{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T22:11:16Z","timestamp":1743027076846,"version":"3.40.3"},"publisher-location":"Cham","reference-count":26,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319912615"},{"type":"electronic","value":"9783319912622"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"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":[[2018]]},"DOI":"10.1007\/978-3-319-91262-2_34","type":"book-chapter","created":{"date-parts":[[2018,5,10]],"date-time":"2018-05-10T13:22:44Z","timestamp":1525958564000},"page":"376-386","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Estimation of Probability Density Function, Differential Entropy and Other Relative Quantities for Data Streams with Concept Drift"],"prefix":"10.1007","author":[{"given":"Maciej","family":"Jaworski","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Patryk","family":"Najgebauer","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Piotr","family":"Goetzen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2018,5,11]]},"reference":[{"issue":"9","key":"34_CR1","doi-asserted-by":"publisher","first-page":"2561","DOI":"10.1109\/TPDS.2014.2357019","volume":"26","author":"J Bilski","year":"2015","unstructured":"Bilski, J., Smolag, J.: Parallel architectures for learning the RTRN and Elman dynamic neural networks. IEEE Trans. Parallel Distrib. Syst. 26(9), 2561\u20132570 (2015)","journal-title":"IEEE Trans. Parallel Distrib. Syst."},{"issue":"2","key":"34_CR2","doi-asserted-by":"publisher","first-page":"125","DOI":"10.1515\/jaiscr-2017-0009","volume":"7","author":"O Chang","year":"2017","unstructured":"Chang, O., Constante, P., Gordon, A., Singana, M.: A novel deep neural network that uses space-time features for tracking and recognizing a moving object. J. Artif. Intell. Soft Comput. Res. 7(2), 125\u2013136 (2017)","journal-title":"J. Artif. Intell. Soft Comput. Res."},{"issue":"3","key":"34_CR3","doi-asserted-by":"publisher","first-page":"155","DOI":"10.1515\/jaiscr-2017-0011","volume":"7","author":"VS Devi","year":"2017","unstructured":"Devi, V.S., Meena, L.: Parallel MCNN (PMCNN) with application to prototype selection on large and streaming data. J. Artif. Intell. Soft Comput. Res. 7(3), 155\u2013169 (2017)","journal-title":"J. Artif. Intell. Soft Comput. Res."},{"key":"34_CR4","first-page":"113","volume":"15","author":"LP Devroye","year":"1979","unstructured":"Devroye, L.P.: On the pointwise and the integral convergence of recursive kernel estimates of probability densities. Utilitas Math. (Canada) 15, 113\u2013128 (1979)","journal-title":"Utilitas Math. (Canada)"},{"issue":"4","key":"34_CR5","doi-asserted-by":"publisher","first-page":"12","DOI":"10.1109\/MCI.2015.2471196","volume":"10","author":"G Ditzler","year":"2015","unstructured":"Ditzler, G., Roveri, M., Alippi, C., Polikar, R.: Learning in nonstationary environments: a survey. IEEE Comput. Intell. Mag. 10(4), 12\u201325 (2015)","journal-title":"IEEE Comput. Intell. Mag."},{"key":"34_CR6","doi-asserted-by":"crossref","unstructured":"Duda, P., Jaworski, M., Rutkowski, L.: On ensemble components selection in data streams scenario with reoccurring concept-drift. In: 2017 IEEE Symposium Series on Computational Intelligence (SSCI), pp. 1821\u20131827, November 2017","DOI":"10.1109\/SSCI.2017.8285362"},{"issue":"1","key":"34_CR7","doi-asserted-by":"publisher","first-page":"153","DOI":"10.1137\/1114019","volume":"14","author":"VA Epanechnikov","year":"1969","unstructured":"Epanechnikov, V.A.: Non-parametric estimation of a multivariate probability density. Theory Probab. Appl. 14(1), 153\u2013158 (1969)","journal-title":"Theory Probab. Appl."