{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,19]],"date-time":"2026-02-19T22:12:35Z","timestamp":1771539155133,"version":"3.50.1"},"publisher-location":"Berlin, Heidelberg","reference-count":17,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"value":"9783642173158","type":"print"},{"value":"9783642173165","type":"electronic"}],"license":[{"start":{"date-parts":[[2010,1,1]],"date-time":"2010-01-01T00:00:00Z","timestamp":1262304000000},"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":[[2010]]},"DOI":"10.1007\/978-3-642-17316-5_18","type":"book-chapter","created":{"date-parts":[[2010,11,12]],"date-time":"2010-11-12T00:19:48Z","timestamp":1289521188000},"page":"193-201","source":"Crossref","is-referenced-by-count":3,"title":["Discretization of Time Series Dataset Using Relative Frequency and K-Nearest Neighbor Approach"],"prefix":"10.1007","author":[{"given":"Azuraliza","family":"Abu Bakar","sequence":"first","affiliation":[]},{"given":"Almahdi","family":"Mohammed Ahmed","sequence":"additional","affiliation":[]},{"given":"Abdul","family":"Razak Hamdan","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"key":"18_CR1","unstructured":"Waldron, M., Manuel, P.: Genetic Algorithms as a Data Discretization Method. In: Proceeding of Midwest Instruction and Computing Symposium (2005)"},{"key":"18_CR2","unstructured":"Jiawei, H., Micheline, K.: Data Mining: Concepts and Techniques. Morgan Kaufmann, CA (2005)"},{"key":"18_CR3","unstructured":"Keogh, E.: A decade of progress in indexing and mining large time series databases. In: Proceedings of the 32nd International Conference on Very Large Data Bases, Seoul, Korea, pp. 1268\u20131268 (2006)"},{"key":"18_CR4","doi-asserted-by":"crossref","unstructured":"Keogh, E., Kasetty, S.: On the need for time series data mining benchmarks: a survey and empirical demonstration. In: Proceedings of the eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Edmonton, Alberta, Canada, pp. 349\u2013371 (2002)","DOI":"10.1145\/775047.775062"},{"key":"18_CR5","doi-asserted-by":"crossref","unstructured":"Han, J.: Data mining techniques. In: Proceedings of the 1996 ACM SIGMOD International Conference on Management of data, Montreal, Quebec, Canada, p. 545 (1996)","DOI":"10.1145\/233269.280351"},{"key":"18_CR6","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"69","DOI":"10.1007\/3-540-57301-1_5","volume-title":"Foundations of Data Organization and Algorithms","author":"A. Rakesh","year":"1993","unstructured":"Rakesh, A., Faloutsos, C., Swami, A.: Efficient similarity search in sequence databases. In: Lomet, D.B. (ed.) FODO 1993. LNCS, vol.\u00a0730, pp. 69\u201384. Springer, Heidelberg (1993)"},{"key":"18_CR7","doi-asserted-by":"crossref","unstructured":"M\u00f6rchen, F.: Optimizing time series discretization for knowledge discovery. In: Proceedings of the Eleventh ACM SIGKDD International Conference on Knowledge Discovery in Data Mining, Chicago, Illinois, USA, pp. 660\u2013665 (2005)","DOI":"10.1145\/1081870.1081953"},{"key":"18_CR8","doi-asserted-by":"crossref","unstructured":"Brian, B., Shivnath, B.: Models and issues in data stream systems. In: Proceedings of the Twenty-First ACM SIGMOD-SIGACT-SIGART Symposium on Principles of Database Systems, Madison, Wisconsin, pp. 1\u201316 (2002)","DOI":"10.1145\/543613.543615"},{"key":"18_CR9","doi-asserted-by":"crossref","unstructured":"Jessica, L., Eamonn, K.: A symbolic representation of time series, with implications for streaming algorithms. In: Proceedings of the 8th ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery, San Diego, California, pp. 2\u201311 (2003)","DOI":"10.1145\/882082.882086"},{"key":"18_CR10","series-title":"Lecture Notes in Artificial Intelligence","doi-asserted-by":"publisher","first-page":"147","DOI":"10.1007\/3-540-45244-3_12","volume-title":"Temporal, Spatial, and Spatio-Temporal Data Mining","author":"F.R. John","year":"2001","unstructured":"John, F.R., Kathleen, H., Myra, S.: An Updated Bibliography of Temporal, Spatial, and Spatio-temporal Data Mining Research. In: Roddick, J., Hornsby, K.S. (eds.) TSDM 2000. LNCS (LNAI), vol.\u00a02007, pp. 147\u2013163. Springer, Heidelberg (2001)"},{"key":"18_CR11","first-page":"214","volume":"32","author":"M. Acosta","year":"2007","unstructured":"Acosta, M., Nicandro, H.G., Daniel-Alejandro, C.R.: Entropy Based Linear Approximation Algorithm for Time Series Discretization. Advances in Artificial Intelligence and Applications\u00a032, 214\u2013224 (2007)","journal-title":"Advances in Artificial Intelligence and Applications"},{"key":"18_CR12","unstructured":"Alejandro, G.L.D.: Algoritmo de Discretizaci\u00f3n de Series de Tiempo Basado en Entrop\u00eda y su Aplicaci\u00f3n en Datos Colposcopicos. Universidad Veracruzana (2007)"},{"key":"18_CR13","doi-asserted-by":"crossref","unstructured":"Acosta-Mesa, D.A.: Discretization of Time Series Dataset with a Genetic Search. In: Aguirre, H., et al. (eds.) MICAI 2009. LNCS, vol.\u00a05845, pp. 201\u2013212. Springer, Heidelberg (2009)","DOI":"10.1007\/978-3-642-05258-3_18"},{"key":"18_CR14","series-title":"Lecture Notes in Artificial Intelligence","doi-asserted-by":"publisher","first-page":"115","DOI":"10.1007\/3-540-44794-6_10","volume-title":"Principles of Data Mining and Knowledge Discovery","author":"P. Geurts","year":"2001","unstructured":"Geurts, P.: Pattern extraction for time series classification. In: Siebes, A., De Raedt, L. (eds.) PKDD 2001. LNCS (LNAI), vol.\u00a02168, pp. 115\u2013127. Springer, Heidelberg (2001)"},{"key":"18_CR15","series-title":"Book Fast Time Sequence Indexing for Arbitrary Lp Norms, Series Fast Time Sequence Indexing for Arbitrary Lp Norms","volume-title":"Fast Time Sequence Indexing for Arbitrary Lp Norms","author":"Y. Byoung-Kee","year":"2000","unstructured":"Byoung-Kee, Y., Christos, F.: Fast Time Sequence Indexing for Arbitrary Lp Norms. Book Fast Time Sequence Indexing for Arbitrary Lp Norms, Series Fast Time Sequence Indexing for Arbitrary Lp Norms,Kaufmann. Morgan Kaufmann, San Francisco (2000)"},{"key":"18_CR16","unstructured":"Almahdi, M.A., Azuraliza, A.B., Abdul, R.H.: Dynamic data discretization technique based on frequency and K-Nearest Neighbour algorithm. In: Proceedings of the 2nd Conference on Data Mining and Optimization, Malaysia, pp. 27\u201328 (2009)"},{"key":"18_CR17","unstructured":"Keogh, E., Xi, X., Wei, L.: The UCR Time Series Classification Clustering Homepage (2006), http:\/\/www.cs.ucr.edu\/~eamonn\/time_series_data"}],"container-title":["Lecture Notes in Computer Science","Advanced Data Mining and Applications"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-642-17316-5_18","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,2,27]],"date-time":"2025-02-27T20:00:16Z","timestamp":1740686416000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-642-17316-5_18"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2010]]},"ISBN":["9783642173158","9783642173165"],"references-count":17,"URL":"https:\/\/doi.org\/10.1007\/978-3-642-17316-5_18","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2010]]}}}