{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,8]],"date-time":"2026-02-08T08:12:57Z","timestamp":1770538377840,"version":"3.49.0"},"publisher-location":"New York, NY, USA","reference-count":47,"publisher":"ACM","license":[{"start":{"date-parts":[[2017,6,27]],"date-time":"2017-06-27T00:00:00Z","timestamp":1498521600000},"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":[[2017,6,27]]},"DOI":"10.1145\/3085504.3085515","type":"proceedings-article","created":{"date-parts":[[2017,6,5]],"date-time":"2017-06-05T12:50:05Z","timestamp":1496667005000},"page":"1-12","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":13,"title":["Data Series Similarity Using Correlation-Aware Measures"],"prefix":"10.1145","author":[{"given":"Katsiaryna","family":"Mirylenka","sequence":"first","affiliation":[{"name":"IBM Research - Zurich, Zurich, Switzerland and University of Trento, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Michele","family":"Dallachiesa","sequence":"additional","affiliation":[{"name":"Skysense, Trento, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Themis","family":"Palpanas","sequence":"additional","affiliation":[{"name":"Paris Descartes University, Paris, France"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2017,6,27]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"http:\/\/fcon_1000.projects.nitrc.org\/indi\/adhd200\/","year":"2011","unstructured":"Adhd-200. http:\/\/fcon_1000.projects.nitrc.org\/indi\/adhd200\/ , 2011 . Adhd-200. http:\/\/fcon_1000.projects.nitrc.org\/indi\/adhd200\/, 2011."},{"key":"e_1_3_2_1_2_1","volume-title":"https:\/\/www.sdss3.org\/drl0\/data_access\/volume.php","year":"2015","unstructured":"Sloan digital sky survey. https:\/\/www.sdss3.org\/drl0\/data_access\/volume.php , 2015 . Sloan digital sky survey. https:\/\/www.sdss3.org\/drl0\/data_access\/volume.php, 2015."},{"key":"e_1_3_2_1_3_1","first-page":"69","volume-title":"Efficient similarity search in sequence databases","author":"Agrawal R.","year":"1993","unstructured":"R. Agrawal , C. Faloutsos , and A. Swami . Efficient similarity search in sequence databases . pages 69 -- 84 . Springer Verlag , 1993 . R. Agrawal, C. Faloutsos, and A. Swami. Efficient similarity search in sequence databases. pages 69--84. Springer Verlag, 1993."},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1007\/11687238_19"},{"key":"e_1_3_2_1_5_1","first-page":"359","volume-title":"AAAIWS","author":"Berndt D. J.","year":"1994","unstructured":"D. J. Berndt and J. Clifford . Using dynamic time warping to find patterns in time series . In AAAIWS , pages 359 -- 370 , 1994 . D. J. Berndt and J. Clifford. Using dynamic time warping to find patterns in time series. In AAAIWS, pages 359--370, 1994."},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.14778\/1453856.1453895"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2010.124"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10115-012-0606-6"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1145\/1066157.1066213"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE.2007.367924"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1145\/2064969.2064971"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.14778\/2350229.2350278"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.14778\/2735461.2735463"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1007\/3-540-63223-9_109"},{"key":"e_1_3_2_1_15_1","first-page":"34","article-title":"Nearest Unlike Neighbor (NUN): An Aid to Decision Confidence Estimation","author":"Dasarathy B.","year":"1995","unstructured":"B. Dasarathy . Nearest Unlike Neighbor (NUN): An Aid to Decision Confidence Estimation . In Optical Engineering 34 , 1995 . B. Dasarathy. Nearest Unlike Neighbor (NUN): An Aid to Decision Confidence Estimation. In Optical Engineering 34, 1995.","journal-title":"Optical Engineering"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.14778\/1454159.1454226"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR.1994.576361"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2005.06.012"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1145\/347090.347189"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1145\/347090.347109"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1109\/MCI.2014.2326100"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1109\/34.862197"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.5555\/645496.657890"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.1999.757470"},{"key":"e_1_3_2_1_25_1","volume-title":"The UCR Time Series Classification\/Clustering Homepage","author":"Keogh E.","year":"2011","unstructured":"E. Keogh , X. Xi , L. Wei , and C. Ratanamahatana . The UCR Time Series Classification\/Clustering Homepage , 2011 . E. Keogh, X. Xi, L. Wei, and C. Ratanamahatana. The UCR Time Series Classification\/Clustering Homepage, 2011."