},{"issue":"8","key":"34_CR8","doi-asserted-by":"publisher","first-page":"785","DOI":"10.1109\/TAC.1986.1104399","volume":"31","author":"T Galkowski","year":"1986","unstructured":"Galkowski, T., Rutkowski, L.: Nonparametric fitting of multivariate functions. IEEE Trans. Autom. Control 31(8), 785\u2013787 (1986)","journal-title":"IEEE Trans. Autom. Control"},{"issue":"4","key":"34_CR9","doi-asserted-by":"publisher","first-page":"44","DOI":"10.1145\/2523813","volume":"46","author":"J Gama","year":"2014","unstructured":"Gama, J., \u017dliobait\u0117, I., Bifet, A., Pechenizkiy, M., Bouchachia, A.: A survey on concept drift adaptation. ACM Comput. Surv. (CSUR) 46(4), 44 (2014)","journal-title":"ACM Comput. Surv. (CSUR)"},{"key":"34_CR10","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511536687","volume-title":"Nonparametric System Identification","author":"W Greblicki","year":"2008","unstructured":"Greblicki, W., Pawlak, M.: Nonparametric System Identification. Cambridge University Press, Cambridge (2008)"},{"key":"34_CR11","doi-asserted-by":"crossref","unstructured":"Jaworski, M., Duda, P., Rutkowski, L.: On applying the Restricted Boltzmann Machine to active concept drift detection. In: 2017 IEEE Symposium Series on Computational Intelligence (SSCI), pp. 3512\u20133519, November 2017","DOI":"10.1109\/SSCI.2017.8285409"},{"issue":"99","key":"34_CR12","first-page":"1","volume":"PP","author":"M Jaworski","year":"2018","unstructured":"Jaworski, M., Duda, P., Rutkowski, L.: New splitting criteria for decision trees in stationary data streams. IEEE Trans. Neural Netw. Learn. Syst. PP(99), 1\u201314 (2018)","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"key":"34_CR13","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"726","DOI":"10.1007\/978-3-319-59060-8_65","volume-title":"Artificial Intelligence and Soft Computing","author":"M Jaworski","year":"2017","unstructured":"Jaworski, M., Duda, P., Rutkowski, L., Najgebauer, P., Pawlak, M.: Heuristic regression function estimation methods for data streams with concept drift. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds.) ICAISC 2017. LNCS (LNAI), vol. 10246, pp. 726\u2013737. Springer, Cham (2017). https:\/\/doi.org\/10.1007\/978-3-319-59060-8_65"},{"key":"34_CR14","doi-asserted-by":"publisher","first-page":"159","DOI":"10.1016\/0378-3758(87)90065-6","volume":"16","author":"A Krzyzak","year":"1987","unstructured":"Krzyzak, A., Pawlak, M.: The pointwise rate of convergence of the kernel regression estimate. J. Stat. Plan. Inference 16, 159\u2013166 (1987)","journal-title":"J. Stat. Plan. Inference"},{"key":"34_CR15","series-title":"Lecture Notes in Business Information Processing","doi-asserted-by":"publisher","first-page":"88","DOI":"10.1007\/978-3-319-17551-5_4","volume-title":"Business Intelligence","author":"V Lemaire","year":"2015","unstructured":"Lemaire, V., Salperwyck, C., Bondu, A.: A survey on supervised classification on data streams. In: Zim\u00e1nyi, E., Kutsche, R.-D. (eds.) eBISS 2014. LNBIP, vol. 205, pp. 88\u2013125. Springer, Cham (2015). https:\/\/doi.org\/10.1007\/978-3-319-17551-5_4"},{"key":"34_CR16","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"79","DOI":"10.1007\/978-3-319-19324-3_8","volume-title":"Artificial Intelligence and Soft Computing","author":"C Napoli","year":"2015","unstructured":"Napoli, C., Pappalardo, G., Tramontana, E., Nowicki, R.K., Starczewski, J.T., Wo\u017aniak, M.: Toward work groups classification based on probabilistic neural network approach. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds.) ICAISC 2015. LNCS (LNAI), vol. 9119, pp. 79\u201389. Springer, Cham (2015). https:\/\/doi.org\/10.1007\/978-3-319-19324-3_8"},{"issue":"4","key":"34_CR17","doi-asserted-by":"publisher","first-page":"243","DOI":"10.1515\/jaiscr-2017-0017","volume":"7","author":"G Notomista","year":"2017","unstructured":"Notomista, G., Botsch, M.: A machine learning approach for the segmentation of driving maneuvers and its application in autonomous parking. J. Artif. Intell. Soft Comput. Res. 7(4), 243\u2013255 (2017)","journal-title":"J. Artif. Intell. Soft Comput. Res."},{"key":"34_CR18","doi-asserted-by":"publisher","first-page":"1065","DOI":"10.1214\/aoms\/1177704472","volume":"33","author":"E Parzen","year":"1962","unstructured":"Parzen, E.: On estimation of probability density function and mode. Ann. Math. Stat. 33, 1065\u20131076 (1962)","journal-title":"Ann. Math. Stat."