{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,3]],"date-time":"2026-07-03T17:19:27Z","timestamp":1783099167704,"version":"3.54.6"},"reference-count":36,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100002881","name":"Civil Aviation University of China","doi-asserted-by":"publisher","award":["SATS202206"],"award-info":[{"award-number":["SATS202206"]}],"id":[{"id":"10.13039\/501100002881","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["U20B2050"],"award-info":[{"award-number":["U20B2050"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100006579","name":"Ministry of Industry and Information Technology of the People's Republic of China","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100006579","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002855","name":"Ministry of Science and Technology of the People's Republic of China","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100002855","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Information Sciences"],"published-print":{"date-parts":[[2026,10]]},"DOI":"10.1016\/j.ins.2026.123710","type":"journal-article","created":{"date-parts":[[2026,5,30]],"date-time":"2026-05-30T15:22:48Z","timestamp":1780154568000},"page":"123710","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["ACTSD: An adaptive compression algorithm for multi-dimensional time series data"],"prefix":"10.1016","volume":"754","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4903-2666","authenticated-orcid":false,"given":"Liang","family":"Liu","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ziyi","family":"Zheng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Haolong","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wenjing","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Keyue","family":"Yang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"issue":"12","key":"10.1016\/j.ins.2026.123710_bib0010","doi-asserted-by":"crossref","first-page":"2901","DOI":"10.14778\/3415478.3415504","article-title":"Apache IoTDB: time-series database for internet of things","volume":"13","author":"Wang","year":"2020","journal-title":"Proc. VLDB Endow."},{"issue":"12","key":"10.1016\/j.ins.2026.123710_bib0020","doi-asserted-by":"crossref","first-page":"1816","DOI":"10.14778\/2824032.2824078","article-title":"Gorilla: a fast, scalable, in-memory time series database","volume":"8","author":"Pelkonen","year":"2015","journal-title":"Proc. VLDB Endow."},{"issue":"11","key":"10.1016\/j.ins.2026.123710_bib0025","doi-asserted-by":"crossref","first-page":"3058","DOI":"10.14778\/3551793.3551852","article-title":"Chimp: efficient lossless floating point compression for time series databases","volume":"15","author":"Liakos","year":"2022","journal-title":"Proc. VLDB Endow."},{"issue":"7","key":"10.1016\/j.ins.2026.123710_bib0030","doi-asserted-by":"crossref","first-page":"1763","DOI":"10.14778\/3587136.3587149","article-title":"Elf: erasing-based lossless floating-point compression","volume":"16","author":"Li","year":"2023","journal-title":"Proc. VLDB Endow."},{"key":"10.1016\/j.ins.2026.123710_bib0035","author":"Collet"},{"key":"10.1016\/j.ins.2026.123710_bib0040","series-title":"2024 IEEE 40th International Conference on Data Engineering (ICDE)","first-page":"1506","article-title":"AdaEdge: a dynamic compression selection framework for resource constrained devices","author":"Liu","year":"2024"},{"key":"10.1016\/j.ins.2026.123710_bib0045","series-title":"Proceedings of the 2014 ACM SIGMOD International Conference on Management of Data","first-page":"157","article-title":"Druid: a real-time analytical data store","author":"Yang","year":"2014"},{"key":"10.1016\/j.ins.2026.123710_bib0050","series-title":"Geospatial Informatics, Fusion, and Motion Video Analytics V, 9473","first-page":"128","article-title":"Geomesa: a distributed architecture for spatio-temporal fusion","author":"Hughes","year":"2015"},{"key":"10.1016\/j.ins.2026.123710_bib0055","series-title":"2020 IEEE 36th International Conference on Data Engineering (ICDE)","first-page":"2002","article-title":"Trajmesa: a distributed nosql storage engine for big trajectory data","author":"Li","year":"2020"},{"key":"10.1016\/j.ins.2026.123710_bib0060","series-title":"EDBT","first-page":"72","article-title":"Lightweight data compression algorithms: an experimental survey (experiments and analyses)","author":"Damme","year":"2017"},{"key":"10.1016\/j.ins.2026.123710_bib0075","doi-asserted-by":"crossref","first-page":"193","DOI":"10.1007\/s00778-014-0368-8","article-title":"A time-series compression technique and its application to the smart grid","volume":"24","author":"Eichinger","year":"2015","journal-title":"VLDB J."},{"key":"10.1016\/j.ins.2026.123710_bib0080","doi-asserted-by":"crossref","first-page":"43764","DOI":"10.1109\/ACCESS.2020.2976494","article-title":"Fast piecewise polynomial fitting of time-series data for streaming computing","volume":"8","author":"Gao","year":"2020","journal-title":"IEEE Access"},{"issue":"8","key":"10.1016\/j.ins.2026.123710_bib0085","doi-asserted-by":"crossref","first-page":"1910","DOI":"10.14778\/3594512.3594521","article-title":"Sim-piece: highly accurate piecewise linear approximation through similar segment merging","volume":"16","author":"Kitsios","year":"2023","journal-title":"Proc. VLDB Endow."},{"issue":"5","key":"10.1016\/j.ins.2026.123710_bib0090","doi-asserted-by":"crossref","first-page":"1569","DOI":"10.1007\/s00778-024-00862-z","article-title":"Flexible grouping of linear segments for highly accurate lossy compression of time series data","volume":"33","author":"Kitsios","year":"2024","journal-title":"VLDB J."