},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.3233\/IDA-150791"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.14778\/1920841.1920893"},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10844-012-0196-5"},{"key":"e_1_3_2_1_29_1","first-page":"539","volume-title":"EDBT","author":"Mirylenka K.","year":"2016","unstructured":"K. Mirylenka , V. Christophides , T. Palpanas , I. Pefkianakis , and M. May . Characterizing home device usage from wireless traffic time series . In EDBT , pages 539 -- 550 , 2016 . K. Mirylenka, V. Christophides, T. Palpanas, I. Pefkianakis, and M. May. Characterizing home device usage from wireless traffic time series. In EDBT, pages 539--550, 2016."},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00778-015-0382-5"},{"key":"e_1_3_2_1_31_1","first-page":"502","volume-title":"Proceedings of the 20th International Conference on Extending Database Technology, EDBT 2017","author":"Mirylenka K.","year":"2017","unstructured":"K. Mirylenka , M. Dallachiesa , and T. Palpanas . Correlation-aware distance measures for data series . In Proceedings of the 20th International Conference on Extending Database Technology, EDBT 2017 , Venice, Italy , March 21-24, 2017 ., pages 502 -- 505 , 2017. K. Mirylenka, M. Dallachiesa, and T. Palpanas. Correlation-aware distance measures for data series. In Proceedings of the 20th International Conference on Extending Database Technology, EDBT 2017, Venice, Italy, March 21-24, 2017., pages 502--505, 2017."},{"key":"e_1_3_2_1_32_1","first-page":"29","volume-title":"Proceedings of AALTD 2016: Second ECML\/PKDD International Workshop on Advanced Analytics and Learning on Temporal Data","author":"Mirylenka K.","year":"2016","unstructured":"K. Mirylenka , C. Miksovic , and P. Scotton . Recurrent neural networks for modeling company-product time series . In Proceedings of AALTD 2016: Second ECML\/PKDD International Workshop on Advanced Analytics and Learning on Temporal Data , pages 29 -- 36 , 2016 . K. Mirylenka, C. Miksovic, and P. Scotton. Recurrent neural networks for modeling company-product time series. In Proceedings of AALTD 2016: Second ECML\/PKDD International Workshop on Advanced Analytics and Learning on Temporal Data, pages 29--36, 2016."},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE.2013.6544898"},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.1109\/51.932724"},{"key":"e_1_3_2_1_35_1","doi-asserted-by":"publisher","DOI":"10.1145\/2814710.2814719"},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-662-49192-8_6"},{"key":"e_1_3_2_1_37_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2006.99"},{"key":"e_1_3_2_1_38_1","volume-title":"D4D Challenge session","author":"Paraskevopoulos P.","year":"2013","unstructured":"P. Paraskevopoulos , T.-C. Dinh , Z. Dashdorj , T. Palpanas , and L. Serafini . Identification and characterization of human behavior patterns from mobile phone data . In D4D Challenge session , NetMob , 2013 . P. Paraskevopoulos, T.-C. Dinh, Z. Dashdorj, T. Palpanas, and L. Serafini. Identification and characterization of human behavior patterns from mobile phone data. In D4D Challenge session, NetMob, 2013."},{"key":"e_1_3_2_1_39_1","doi-asserted-by":"publisher","DOI":"10.1145\/2339530.2339576"},{"key":"e_1_3_2_1_40_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2015.2411594"},{"issue":"2","key":"e_1_3_2_1_41_1","first-page":"40","article-title":"Tuning time series queries in finance: Case studies and recommendations","volume":"22","author":"Shasha D.","year":"1999","unstructured":"D. Shasha . Tuning time series queries in finance: Case studies and recommendations . IEEE Data Eng. Bull. , 22 ( 2 ): 40 -- 46 , 1999 . D. Shasha. Tuning time series queries in finance: Case studies and recommendations. IEEE Data Eng. Bull., 22(2):40--46, 1999.","journal-title":"IEEE Data Eng. Bull."},{"key":"e_1_3_2_1_42_1","doi-asserted-by":"publisher","DOI":"10.1145\/1401890.1401966"},{"key":"e_1_3_2_1_43_1","doi-asserted-by":"publisher","DOI":"10.5555\/519627.790276"},{"key":"e_1_3_2_1_44_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2005.01.025"},{"key":"e_1_3_2_1_45_1","doi-asserted-by":"publisher","DOI":"10.1145\/1557019.1557122"},{"key":"e_1_3_2_1_46_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00778-016-0442-5"},{"key":"e_1_3_2_1_47_1","doi-asserted-by":"publisher","DOI":"10.1145\/2783258.2783382"}],"event":{"name":"SSDBM '17: 29th International Conference on Scientific and Statistical Database Management","location":"Chicago IL USA","acronym":"SSDBM '17","sponsor":["Northwestern University Northwestern University"]},"container-title":["Proceedings of the 29th International Conference on Scientific and Statistical Database Management"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3085504.3085515","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3085504.3085515","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T21:36:57Z","timestamp":1750282617000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3085504.3085515"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,6,27]]},"references-count":47,"alternative-id":["10.1145\/3085504.3085515","10.1145\/3085504"],"URL":"https:\/\/doi.org\/10.1145\/3085504.3085515","relation":{},"subject":[],"published":{"date-parts":[[2017,6,27]]},"assertion":[{"value":"2017-06-27","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}