{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,21]],"date-time":"2025-11-21T11:25:38Z","timestamp":1763724338371,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":25,"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"}],"funder":[{"DOI":"10.13039\/501100007601","name":"Horizon 2020","doi-asserted-by":"publisher","award":["731232"],"award-info":[{"award-number":["731232"]}],"id":[{"id":"10.13039\/501100007601","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2017,6,27]]},"DOI":"10.1145\/3085504.3085507","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":10,"title":["Generating What-If Scenarios for Time Series Data"],"prefix":"10.1145","author":[{"given":"Lars","family":"Kegel","sequence":"first","affiliation":[{"name":"Technische Universit\u00e4t Dresden, Dresden, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Martin","family":"Hahmann","sequence":"additional","affiliation":[{"name":"Technische Universit\u00e4t Dresden, Dresden, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wolfgang","family":"Lehner","sequence":"additional","affiliation":[{"name":"Technische Universit\u00e4t Dresden, Dresden, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2017,6,27]]},"reference":[{"unstructured":"X-13ARIMA-SEATS Reference Manual V1.1. http:\/\/www.census.gov\/ts\/x13as\/docX13ASHTML.pdf  X-13ARIMA-SEATS Reference Manual V1.1. http:\/\/www.census.gov\/ts\/x13as\/docX13ASHTML.pdf","key":"e_1_3_2_1_1_1"},{"key":"e_1_3_2_1_2_1","volume-title":"Proc. of VLDB. 220--231","author":"Balmin Andrey","year":"2000","unstructured":"Andrey Balmin , Thanos Papadimitriou , and Yannis Papakonstantinou . 2000 . Hypothetical Queries in an OLAP Environment . In Proc. of VLDB. 220--231 . Andrey Balmin, Thanos Papadimitriou, and Yannis Papakonstantinou. 2000. Hypothetical Queries in an OLAP Environment. In Proc. of VLDB. 220--231."},{"key":"e_1_3_2_1_3_1","first-page":"3","article-title":"STL: A Seasonal-Trend Decomposition Procedure Based on Loess","volume":"6","author":"Cleveland R. B.","year":"1990","unstructured":"R. B. Cleveland , W. S. Cleveland , J. E. McRae , and I. Terpenning . 1990 . STL: A Seasonal-Trend Decomposition Procedure Based on Loess . J. Off. Stat. 6 , 1 (1990), 3 -- 73 . R. B. Cleveland, W. S. Cleveland, J. E. McRae, and I. Terpenning. 1990. STL: A Seasonal-Trend Decomposition Procedure Based on Loess. J. Off. Stat. 6, 1 (1990), 3--73.","journal-title":"J. Off. Stat."},{"unstructured":"Estella Bee Dagum. 1980. The X-11-ARIMA seasonal adjustment method. Statistics Canada.  Estella Bee Dagum. 1980. The X-11-ARIMA seasonal adjustment method. Statistics Canada.","key":"e_1_3_2_1_4_1"},{"key":"e_1_3_2_1_5_1","first-page":"4","article-title":"Business Analytics: The Next Frontier for Decision Sciences","volume":"43","author":"Evans James R.","year":"2012","unstructured":"James R. Evans and Carl H. Lindner . 2012 . Business Analytics: The Next Frontier for Decision Sciences . Decision Line 43 , 2 (2012), 4 -- 6 . James R. Evans and Carl H. Lindner. 2012. Business Analytics: The Next Frontier for Decision Sciences. Decision Line 43, 2 (2012), 4--6.","journal-title":"Decision Line"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_7_1","DOI":"10.1016\/j.ijforecast.2015.12.001"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_8_1","DOI":"10.1007\/s00287-014-0852-y"},{"unstructured":"R. J. Hyndman and G. Athansopoulos. 2013. Forecasting: principles and practice. OTexts.  R. J. Hyndman and G. Athansopoulos. 2013. Forecasting: principles and practice. OTexts.","key":"e_1_3_2_1_9_1"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_10_1","DOI":"10.1016\/j.ijforecast.2016.09.004"},{"key":"e_1_3_2_1_11_1","volume-title":"Workshops Proc. of EDBT\/ICDT.","author":"Kegel Lars","year":"2016","unstructured":"Lars Kegel , Martin Hahmann , and Wolfgang Lehner . 