{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T04:22:32Z","timestamp":1742962952505,"version":"3.40.3"},"publisher-location":"Berlin, Heidelberg","reference-count":31,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783642293498"},{"type":"electronic","value":"9783642293504"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2012]]},"DOI":"10.1007\/978-3-642-29350-4_7","type":"book-chapter","created":{"date-parts":[[2012,4,16]],"date-time":"2012-04-16T11:01:00Z","timestamp":1334574060000},"page":"56-63","source":"Crossref","is-referenced-by-count":17,"title":["On Pre-processing Algorithms for Data Stream"],"prefix":"10.1007","author":[{"given":"Piotr","family":"Duda","sequence":"first","affiliation":[]},{"given":"Maciej","family":"Jaworski","sequence":"additional","affiliation":[]},{"given":"Lena","family":"Pietruczuk","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"key":"7_CR1","doi-asserted-by":"crossref","unstructured":"Aggarwal, C.C., Han, J., Wang, J., Yu, P.S.: A framework for clustering evolving data streams. In: Proceedings of 29th International Conference on Very Large Data Bases, pp. 81\u201392 (2003)","DOI":"10.1016\/B978-012722442-8\/50016-1"},{"key":"7_CR2","doi-asserted-by":"crossref","unstructured":"Birant, D., Kut, A.: ST-DBSCAN: An algorithm for clustering spatial-temporal data. In: Data and Knowledge Engineering, pp. 208\u2013221 (2007)","DOI":"10.1016\/j.datak.2006.01.013"},{"key":"7_CR3","unstructured":"Domingos, P., Hulton, G.: A general method for scaling up machine learning algorithms and its application to clustering. In: Proceedings of the 18th International Conference on Machine Learning, pp. 106\u2013113 (2001)"},{"key":"7_CR4","doi-asserted-by":"crossref","unstructured":"Babcook, B., Badu, S., Datar, M., Motwani, R., Widom, J.: Models and Issues in Data Stream Systems. In: International Conference on Management of Data and Symposium on Principles Database and Systems Madison (2002)","DOI":"10.1145\/543613.543615"},{"key":"7_CR5","doi-asserted-by":"crossref","DOI":"10.1007\/978-1-4757-0450-1","volume-title":"Pattern Recognition with Fuzzy Objective Function Algoritms","author":"J.C. Bezdek","year":"1981","unstructured":"Bezdek, J.C.: Pattern Recognition with Fuzzy Objective Function Algoritms. Plenum Press, New York (1981)"},{"key":"7_CR6","doi-asserted-by":"crossref","unstructured":"Golab, L., Ozsu, T.: Issue in Data Stream Management. SIGMOD Record\u00a032(2) (2003)","DOI":"10.1145\/776985.776986"},{"key":"7_CR7","doi-asserted-by":"crossref","unstructured":"Guha, S., Koudas, N., Shim, K.: Data-Streams and Histograms. STOC 2001, Hersonissos, Crete, Greece (2001)","DOI":"10.1145\/380752.380841"},{"key":"7_CR8","unstructured":"Hoppner, F., Klawonn, F., Kruse, R., Runkler, T.: Fuzzy Cluster Analysis. In: Method For Classification, Data Analysis and Image Recognition. John Wiley & Sons, Ltd. (1999)"},{"key":"7_CR9","unstructured":"Jagadish, H.V., Koudas, N., Muthukrishnan, S., Poosala, V., Sevcik, K., Suel, T.: Optimal Histograms with Quality Guarantees. In: Proceeding of the 24th VLBD Conference, New York, USA (1998)"},{"issue":"2","key":"7_CR10","doi-asserted-by":"publisher","first-page":"98","DOI":"10.1109\/91.227387","volume":"1","author":"R. Krishnapuram","year":"1993","unstructured":"Krishnapuram, R., Keller, J.: A possibilistic approach to clustering. IEEE Trans. Fuzzy Syst.\u00a01(2), 98\u2013110 (1993)","journal-title":"IEEE Trans. Fuzzy Syst."},{"key":"7_CR11","first-page":"1","volume":"1","author":"L. Tu","year":"2008","unstructured":"Tu, L., Chen, Y.: Stream Data Clustering based on Grid Density and Attraction. ACM Transactions on Computional Logic\u00a01, 1\u201326 (2008)","journal-title":"ACM Transactions on Computional Logic"},{"key":"7_CR12","first-page":"281","volume-title":"Proceedings of 5th Berkeley Symposium on Mathematical Statistics and Probability","author":"J.B. MacQueen","year":"1967","unstructured":"MacQueen, J.B.: Some Methods for classification and Analysis of Multivariate Observations. In: Proceedings of 5th Berkeley Symposium on Mathematical Statistics and Probability, vol.