{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T14:49:18Z","timestamp":1742914158343,"version":"3.40.3"},"publisher-location":"Cham","reference-count":15,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319988085"},{"type":"electronic","value":"9783319988092"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018]]},"DOI":"10.1007\/978-3-319-98809-2_17","type":"book-chapter","created":{"date-parts":[[2018,8,8]],"date-time":"2018-08-08T08:19:34Z","timestamp":1533716374000},"page":"267-282","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["MTSC: An Effective Multiple Time Series Compressing Approach"],"prefix":"10.1007","author":[{"given":"Ningting","family":"Pan","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Peng","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jiaye","family":"Wu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wei","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2018,8,9]]},"reference":[{"key":"17_CR1","unstructured":"UCI machine learning repository (2013). http:\/\/archive.ics.uci.edu\/ml"},{"key":"17_CR2","unstructured":"Climatic Data Center. http:\/\/data.cma.cn\/"},{"key":"17_CR3","unstructured":"Cheng, A., Hawkins, S., Nguyen, L., Monaco, C., Seagrave, G.: Data compression using Chebyshev transform. US Patent App. 10\/633,447 (2004)"},{"key":"17_CR4","doi-asserted-by":"crossref","unstructured":"Deligiannakis, A., Kotidis, Y., Roussopoulos, N.: Compressing historical information in sensor networks. In: SIGMOD 2004, pp. 527\u2013538 (2004)","DOI":"10.1145\/1007568.1007628"},{"issue":"1","key":"17_CR5","doi-asserted-by":"publisher","first-page":"12:1","DOI":"10.1145\/2379776.2379788","volume":"45","author":"P Esling","year":"2012","unstructured":"Esling, P., Agon, C.: Time-series data mining. ACM Comput. Surv. 45(1), 12:1\u201312:34 (2012)","journal-title":"ACM Comput. Surv."},{"key":"17_CR6","doi-asserted-by":"crossref","unstructured":"Gandhi, S., Nath, S., Suri, S., Liu, J.: Gamps: compressing multi sensor data by grouping and amplitude scaling. In: SIGMOD 2009, pp. 771\u2013784 (2009)","DOI":"10.1145\/1559845.1559926"},{"issue":"1","key":"17_CR7","doi-asserted-by":"publisher","first-page":"396","DOI":"10.1145\/1132863.1132873","volume":"31","author":"S Guha","year":"2006","unstructured":"Guha, S., Koudas, N., Shim, K.: Approximation and streaming algorithms for histogram construction problems. TODS 31(1), 396\u2013438 (2006)","journal-title":"TODS"},{"issue":"11","key":"17_CR8","first-page":"1538","volume":"10","author":"C Lu","year":"2017","unstructured":"Lu, C., Yu, J.X., Wei, H., Zhang, Y.: Finding the maximum clique in massive graphs. VLDB 10(11), 1538\u20131549 (2017)","journal-title":"VLDB"},{"key":"17_CR9","doi-asserted-by":"crossref","unstructured":"Luo, G., et al.: Piecewise linear approximation of streaming time series data with max-error guarantees. In: ICDE 2015, pp. 173\u2013184 (2015)","DOI":"10.1109\/ICDE.2015.7113282"},{"issue":"11","key":"17_CR10","first-page":"2434","volume":"25","author":"QVH Nguyen","year":"2013","unstructured":"Nguyen, Q.V.H., Jeung, H., Aberer, K.: An evaluation of model-based approaches to sensor data compression. TKDE 25(11), 2434\u20132447 (2013)","journal-title":"TKDE"},{"issue":"1\u20133","key":"17_CR11","doi-asserted-by":"publisher","first-page":"197","DOI":"10.1016\/S0166-218X(01)00290-6","volume":"120","author":"PRJ \u00d6sterg\u00e5rd","year":"2002","unstructured":"\u00d6sterg\u00e5rd, P.R.J.: A fast algorithm for the maximum clique problem. Discrete Appl. Math. 120(1\u20133), 197\u2013207 (2002)","journal-title":"Discrete Appl. Math."},{"issue":"12","key":"17_CR12","first-page":"1816","volume":"8","author":"T Pelkonen","year":"2015","unstructured":"Pelkonen, T., Franklin, S., Teller, J., Cavallaro, P., Huang, Q., et al.: Gorilla: a fast, scalable, in-memory time series database. VLDB 8(12), 1816\u20131827 (2015)","journal-title":"VLDB"},{"key":"17_CR13","unstructured":"Reiss, C., Wilkes, J., Hellerstein, J.L.: Google cluster-usage traces: format + schema. Technical report, Google Inc. (2011)"},{"key":"17_CR14","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"133","DOI":"10.1007\/978-3-540-69830-2_9","volume-title":"Wireless Sensor Networks","author":"T Dang","year":"2007","unstructured":"Dang, T., Bulusu, N., Feng, W.: RIDA: a robust information-driven data compression architecture for irregular wireless sensor networks. In: Langendoen, K., Voigt, T. (eds.) EWSN 2007. LNCS, vol. 4373, pp. 133\u2013149. Springer, Heidelberg (2007). https:\/\/doi.org\/10.1007\/978-3-540-69830-2_9"},{"issue":"5","key":"17_CR15","doi-asserted-by":"publisher","first-page":"530","DOI":"10.1109\/TIT.1978.1055934","volume":"24","author":"J Ziv","year":"2006","unstructured":"Ziv, J., Lempel, A.: Compression of individual sequences via variable-rate coding. IEEE Trans. Inf. Theor. 24(5), 530\u2013536 (2006)","journal-title":"IEEE Trans. Inf. Theor."}],"container-title":["Lecture Notes in Computer Science","Database and Expert Systems Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-98809-2_17","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,12]],"date-time":"2024-03-12T08:32:32Z","timestamp":1710232352000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-319-98809-2_17"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783319988085","9783319988092"],"references-count":15,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-98809-2_17","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2018]]},"assertion":[{"value":"9 August 2018","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"DEXA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Database and Expert Systems Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Regensburg","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Germany","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2018","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"3 September 2018","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"6 September 2018","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"29","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"dexa2018","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.dexa.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}