2016 . Template-based Time series generation with Loom . In Workshops Proc. of EDBT\/ICDT. Lars Kegel, Martin Hahmann, and Wolfgang Lehner. 2016. Template-based Time series generation with Loom. In Workshops Proc. of EDBT\/ICDT."},{"unstructured":"M. Kendall and A. Stuart. 1983. The Advanced Theory of Statistics. Vol. 3. Griffin 410--414.  M. Kendall and A. Stuart. 1983. The Advanced Theory of Statistics. Vol. 3. Griffin 410--414.","key":"e_1_3_2_1_12_1"},{"unstructured":"Maurice G. Kendall. 1948. Rank correlation methods. Griffin.  Maurice G. Kendall. 1948. Rank correlation methods. Griffin.","key":"e_1_3_2_1_13_1"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_14_1","DOI":"10.1016\/S0169-2070(00)00057-1"},{"unstructured":"Oracle. 2003. SQL for Modeling. docs.oracle.com  Oracle. 2003. SQL for Modeling. docs.oracle.com","key":"e_1_3_2_1_15_1"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_16_1","DOI":"10.1214\/aoms\/1177704472"},{"key":"e_1_3_2_1_17_1","volume-title":"R: A Language and Environment for Statistical Computing","author":"Team R Core","year":"2016","unstructured":"R Core Team . 2016 . R: A Language and Environment for Statistical Computing . R Foundation for Statistical Computing , Vienna, Austria . https:\/\/www.R-project.org\/ R Core Team. 2016. R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria. https:\/\/www.R-project.org\/"},{"volume-title":"What-If Analysis","author":"Rizzi Stefano","unstructured":"Stefano Rizzi . 2009. What-If Analysis . Springer US , 3525--3529. Stefano Rizzi. 2009. What-If Analysis. Springer US, 3525--3529.","key":"e_1_3_2_1_18_1"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_19_1","DOI":"10.1214\/aoms\/1177728190"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_20_1","DOI":"10.4204\/EPTCS.200.5"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_21_1","DOI":"10.1109\/ICDEW.2013.6547423"},{"doi-asserted-by":"crossref","unstructured":"Roland Schuhr. 2012. Prognoserechnung. Physica-Verlag Chapter Einf\u00fchrung in die Prognose saisonaler Zeitreihen mithilfe exponentieller Gl\u00e4ttungstechniken 47--73.  Roland Schuhr. 2012. Prognoserechnung. Physica-Verlag Chapter Einf\u00fchrung in die Prognose saisonaler Zeitreihen mithilfe exponentieller Gl\u00e4ttungstechniken 47--73.","key":"e_1_3_2_1_22_1","DOI":"10.1007\/978-3-7908-2797-2_3"},{"key":"e_1_3_2_1_23_1","volume-title":"Stoffer","author":"Shumway Robert H.","year":"2011","unstructured":"Robert H. Shumway and David S . Stoffer . 2011 . Time Series Analysis and Its Applications. Springer . Robert H. Shumway and David S. Stoffer. 2011. Time Series Analysis and Its Applications. Springer."},{"unstructured":"The Commission for Energy Regulation. 2015. CER Smart Metering Project. (2015). www.ucd.ie\/issda  The Commission for Energy Regulation. 2015. CER Smart Metering Project. (2015). www.ucd.ie\/issda","key":"e_1_3_2_1_24_1"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_25_1","DOI":"10.1016\/j.ijforecast.2010.11.002"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_27_1","DOI":"10.1007\/s10618-005-0039-x"}],"event":{"sponsor":["Northwestern University Northwestern University"],"acronym":"SSDBM '17","name":"SSDBM '17: 29th International Conference on Scientific and Statistical Database Management","location":"Chicago IL USA"},"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\/3085504.3085507","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3085504.3085507","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\/3085504.3085507"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,6,27]]},"references-count":25,"alternative-id":["10.1145\/3085504.3085507","10.1145\/3085504"],"URL":"https:\/\/doi.org\/10.1145\/3085504.3085507","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"}}]}}