{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,21]],"date-time":"2025-03-21T02:10:24Z","timestamp":1742523024700,"version":"3.40.1"},"publisher-location":"Berlin, Heidelberg","reference-count":20,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783642283192"},{"type":"electronic","value":"9783642283208"}],"license":[{"start":{"date-parts":[[2012,1,1]],"date-time":"2012-01-01T00:00:00Z","timestamp":1325376000000},"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":[[2012]]},"DOI":"10.1007\/978-3-642-28320-8_12","type":"book-chapter","created":{"date-parts":[[2012,2,17]],"date-time":"2012-02-17T13:04:49Z","timestamp":1329483889000},"page":"136-147","source":"Crossref","is-referenced-by-count":1,"title":["A Method of Similarity Measure and Visualization for Long Time Series Using Binary Patterns"],"prefix":"10.1007","author":[{"given":"Hailin","family":"Li","sequence":"first","affiliation":[]},{"given":"Chonghui","family":"Guo","sequence":"additional","affiliation":[]},{"given":"Libin","family":"Yang","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"key":"12_CR1","unstructured":"Agrawal, R., Lin, K.I., Sawhney, H.S., Shim, K.: Fast similarity search in the presence of noise, scaling and translation in time-series databases. In: Proceedings of Very Large DataBase (VLDB), pp. 490\u2013501 (1995)"},{"key":"12_CR2","unstructured":"Berndt, D.J., Clifford, J.: Finding patterns in time series: A dynmaic programming approach. In: Advances in Knowledge Discovery and Data Mining, pp. 229\u2013248 (1996)"},{"issue":"17","key":"12_CR3","doi-asserted-by":"publisher","first-page":"3067","DOI":"10.1016\/j.ins.2010.03.025","volume":"180","author":"L. Cao","year":"2010","unstructured":"Cao, L.: In-depth Behavior Understanding and Use: the Behavior Informatics Approach. Information Science\u00a0180(17), 3067\u20133085 (2010)","journal-title":"Information Science"},{"key":"12_CR4","unstructured":"Rabiner, L., Juang, B.H.: Fundamentals of speech recognition, Englewood Cliffs, N.J (1993)"},{"key":"12_CR5","doi-asserted-by":"crossref","unstructured":"Keogh, E.: Exact indexing of dynamic time warping. In: Proceedings of the 28th VLDB Conference, Hong Kong, China, pp. 1\u201312 (2002)","DOI":"10.1016\/B978-155860869-6\/50043-3"},{"key":"12_CR6","doi-asserted-by":"crossref","unstructured":"Popivanov, I., Miller, R.J.: Similarity search over time-series data using wavelets. In: Proceedings of the 18th International Conference on Data Engineering, pp. 212\u2013221 (2002)","DOI":"10.1109\/ICDE.2002.994711"},{"key":"12_CR7","unstructured":"Iyer, M.A., Harris, M.M., Watson, L.T., Berry, M.W.: A performance comparison of piecewise linear estimation methods. In: Proceedings of the 2008 Spring Simulation Multi-Conference, pp. 273\u2013278 (2008)"},{"key":"12_CR8","doi-asserted-by":"publisher","first-page":"107","DOI":"10.1007\/s10618-007-0064-z","volume":"15","author":"J. Lin","year":"2007","unstructured":"Lin, J., Keogh, E., Wei, L., Lonardi, S.: Experiencing SAX: a novel symbolic representation of time series. Data Mining and Knowledge Discovery\u00a015, 107\u2013144 (2007)","journal-title":"Data Mining and Knowledge Discovery"},{"key":"12_CR9","doi-asserted-by":"crossref","unstructured":"Lin, J., Keogh, E., Lonardi, S., Chiu, B.: 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, pp. 2\u201311 (2003)","DOI":"10.1145\/882082.882086"},{"key":"12_CR10","doi-asserted-by":"crossref","unstructured":"Keogh, E., Lin, J., Fu, A.: Hot SAX: efficiently finding the most unusual time series subsequence. In: Proceedings of the 5th IEEE International Conference on Data Mining, pp. 226\u2013233 (2005)","DOI":"10.1109\/ICDM.2005.79"},{"key":"12_CR11","doi-asserted-by":"crossref","unstructured":"Theodoridis, S., Koutroumbas, K.: Pattern Recognition, 4th edn., pp. 323\u2013409 (2009)","DOI":"10.1016\/B978-1-59749-272-0.50008-6"},{"key":"12_CR12","doi-asserted-by":"crossref","unstructured":"Faloutsos, C., Ranganathan, M., Manolopoulos, Y.: Fast subsequence matching in time series databases. In: Proceedings of the ACM SIGMOD International Conference on Management of Data, pp. 419\u2013429 (1994)","DOI":"10.1145\/191843.191925"},{"key":"12_CR13","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"461","DOI":"10.1007\/978-3-642-02279-1_33","volume-title":"Scientific and Statistical Database Management","author":"J. Lin","year":"2009","unstructured":"Lin, J., Li, Y.: Finding Structural Similarity in Time Series Data using Bag of Patterns Representation. In: Winslett, M. (ed.) SSDBM 2009. LNCS, vol.\u00a05566, pp. 461\u2013477. Springer, Heidelberg (2009)"},{"key":"12_CR14","first-page":"1269","volume-title":"Proceedings 2004 VLDB Conference","author":"J. Lin","year":"2004","unstructured":"Lin, J., Keogh, E., et al.: VizTree: a tool for visually mining and monitoring massive time series databases. In: Proceedings 2004 VLDB Conference, pp. 1269\u20131272. Morgan Kaufmann, St Louis (2004)"},{"key":"12_CR15","doi-asserted-by":"crossref","unstructured":"Lin, J., Keogh, E., et al.: Visually mining and monitoring massive time series. In: Proceedings of the 10th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Seattle, WA, USA, pp. 460\u2013469 (2004)","DOI":"10.1145\/1014052.1014104"},{"key":"12_CR16","doi-asserted-by":"crossref","unstructured":"Kumar, N., Lolla, V.N., et al.: Time-series bitmaps: a practical visualization tool for working with large time series databases. In: SIAM 2005 Data Mining Conference, pp. 531\u2013535 (2005)","DOI":"10.1137\/1.9781611972757.55"},{"issue":"8","key":"12_CR17","doi-asserted-by":"publisher","first-page":"1217","DOI":"10.1016\/j.engappai.2008.01.005","volume":"21","author":"T.C. Fu","year":"2008","unstructured":"Fu, T.C., Chung, F.L., Kwok, K., Ng, C.M.: Stock time series visualization based on data point importance. Engineering Applications of Artificial Intelligence\u00a021(8), 1217\u20131232 (2008)","journal-title":"Engineering Applications of Artificial Intelligence"},{"key":"12_CR18","unstructured":"Barnsley, M.F.: Fractals everywhere, 2nd edn. Academic Press (1993)"},{"key":"12_CR19","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"196","DOI":"10.1007\/978-3-540-39737-3_25","volume-title":"Computer and Information Sciences - ISCIS 2003","author":"A. Ekambaram","year":"2003","unstructured":"Ekambaram, A., Montagne, E.: An Alternative Compress Storage Format for Sparse Matrices. In: Yaz\u0131c\u0131, A., \u015eener, C. (eds.) ISCIS 2003. LNCS, vol.\u00a02869, pp. 196\u2013203. Springer, Heidelberg (2003)"},{"key":"12_CR20","unstructured":"Stock.: Stock data web page (2005), http:\/\/www.cs.ucr.edu\/~wli\/FilteringData\/stock.zip"}],"container-title":["Lecture Notes in Computer Science","New Frontiers in Applied Data Mining"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-642-28320-8_12","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,3,21]],"date-time":"2025-03-21T01:49:50Z","timestamp":1742521790000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-642-28320-8_12"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2012]]},"ISBN":["9783642283192","9783642283208"],"references-count":20,"URL":"https:\/\/doi.org\/10.1007\/978-3-642-28320-8_12","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2012]]}}}