{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,3]],"date-time":"2025-12-03T03:28:29Z","timestamp":1764732509927},"reference-count":23,"publisher":"Hindawi Limited","license":[{"start":{"date-parts":[[2012,1,1]],"date-time":"2012-01-01T00:00:00Z","timestamp":1325376000000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/3.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Applied Computational Intelligence and Soft Computing"],"published-print":{"date-parts":[[2012]]},"abstract":"<jats:p>It is important to accurately estimate rainfall for effective use of water resources and optimal planning of water structures. For this purpose, the models were developed to estimate rainfall in Isparta using the data-mining process. The different input combinations having 1-, 2-, 3- and 4-input parameters were tried using the rainfall values of Senirkent, Uluborlu, E\u011firdir, and Yalva\u00e7 stations in Isparta. The most appropriate algorithm was determined as multilinear regression among the models developed with various data-mining algorithms. The input parameters of Multilinear Regression model were the monthly rainfall values of Senirkent, Uluborlu and E\u011firdir stations. The relative error of this model was calculated as 0.7%. It was shown that the data mining process can be used in estimation of missing rainfall values.<\/jats:p>","DOI":"10.1155\/2012\/698071","type":"journal-article","created":{"date-parts":[[2012,8,30]],"date-time":"2012-08-30T21:04:15Z","timestamp":1346360655000},"page":"1-6","source":"Crossref","is-referenced-by-count":8,"title":["Monthly Rainfall Estimation Using Data-Mining Process"],"prefix":"10.1155","volume":"2012","author":[{"given":"\u00d6zlem","family":"Terzi","sequence":"first","affiliation":[{"name":"Faculty of Technical Education, Suleyman Demirel University, 32260 Isparta, Turkey"}]}],"member":"98","reference":[{"key":"1","doi-asserted-by":"publisher","DOI":"10.1016\/S0360-8352(02)00139-0"},{"key":"2","doi-asserted-by":"publisher","DOI":"10.1016\/S0895-7177(00)00272-7"},{"key":"3","doi-asserted-by":"publisher","DOI":"10.1016\/S0925-2312(96)00022-7"},{"key":"4","doi-asserted-by":"publisher","DOI":"10.1016\/j.cageo.2004.12.012"},{"key":"5","doi-asserted-by":"publisher","DOI":"10.1016\/j.jhydrol.2004.06.028"},{"key":"6","doi-asserted-by":"publisher","DOI":"10.1016\/j.jhydrol.2005.02.015"},{"key":"7","doi-asserted-by":"publisher","DOI":"10.1016\/j.jhydrol.2006.10.021"},{"issue":"3","key":"8","first-page":"73","volume":"7","year":"2008","journal-title":"ITU Journal"},{"issue":"5","key":"9","doi-asserted-by":"crossref","first-page":"311","DOI":"10.1016\/S0965-9978(99)00063-0","volume":"31","year":"2000","journal-title":"Advances in Engineering Software"},{"key":"10","doi-asserted-by":"publisher","DOI":"10.1016\/j.jhydrol.2005.03.034"},{"key":"11","doi-asserted-by":"publisher","DOI":"10.1016\/j.jhydrol.2006.09.001"},{"key":"12","doi-asserted-by":"publisher","DOI":"10.2166\/hydro.2007.003"},{"key":"14","doi-asserted-by":"publisher","DOI":"10.1061\/(ASCE)0733-9437(2009)135:1(39)"},{"key":"15","volume-title":"Monthly river flow forecasting by data mining process","year":"2011"},{"issue":"2","key":"16","first-page":"29","volume":"3","year":"2011","journal-title":"SDU International Technologic Science"},{"key":"17","doi-asserted-by":"publisher","DOI":"10.2166\/hydro.2009.009"},{"key":"18","doi-asserted-by":"publisher","DOI":"10.1623\/hysj.48.3.399.45291"},{"key":"19"},{"issue":"5","key":"21","first-page":"26","volume":"11","year":"1996","journal-title":"IEEE Expert-Intelligent Systems and their Applications"},{"issue":"5-6","key":"23","doi-asserted-by":"crossref","first-page":"375","DOI":"10.1080\/713827180","volume":"17","year":"2003","journal-title":"Applied Artificial Intelligence"},{"issue":"3","key":"24","doi-asserted-by":"crossref","first-page":"885","DOI":"10.13031\/2013.23153","volume":"50","year":"2007","journal-title":"Transactions of the ASABE"},{"key":"25","doi-asserted-by":"publisher","DOI":"10.1061\/(ASCE)HE.1943-5584.0000056"},{"issue":"9-10","key":"26","doi-asserted-by":"crossref","first-page":"1047","DOI":"10.1016\/S0895-7177(03)00117-1","volume":"37","year":"2003","journal-title":"Mathematical and Computer Modelling"}],"container-title":["Applied Computational Intelligence and Soft Computing"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/downloads.hindawi.com\/journals\/acisc\/2012\/698071.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/acisc\/2012\/698071.xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/acisc\/2012\/698071.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2017,6,20]],"date-time":"2017-06-20T23:28:45Z","timestamp":1498001325000},"score":1,"resource":{"primary":{"URL":"http:\/\/www.hindawi.com\/journals\/acisc\/2012\/698071\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2012]]},"references-count":23,"alternative-id":["698071","698071"],"URL":"https:\/\/doi.org\/10.1155\/2012\/698071","relation":{},"ISSN":["1687-9724","1687-9732"],"issn-type":[{"value":"1687-9724","type":"print"},{"value":"1687-9732","type":"electronic"}],"subject":[],"published":{"date-parts":[[2012]]}}}