{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,23]],"date-time":"2025-08-23T00:08:11Z","timestamp":1755907691989,"version":"3.44.0"},"publisher-location":"New York, NY, USA","reference-count":17,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,9,22]],"date-time":"2023-09-22T00:00:00Z","timestamp":1695340800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2023,9,22]]},"DOI":"10.1145\/3627377.3627411","type":"proceedings-article","created":{"date-parts":[[2023,12,4]],"date-time":"2023-12-04T12:08:25Z","timestamp":1701691705000},"page":"215-221","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["An improvement of SAX representation for time series by using wavelet packet decomposition and FastDTW"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0009-4124-7556","authenticated-orcid":false,"given":"Yonghua","family":"Guo","sequence":"first","affiliation":[{"name":"School of Information and Control Engineering, Qingdao University of Technology, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6401-2882","authenticated-orcid":false,"given":"Kai","family":"Zhu","sequence":"additional","affiliation":[{"name":"School of Computing, Xi'an Shiyou University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-7547-8498","authenticated-orcid":false,"given":"Xu","family":"Cheng","sequence":"additional","affiliation":[{"name":"School of Information and Control Engineering, Qingdao University of Technology, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2023,12,4]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.7763\/IJCTE.2010.V2.138"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.7763\/IJCTE.2010.V2.271"},{"key":"e_1_3_2_1_3_1","first-page":"x115","article-title":"New time series data representation ESAX for financial applications[C]\/\/22nd International Conference on Data Engineering Workshops (ICDEW'06)","volume":"2006","author":"Lkhagva B.","year":"2006","unstructured":"B.Lkhagva, Y.Suzuki and K.Kawagoe. 2006. New time series data representation ESAX for financial applications[C]\/\/22nd International Conference on Data Engineering Workshops (ICDEW'06). IEEE, 2006: x115-x115.","journal-title":"IEEE"},{"key":"e_1_3_2_1_4_1","article-title":"Symbolic algorithm for time series data based on statistic feature[J]","volume":"2008","author":"Zhong Q.","year":"2008","unstructured":"Q.Zhong, Z.Cai. 2008. Symbolic algorithm for time series data based on statistic feature[J]. Chinese Journal of Computers, 2008, 31(10): 1857-1864.","journal-title":"Chinese Journal of Computers"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"crossref","unstructured":"C.T.Zan H.Yamana. 2016. An improved symbolic aggregate approximation distance measure based on its statistical features[C]\/\/Proceedings of the 18th international conference on Information Integration and web-based applications and Services. 2016: 72-80.","DOI":"10.1145\/3011141.3011146"},{"key":"e_1_3_2_1_6_1","first-page":"905","article-title":"Entropy-based symbolic aggregate approximation representation method for time series[C]\/\/2020 IEEE 9th Joint International Information Technology and Artificial Intelligence Conference","volume":"2020","author":"Zhang H.","year":"2020","unstructured":"H. Zhang, Y. Dong and D. Xu. 2020. Entropy-based symbolic aggregate approximation representation method for time series[C]\/\/2020 IEEE 9th Joint International Information Technology and Artificial Intelligence Conference. IEEE, 2020, 9: 905-909.","journal-title":"IEEE"},{"key":"e_1_3_2_1_7_1","first-page":"625","volume-title":"Intelligent Data Analysis","author":"Le X.M.T.","year":"2020","unstructured":"X.M.T.Le, T.M.Tran and H.T. Nguyen. 2020. An improvement of SAX representation for time series by using complexity invariance[J]. Intelligent Data Analysis, 2020, 24(3): 625-641."},{"key":"e_1_3_2_1_8_1","first-page":"189","volume-title":"Neurocomputing","author":"Sun Y.","year":"2014","unstructured":"Y.Sun, J.Li, J.Liu, B.Sun and C.Chow. 2014. An improvement of symbolic aggregate approximation distance measure for time series[J]. Neurocomputing, 2014, 138: 189-198."},{"key":"e_1_3_2_1_9_1","first-page":"216","volume-title":"Computer Science","author":"Haijuan JI","year":"2018","unstructured":"JI Haijuan, ZHOU Conghua, LIU Zhifeng. 2018. Symbolic aggregate approximation method of time series based on beginning and end distance[J]. Computer Science, 2018, 45(6): 216-221."},{"key":"e_1_3_2_1_10_1","first-page":"87","volume-title":"Application Research of Computers","author":"Junjie HUANG","year":"2023","unstructured":"HUANG Junjie, XU Xinghua, CUI Xiaopeng, 2023. Time series symbolic aggregate approximation method fusion trend information[J]. Application Research of Computers, 2023, 40(1): 87-90."},{"key":"e_1_3_2_1_11_1","first-page":"452","volume-title":"Control and Decision","author":"Hailin LI","year":"2017","unstructured":"LI Hailin, LIANG Ye. 2017. Similarity measure based on numerical symbolic and shape features for time series[J]. Control and Decision, 2017, 32(3):452-458."},{"key":"e_1_3_2_1_12_1","first-page":"1491","volume-title":"Computer Engineering and Science","author":"Yingying BAI","year":"2019","unstructured":"BAI Yingying, WANG Huiqing, GUO Zhirong. 2019. A time series SAX model based on local mean decomposition and improved wavelet entropy[J]. Computer Engineering and Science, 2019, 41(8): 1491-1496."},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11012-014-9968-z"},{"key":"e_1_3_2_1_14_1","first-page":"561","volume-title":"Intelligent Data Analysis","author":"Salvador S.","year":"2007","unstructured":"S. Salvador and P. Chan. 2007. Toward accurate dynamic time warping in linear time and space[J]. Intelligent Data Analysis, 2007, 11(5): 561-580."},{"key":"e_1_3_2_1_15_1","volume-title":"The UCR time series classification archive[J]","author":"Chen Y.","year":"2015","unstructured":"Y. Chen, E.Keogh, B.Hu, A.Bagnall, A.Mueen and G.Batista. 2015. The UCR time series classification archive[J]. 2015."},{"key":"e_1_3_2_1_16_1","first-page":"x115","article-title":"New time series data representation ESAX for financial applications[C]\/\/22nd International Conference on Data Engineering Workshops (ICDEW'06)","volume":"2006","author":"Lkhagva B.","year":"2006","unstructured":"B.Lkhagva, Y.Suzuki and K.Kawagoe. 2006. New time series data representation ESAX for financial applications[C]\/\/22nd International Conference on Data Engineering Workshops (ICDEW'06). IEEE, 2006: x115-x115.","journal-title":"IEEE"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.7763\/IJCTE.2010.V2.184"}],"event":{"name":"ICBDT 2023: 2023 6th International Conference on Big Data Technologies","acronym":"ICBDT 2023","location":"Qingdao China"},"container-title":["Proceedings of the 2023 6th International Conference on Big Data Technologies"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3627377.3627411","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3627377.3627411","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T16:18:33Z","timestamp":1755879513000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3627377.3627411"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,9,22]]},"references-count":17,"alternative-id":["10.1145\/3627377.3627411","10.1145\/3627377"],"URL":"https:\/\/doi.org\/10.1145\/3627377.3627411","relation":{},"subject":[],"published":{"date-parts":[[2023,9,22]]},"assertion":[{"value":"2023-12-04","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}