{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,8]],"date-time":"2026-02-08T15:23:51Z","timestamp":1770564231087,"version":"3.49.0"},"publisher-location":"New York, NY, USA","reference-count":33,"publisher":"ACM","license":[{"start":{"date-parts":[[2019,10,2]],"date-time":"2019-10-02T00:00:00Z","timestamp":1569974400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"Origin Enterprises"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2019,10,2]]},"DOI":"10.1145\/3368756.3368974","type":"proceedings-article","created":{"date-parts":[[2019,12,18]],"date-time":"2019-12-18T13:21:21Z","timestamp":1576675281000},"page":"1-8","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":13,"title":["Collection of historical weather data"],"prefix":"10.1145","author":[{"given":"Fadoua","family":"Rafii","sequence":"first","affiliation":[{"name":"University College Dublin, Belfield, Dublin, Ireland"}]},{"given":"Tahar","family":"Kechadi","sequence":"additional","affiliation":[{"name":"University College Dublin, Belfield, Dublin, Ireland"}]}],"member":"320","published-online":{"date-parts":[[2019,10,2]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1175\/JCLI-D-18-0094.1"},{"key":"e_1_3_2_1_2_1","unstructured":"Paltasingh K.R. Goyari P. Mishra R.K. 2012. Measuring Weather Impact on Crop Yield Using Aridity Index: Evidence from Odisha 25 12.  Paltasingh K.R. Goyari P. Mishra R.K. 2012. Measuring Weather Impact on Crop Yield Using Aridity Index: Evidence from Odisha 25 12."},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.gfs.2014.11.003"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.agrformet.2017.03.019"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1038\/ncomms6989"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.compenvurbsys.2012.08.005"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2016.07.041"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1049\/cp:20060659"},{"key":"e_1_3_2_1_9_1","first-page":"378","article-title":"A Comparison of Several Approaches to Missing Attribute Values in Data Mining","volume":"2005","author":"Jerzy W.","year":"2001","unstructured":"Jerzy W. Grzymala-Busse and Mfing Hu. 2001 . A Comparison of Several Approaches to Missing Attribute Values in Data Mining , LNAJ 2005 , 378 -- 385 . Jerzy W. Grzymala-Busse and Mfing Hu. 2001. A Comparison of Several Approaches to Missing Attribute Values in Data Mining, LNAJ 2005, 378--385.","journal-title":"LNAJ"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1100\/2012\/405675"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1100\/2012\/525827"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.wace.2015.08.001"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10021-009-9264-2"},{"key":"e_1_3_2_1_14_1","first-page":"3","article-title":"Analysis of Rainfall Data for Drought Investigation at Agra U.P","volume":"2014","author":"Kant","year":"2014","unstructured":"Kant , Shri, Sumeet Meshram , and K C Sahu . 2014 . Analysis of Rainfall Data for Drought Investigation at Agra U.P . Recent Research in Science and Technology , 2014 , 3 . Kant, Shri, Sumeet Meshram, and K C Sahu. 2014. Analysis of Rainfall Data for Drought Investigation at Agra U.P. Recent Research in Science and Technology, 2014, 3.","journal-title":"Recent Research in Science and Technology"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1175\/JCLI-D-14-00237.1"},{"key":"e_1_3_2_1_16_1","volume-title":"Rong-Gang and Mark Brady","author":"Cong","year":"2012","unstructured":"Cong , Rong-Gang and Mark Brady . 2012 . The Interdependence between Rainfall and Temperature: Copula Analyses, The Scientific World Journal : 1--11 Cong, Rong-Gang and Mark Brady. 2012. The Interdependence between Rainfall and Temperature: Copula Analyses, The Scientific World Journal: 1--11"},{"issue":"1","key":"e_1_3_2_1_17_1","first-page":"45","article-title":"Multi-Context Recurrent neural network for time series applications","volume":"3","author":"Huang","year":"2006","unstructured":"BQ Huang , Tarik Rashid, MT Kechadi . 2006 . Multi-Context Recurrent neural network for time series applications : International Journal of Computational Intelligence , 3 ( 1 ): 45 -- 55 . BQ Huang, Tarik Rashid, MT Kechadi. 2006. Multi-Context Recurrent neural network for time series applications: International Journal of Computational Intelligence, 3(1): 45--55.","journal-title":"International Journal of Computational Intelligence"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.4038\/jas.v3i2.8107"},{"key":"e_1_3_2_1_19_1","volume-title":"Md. Mahfuzur Rahman, Md. Morshadur Rahman, Md. Sanaul Haque Mondal and M. Ataharul Islam.","author":"Jahan","year":"2018","unstructured":"Jahan , Farzana , Narayan Chandra Sinha , Md. Mahfuzur Rahman, Md. Morshadur Rahman, Md. Sanaul Haque Mondal and M. Ataharul Islam. 