},{"key":"34_CR19","doi-asserted-by":"crossref","unstructured":"Pietruczuk, L., Rutkowski, L., Jaworski, M., Duda, P.: The Parzen kernel approach to learning in non-stationary environment. In: 2014 International Joint Conference on Neural Networks (IJCNN), pp. 3319\u20133323 (2014)","DOI":"10.1109\/IJCNN.2014.6889805"},{"key":"34_CR20","series-title":"Lecture Notes in Statistics","doi-asserted-by":"publisher","first-page":"236","DOI":"10.1007\/978-1-4612-5934-3_21","volume-title":"The First Pannonian Symposium on Mathematical Statistics","author":"L Rutkowski","year":"1981","unstructured":"Rutkowski, L.: Sequential estimates of a regression function by orthogonal series with applications in discrimination. In: R\u00e9v\u00e9sz, P., Schatterer, L., Zolotarev, V.M. (eds.) The First Pannonian Symposium on Mathematical Statistics. LNS, vol. 8, pp. 236\u2013244. Springer, New York (1981). https:\/\/doi.org\/10.1007\/978-1-4612-5934-3_21"},{"key":"34_CR21","doi-asserted-by":"publisher","first-page":"576","DOI":"10.1109\/TNN.2004.826127","volume":"15","author":"L Rutkowski","year":"2004","unstructured":"Rutkowski, L.: Generalized regression neural networks in time-varying environment. IEEE Trans. Neural Netw. 15, 576\u2013596 (2004)","journal-title":"IEEE Trans. Neural Netw."},{"issue":"5","key":"34_CR22","doi-asserted-by":"publisher","first-page":"1048","DOI":"10.1109\/TNNLS.2014.2333557","volume":"26","author":"L Rutkowski","year":"2015","unstructured":"Rutkowski, L., Jaworski, M., Pietruczuk, L., Duda, P.: A new method for data stream mining based on the misclassification error. IEEE Trans. Neural Netw. Learn. Syst. 26(5), 1048\u20131059 (2015)","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"issue":"1","key":"34_CR23","doi-asserted-by":"publisher","first-page":"109","DOI":"10.1016\/0893-6080(90)90049-Q","volume":"3","author":"DF Specht","year":"1990","unstructured":"Specht, D.F.: Probabilistic neural networks. Neural Netw. 3(1), 109\u2013118 (1990)","journal-title":"Neural Netw."},{"issue":"3","key":"34_CR24","doi-asserted-by":"publisher","first-page":"201","DOI":"10.1515\/jaiscr-2017-0014","volume":"7","author":"P Yan","year":"2017","unstructured":"Yan, P.: Mapreduce and semantics enabled event detection using social media. J. Artif. Intell. Soft Comput. Res. 7(3), 201\u2013213 (2017)","journal-title":"J. Artif. Intell. Soft Comput. Res."},{"issue":"2","key":"34_CR25","doi-asserted-by":"publisher","first-page":"87","DOI":"10.1515\/jaiscr-2017-0006","volume":"7","author":"S Yang","year":"2017","unstructured":"Yang, S., Sato, Y.: Swarm intelligence algorithm based on competitive predators with dynamic virtual teams. J. Artif. Intell. Soft Comput. Res. 7(2), 87\u2013101 (2017)","journal-title":"J. Artif. Intell. Soft Comput. Res."},{"key":"34_CR26","series-title":"Advances in Intelligent Systems and Computing","doi-asserted-by":"publisher","first-page":"147","DOI":"10.1007\/978-3-319-28567-2_13","volume-title":"Information Systems Architecture and Technology","author":"M Zalasi\u0144ski","year":"2016","unstructured":"Zalasi\u0144ski, M., Cpa\u0142ka, K.: New algorithm for on-line signature verification using characteristic hybrid partitions. In: Wilimowska, Z., Borzemski, L., Grzech, A., \u015awi\u0105tek, J. (eds.) ISAT 2015. AISC, vol. 432, pp. 147\u2013157. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-28567-2_13"}],"container-title":["Lecture Notes in Computer Science","Artificial Intelligence and Soft Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-91262-2_34","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,13]],"date-time":"2024-03-13T10:32:38Z","timestamp":1710325958000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-319-91262-2_34"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783319912615","9783319912622"],"references-count":26,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-91262-2_34","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2018]]},"assertion":[{"value":"11 May 2018","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICAISC","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Artificial Intelligence and Soft Computing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Zakopane","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Poland","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2018","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"3 June 2018","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"7 June 2018","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":"icaisc2018","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/icaisc.eu\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}