive foundation. Neural Netw. 2, 1\u20133 (2004)","journal-title":"Neural Netw."},{"key":"14_CR22","doi-asserted-by":"crossref","unstructured":"Specht, D.F.: Probabilistic neural networks for classification, mapping, or associative memory. In: IEEE International Conference on Neural Networks, July 24, pp. 525\u2013532. IEEE (1988)","DOI":"10.1109\/ICNN.1988.23887"},{"key":"14_CR23","unstructured":"Thearling, K.: An introduction to data mining: discovering hidden value in your data warehouse (2005). Accessed 18 August 2000"},{"key":"14_CR24","unstructured":"Zhao, Y.: Association Rule Mining with R. University of Canberra (2016). http:\/\/www.rdatamining.com\/"}],"container-title":["Advances in Intelligent Systems and Computing","Recent Advances in Information Systems and Technologies"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-56535-4_14","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,9,20]],"date-time":"2019-09-20T03:02:48Z","timestamp":1568948568000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-56535-4_14"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"ISBN":["9783319565347","9783319565354"],"references-count":24,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-56535-4_14","relation":{},"ISSN":["2194-5357","2194-5365"],"issn-type":[{"type":"print","value":"2194-5357"},{"type":"electronic","value":"2194-5365"}],"subject":[],"published":{"date-parts":[[2017]]}}}