2018 . Comparison of Missing Value Estimation Techniques in Rainfall Data of Bangladesh. Theoretical and Applied Climatology, June 22. Jahan, Farzana, Narayan Chandra Sinha, Md. Mahfuzur Rahman, Md. Morshadur Rahman, Md. Sanaul Haque Mondal and M. Ataharul Islam. 2018. Comparison of Missing Value Estimation Techniques in Rainfall Data of Bangladesh. Theoretical and Applied Climatology, June 22."},{"issue":"2","key":"e_1_3_2_1_20_1","first-page":"93","article-title":"Revised spatial weighting methods for estimation of missing rainfall data","volume":"44","author":"Suhalia J","year":"2008","unstructured":"Suhalia J , Sayang MD , Jemain AA. 2008 . Revised spatial weighting methods for estimation of missing rainfall data . Asia-Pac J Atmos Sci 44 ( 2 ): 93 -- 10 . Suhalia J, Sayang MD, Jemain AA. 2008. Revised spatial weighting methods for estimation of missing rainfall data. Asia-Pac J Atmos Sci 44(2):93--10.","journal-title":"Asia-Pac J Atmos Sci"},{"key":"e_1_3_2_1_21_1","first-page":"101","article-title":"A comparison of methods used in estimating missing rainfall data","volume":"3","author":"Silva RP","year":"2007","unstructured":"Silva RP , Dayawansa NDK , Ratnasiri MD. 2007 . A comparison of methods used in estimating missing rainfall data . J Agric Sci 3 ( May ): 101 -- 108 . Silva RP, Dayawansa NDK, Ratnasiri MD. 2007. A comparison of methods used in estimating missing rainfall data. J Agric Sci 3(May):101--108.","journal-title":"J Agric Sci"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.2166\/nh.2016.364"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1126\/science.aam8328"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1175\/JAMC-D-16-0188.1"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.agrformet.2006.07.004"},{"key":"e_1_3_2_1_26_1","volume-title":"Proceedings of the Ninth Australasian Data Mining Conference, Ballarat, 41--50","author":"Rahman M.G.","unstructured":"Rahman , M.G. and Islam , M.Z . 2011. A Decision Tree Based Missing Value Imputation Technique for Data Preprocessing . Proceedings of the Ninth Australasian Data Mining Conference, Ballarat, 41--50 . Rahman, M.G. and Islam, M.Z. 2011. A Decision Tree Based Missing Value Imputation Technique for Data Preprocessing. Proceedings of the Ninth Australasian Data Mining Conference, Ballarat, 41--50."},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.4038\/jas.v3i2.8107"},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00704-012-0723-x"},{"key":"e_1_3_2_1_29_1","first-page":"83","volume-title":"Sayang Mohad Deni and Norazan Mohamed Ramli","author":"Siti Nur Zahrah Amin","year":"2016","unstructured":"Siti Nur Zahrah Amin Burhanuddin , Sayang Mohad Deni and Norazan Mohamed Ramli . 2016 . Revised Normal Ratio Methods for Imputation of Missing Rainfall Data. Scientific research journal, Institute of Research Managements Innovation (IRMI) , vol. 13 , No.1, page 83 , June 2016. Siti Nur Zahrah Amin Burhanuddin, Sayang Mohad Deni and Norazan Mohamed Ramli. 2016. Revised Normal Ratio Methods for Imputation of Missing Rainfall Data. Scientific research journal, Institute of Research Managements Innovation (IRMI), vol.13, No.1, page 83, June 2016."},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.21660\/2017.36.2760"},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1080\/02827580902870490"},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jhydrol.2014.08.025"},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.1002\/met.1699"}],"event":{"name":"SCA2019: The Fourth International Conference on Smart City Applications","location":"Casablanca Morocco","acronym":"SCA2019"},"container-title":["Proceedings of the 4th International Conference on Smart City Applications"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3368756.3368974","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3368756.3368974","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T23:23:26Z","timestamp":1750202606000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3368756.3368974"}},"subtitle":["issues with missing values"],"short-title":[],"issued":{"date-parts":[[2019,10,2]]},"references-count":33,"alternative-id":["10.1145\/3368756.3368974","10.1145\/3368756"],"URL":"https:\/\/doi.org\/10.1145\/3368756.3368974","relation":{},"subject":[],"published":{"date-parts":[[2019,10,2]]},"assertion":[{"value":"2019-10-02","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}