{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T04:59:35Z","timestamp":1755838775259,"version":"3.28.0"},"reference-count":42,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018,12]]},"DOI":"10.1109\/bigdata.2018.8622293","type":"proceedings-article","created":{"date-parts":[[2019,1,25]],"date-time":"2019-01-25T03:07:18Z","timestamp":1548385638000},"page":"791-800","source":"Crossref","is-referenced-by-count":24,"title":["ParIS: The Next Destination for Fast Data Series Indexing and Query Answering"],"prefix":"10.1109","author":[{"given":"Botao","family":"Peng","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Panagiota","family":"Fatourou","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Themis","family":"Palpanas","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE.2015.7113368"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/PARELEC.2006.54"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1145\/971697.602266"},{"key":"ref32","first-page":"546","article-title":"Hierarchyscan: A hierarchical similarity search algorithm for databases of long sequences","author":"li","year":"1996","journal-title":"ICDE"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1145\/2020408.2020607"},{"journal-title":"Source code and datasets used in this paper","year":"2018","key":"ref30"},{"key":"ref37","article-title":"Adapting tree structures for processing with SIMD instructions","author":"zeuch","year":"2014","journal-title":"EDBT"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1145\/564708.564709"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CLUSTER.2011.86"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1145\/1352431.1352464"},{"key":"ref10","article-title":"Ulisse: Ultra compact index for variable-length similarity search in data series","author":"linardi","year":"2018","journal-title":"ICDE"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2015.2500896"},{"key":"ref11","article-title":"Scalable, variable-length similarity search in data series: The ulisse approach","author":"linardi","year":"2019","journal-title":"PVLDB"},{"key":"ref12","article-title":"Massively distributed time series indexing and querying","author":"yagoubi","year":"2018","journal-title":"TKDE (to appear)"},{"key":"ref13","article-title":"The lernaean hydra of data series similarity search: An experimental evaluation of the state of the art","author":"echihabi","year":"2019","journal-title":"PVLDB"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/HPCC.and.EUC.2013.50"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.14778\/2824032.2824142"},{"key":"ref16","article-title":"The parallel and distributed future of data series mining","author":"palpanas","year":"2017","journal-title":"HPCS"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2011.146"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/s10618-009-0125-6"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1145\/1541880.1541882"},{"journal-title":"Incorporated Research Institutions for Seismology – Seismic Data Access","year":"2016","key":"ref28"},{"key":"ref4","article-title":"i sax: indexing and mining terabyte sized time series","author":"shieh","year":"2008","journal-title":"SIGKDD"},{"key":"ref27","article-title":"Fast time sequence indexing for arbitrary lp norms","author":"yi","year":"2000","journal-title":"VLDB"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/s00778-016-0442-5"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.14778\/2536206.2536208"},{"journal-title":"Southwest university adult lifespan dataset (sald)","year":"2018","key":"ref29"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/2339530.2339576"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2017.151"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/s10115-012-0606-6"},{"key":"ref2","article-title":"Data series management: Fulfilling the need for big sequence analytics","author":"zoumpatianos","year":"2018","journal-title":"ICDE"},{"key":"ref9","first-page":"677","article-title":"Coconut: A scalable bottom-up approach for building data series indexes","volume":"11","author":"kondylakis","year":"2018","journal-title":"PVLDB"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1145\/2814710.2814719"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/s10618-010-0176-8"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1145\/1807167.1807188"},{"key":"ref21","article-title":"Efficient similarity search in sequence databases","author":"agrawal","year":"1993","journal-title":"FODO"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1145\/2588555.2595635"},{"key":"ref24","article-title":"Exploit every cycle: Vectorized time series algorithms on modern commodity cpus","author":"tang","year":"2016","journal-title":"IMDM"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2014.52"},{"key":"ref23","article-title":"Introduction to intel advanced vector extensions","author":"lomont","year":"2011","journal-title":"Intel White Paper"},{"journal-title":"Intel 64 and IA-32 Architectures Optimization Reference Manual","year":"2016","key":"ref26"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/PL00011669"}],"event":{"name":"2018 IEEE International Conference on Big Data (Big Data)","start":{"date-parts":[[2018,12,10]]},"location":"Seattle, WA, USA","end":{"date-parts":[[2018,12,13]]}},"container-title":["2018 IEEE International Conference on Big Data (Big Data)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8610059\/8621858\/08622293.pdf?arnumber=8622293","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,26]],"date-time":"2022-01-26T23:26:47Z","timestamp":1643239607000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8622293\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,12]]},"references-count":42,"URL":"https:\/\/doi.org\/10.1109\/bigdata.2018.8622293","relation":{},"subject":[],"published":{"date-parts":[[2018,12]]}}}