\u00a01, pp. 281\u2013297. University of California Press, Berkeley (1967)"},{"key":"7_CR13","unstructured":"Miyamoto, S., Ichihashi, H., Honda, K.: Algorithms for Fuzzy Clustering. Methods in C-Means Clustering with Applications. Springer (2008)"},{"key":"7_CR14","doi-asserted-by":"crossref","unstructured":"Park, N.H., Lee, W.S.: Statistical Grid-based Clustering over Data Streams. SIGMOD Record\u00a033(1) (2004)","DOI":"10.1145\/974121.974127"},{"issue":"12","key":"7_CR15","doi-asserted-by":"publisher","first-page":"1033","DOI":"10.1016\/j.na.2009.01.125","volume":"7","author":"R. Nowicki","year":"2009","unstructured":"Nowicki, R.: Nonlinear modelling and classification based on the MICOG defuzzifications. Journal of Nonlinear Analysis, Series A: Theory, Methods and Applications\u00a07(12), 1033\u20131047 (2009)","journal-title":"Journal of Nonlinear Analysis, Series A: Theory, Methods and Applications"},{"key":"7_CR16","unstructured":"O\u2019 Chalaghan, L., Mishra, N., Meyerson, A., Guha, S., Motwani, R.: Streaming data algorithms for high quality clustering. In: Proceedings of the 18th International Conference on Data Engineering, pp. 685\u2013694 (2002)"},{"key":"7_CR17","doi-asserted-by":"crossref","unstructured":"Poosala, V., Ioannidis, Y.E., Haas, P.J., Shekita, E.J.: Improved Histograms for Selectivity Estimation of Range Predicates. In: Proc. of ACM SIGMOD Conf., pp. 294\u2013305 (1996)","DOI":"10.1145\/235968.233342"},{"key":"7_CR18","doi-asserted-by":"publisher","first-page":"1123","DOI":"10.1080\/00207728508926737","volume":"16","author":"L. Rutkowski","year":"1985","unstructured":"Rutkowski, L.: The real-time identification of time-varying systems by nonparametric algorithms based on the Parzen kernels. International Journal of Systems Science\u00a016, 1123\u20131130 (1985)","journal-title":"International Journal of Systems Science"},{"key":"7_CR19","doi-asserted-by":"publisher","first-page":"213","DOI":"10.1016\/0167-8655(88)90027-X","volume":"8","author":"L. Rutkowski","year":"1988","unstructured":"Rutkowski, L.: Sequential pattern recognition procedures derived from multiple Fourier series. Pattern Recognition Letters\u00a08, 213\u2013216 (1988)","journal-title":"Pattern Recognition Letters"},{"issue":"10","key":"7_CR20","doi-asserted-by":"publisher","first-page":"1993","DOI":"10.1080\/00207728908910279","volume":"20","author":"L. Rutkowski","year":"1989","unstructured":"Rutkowski, L.: An application of multiple Fourier series to identification of multivariable nonstationary systems. International Journal of Systems Science\u00a020(10), 1993\u20132002 (1989)","journal-title":"International Journal of Systems Science"},{"key":"7_CR21","doi-asserted-by":"publisher","first-page":"129","DOI":"10.1016\/0165-1684(89)90045-5","volume":"18","author":"L. Rutkowski","year":"1989","unstructured":"Rutkowski, L.: Nonparametric learning algorithms in the time-varying environments. Signal Processing\u00a018, 129\u2013137 (1989)","journal-title":"Signal Processing"},{"key":"7_CR22","doi-asserted-by":"crossref","unstructured":"Rutkowski, L.: Computational Intelligence: Methods and Techniques. Springer (2008)","DOI":"10.1007\/978-3-540-76288-1"},{"key":"7_CR23","doi-asserted-by":"crossref","unstructured":"Rutkowski, L., Cpa\u0142ka, K.: A general approach to neuro - fuzzy systems. In: Proceedings of the 10th IEEE International Conference on Fuzzy Systems, Melbourne, December 2-5, vol.