},{"issue":"1","key":"10.1016\/j.ins.2026.123710_bib0095","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3588953","article-title":"Hierarchical residual encoding for multiresolution time series compression","volume":"1","author":"Barbarioli","year":"2023","journal-title":"Proc. ACM Manag. Data"},{"key":"10.1016\/j.ins.2026.123710_bib0100","series-title":"2021 Data Compression Conference (DCC)","first-page":"153","article-title":"DZip: improved general-purpose loss less compression based on novel neural network modeling","author":"Goyal","year":"2021"},{"key":"10.1016\/j.ins.2026.123710_bib0105","series-title":"2020 Data Compression Conference (DCC)","first-page":"342","article-title":"LFZip: lossy compression of multivariate floating-point time series data via improved prediction","author":"Chandak","year":"2020"},{"key":"10.1016\/j.ins.2026.123710_bib0110","series-title":"2024 Data Compression Conference (DCC)","first-page":"532","article-title":"Machete: an efficient lossy floating-point compressor designed for time series databases","author":"Shi","year":"2024"},{"key":"10.1016\/j.ins.2026.123710_bib0115","series-title":"Proceedings of the ACM SIGMOD International Conference on Management of Data","article-title":"SERF: streaming error-bounded floating-point compression","author":"Li","year":"2025"},{"issue":"9","key":"10.1016\/j.ins.2026.123710_bib0120","doi-asserted-by":"crossref","first-page":"2132","DOI":"10.14778\/3598581.3598587","article-title":"The fastlanes compression layout: decoding> 100 billion integers per second with scalar code","volume":"16","author":"Afroozeh","year":"2023","journal-title":"Proc. VLDB Endow."},{"key":"10.1016\/j.ins.2026.123710_bib0125","series-title":"Snappy: A Fast Compressor\/Decompressor","author":"Gunderson","year":"2015"},{"key":"10.1016\/j.ins.2026.123710_bib0130","series-title":"Zstandard-Fast Real-Time Compression Algorithm","author":"Collet","year":"2018"},{"key":"10.1016\/j.ins.2026.123710_bib0135","series-title":"Lz4: Extremely Fast Compression Algorithm","author":"Collet","year":"2013"},{"issue":"2","key":"10.1016\/j.ins.2026.123710_bib0140","doi-asserted-by":"crossref","DOI":"10.1145\/3589263","article-title":"BtrBlocks: efficient columnar compression for data lakes","volume":"1","author":"Kuschewski","year":"2023","journal-title":"Proc. ACM Manag. Data"},{"issue":"6","key":"10.1016\/j.ins.2026.123710_bib0145","doi-asserted-by":"crossref","DOI":"10.1145\/3698802","article-title":"Camel: efficient compression of floating-point time series","volume":"2","author":"Yao","year":"2024","journal-title":"Proc. ACM Manag. Data"},{"key":"10.1016\/j.ins.2026.123710_bib0150","author":"Lv"},{"key":"10.1016\/j.ins.2026.123710_bib0155","series-title":"2024 IEEE 40th International Conference on Data Engineering (ICDE)","first-page":"1242","article-title":"REGER: reordering time series data for regression encoding","author":"Xiao","year":"2024"},{"key":"10.1016\/j.ins.2026.123710_bib0160","series-title":"2021 4th International Conference on Geoinformatics and Data Analysis","first-page":"7","article-title":"Real-time spatial-temporal database for geographic polygon data using HD-map","author":"Isomura","year":"2021"},{"key":"10.1016\/j.ins.2026.123710_bib0165","series-title":"2020 IEEE 36th International Conference on Data Engineering (ICDE)","first-page":"1558","article-title":"Just: jd urban spatio-temporal data engine","author":"Li","year":"2020"},{"key":"10.1016\/j.ins.2026.123710_bib0175","doi-asserted-by":"crossref","DOI":"10.1016\/j.ins.2023.119847","article-title":"AFC: an adaptive lossless floating-point compression algorithm in time series database","volume":"654","author":"Chen","year":"2024","journal-title":"Inf. Sci."},{"key":"10.1016\/j.ins.2026.123710_bib0180","unstructured":"Data source: DiDi Chuxing GAIA open dataset initiative, https:\/\/github.com\/Whale2021\/Dataset"},{"key":"10.1016\/j.ins.2026.123710_bib0185","author":"Zheng"},{"key":"10.1016\/j.ins.2026.123710_bib0190","series-title":"Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining","first-page":"316","article-title":"Driving with knowledge from the physical world","author":"Yuan","year":"2011"},{"key":"10.1016\/j.ins.2026.123710_bib0195","series-title":"Proceedings of the 18th SIGSPATIAL International Conference on Advances in Geographic Information Systems","first-page":"99","article-title":"T-drive: driving directions based on taxi trajectories","author":"Yuan","year":"2010"},{"key":"10.1016\/j.ins.2026.123710_bib0200","author":"Patrikar"},{"key":"10.1016\/j.ins.2026.123710_bib0210","author":"Huerta"}],"container-title":["Information Sciences"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0020025526006419?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0020025526006419?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,7,3]],"date-time":"2026-07-03T16:28:14Z","timestamp":1783096094000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0020025526006419"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,10]]},"references-count":36,"alternative-id":["S0020025526006419"],"URL":"https:\/\/doi.org\/10.1016\/j.ins.2026.123710","relation":{},"ISSN":["0020-0255"],"issn-type":[{"value":"0020-0255","type":"print"}],"subject":[],"published":{"date-parts":[[2026,10]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"ACTSD: An adaptive compression algorithm for multi-dimensional time series data","name":"articletitle","label":"Article Title"},{"value":"Information Sciences","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.ins.2026.123710","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Elsevier Inc. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"123710"}}