\u00a03, pp. 1428\u20131431 (2001)","DOI":"10.1109\/FUZZ.2001.1008927"},{"issue":"2","key":"7_CR24","first-page":"297","volume":"31","author":"L. Rutkowski","year":"2002","unstructured":"Rutkowski, L., Cpa\u0142ka, K.: A neuro-fuzzy controller with a compromise fuzzy reasoning. Control and Cybernetics\u00a031(2), 297\u2013308 (2002)","journal-title":"Control and Cybernetics"},{"key":"7_CR25","series-title":"Lecture Notes in Artificial Intelligence","doi-asserted-by":"publisher","first-page":"306","DOI":"10.1007\/11785231_33","volume-title":"Artificial Intelligence and Soft Computing \u2013 ICAISC 2006","author":"R. Scherer","year":"2006","unstructured":"Scherer, R.: Boosting Ensemble of Relational Neuro-fuzzy Systems. In: Rutkowski, L., Tadeusiewicz, R., Zadeh, L.A., \u017burada, J.M. (eds.) ICAISC 2006. LNCS (LNAI), vol.\u00a04029, pp. 306\u2013313. Springer, Heidelberg (2006)"},{"key":"7_CR26","series-title":"Lecture Notes in Artificial Intelligence","doi-asserted-by":"publisher","first-page":"210","DOI":"10.1007\/978-3-642-13208-7_27","volume-title":"Artificial Intelligence and Soft Computing","author":"R. Scherer","year":"2010","unstructured":"Scherer, R.: Neuro-fuzzy Systems with Relation Matrix. In: Rutkowski, L., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds.) ICAISC 2010. LNCS (LNAI), vol.\u00a06113, pp. 210\u2013215. Springer, Heidelberg (2010)"},{"key":"7_CR27","doi-asserted-by":"crossref","first-page":"570","DOI":"10.1007\/978-3-7908-1902-1_87","volume-title":"Neural Networks and Soft Computing","author":"J. Starczewski","year":"2003","unstructured":"Starczewski, J., Rutkowski, L.: Interval type 2 neuro-fuzzy systems based on interval consequents. In: Rutkowski, L., Kacprzyk, J. (eds.) Neural Networks and Soft Computing, pp. 570\u2013577. Physica-Verlag, Springer-Verlag Company, Heidelberg, New York (2003)"},{"key":"7_CR28","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"634","DOI":"10.1007\/3-540-48086-2_70","volume-title":"Parallel Processing and Applied Mathematics","author":"J.T. Starczewski","year":"2002","unstructured":"Starczewski, J.T., Rutkowski, L.: Connectionist Structures of Type 2 Fuzzy Inference Systems. In: Wyrzykowski, R., Dongarra, J., Paprzycki, M., Wa\u015bniewski, J. (eds.) PPAM 2001. LNCS, vol.\u00a02328, pp. 634\u2013642. Springer, Heidelberg (2002)"},{"issue":"2","key":"7_CR29","first-page":"135","volume":"1","author":"P. Vivekanandan","year":"2011","unstructured":"Vivekanandan, P., Nedunchezhian, R.: Mining Rules of Concept Drift Using Genetic Algorithm. Journal of Artificial Inteligence and Soft Computing Research\u00a01(2), 135\u2013145 (2011)","journal-title":"Journal of Artificial Inteligence and Soft Computing Research"},{"key":"7_CR30","doi-asserted-by":"crossref","unstructured":"Wan, R., Yan, X., Su, X.: A Weighted Fuzzy Clustering Algorithm for Data Stream. In: ISECS International Colloquium on Computing, Communication, Control, and Management (2008)","DOI":"10.1109\/CCCM.2008.186"},{"key":"7_CR31","doi-asserted-by":"crossref","unstructured":"Zhang, D., Gunopulos, D., Tsotras, V.J., Seeger, B.: Temporal and spatio-temporal aggregations over data streams using multiple time granularities. Journal Information Systems\u00a028(1-2) (2003)","DOI":"10.1016\/S0306-4379(02)00049-2"}],"container-title":["Lecture Notes in Computer Science","Artificial Intelligence and Soft Computing"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-642-29350-4_7.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T22:25:59Z","timestamp":1742941559000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-642-29350-4_7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2012]]},"ISBN":["9783642293498","9783642293504"],"references-count":31,"URL":"https:\/\/doi.org\/10.1007\/978-3-642-29350-4_7","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2012]]}}}