{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,9]],"date-time":"2024-09-09T18:13:30Z","timestamp":1725905610320},"publisher-location":"Singapore","reference-count":11,"publisher":"Springer Singapore","isbn-type":[{"type":"print","value":"9789811054266"},{"type":"electronic","value":"9789811054273"}],"license":[{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017]]},"DOI":"10.1007\/978-981-10-5427-3_58","type":"book-chapter","created":{"date-parts":[[2017,7,21]],"date-time":"2017-07-21T05:43:15Z","timestamp":1500615795000},"page":"572-576","source":"Crossref","is-referenced-by-count":0,"title":["Comparative Study of Classification Techniques for Weather Data"],"prefix":"10.1007","author":[{"given":"Shweta","family":"Panjwani","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"S.","family":"Naresh Kumar","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Laxmi","family":"Ahuja","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2017,7,22]]},"reference":[{"issue":"5","key":"58_CR1","doi-asserted-by":"crossref","first-page":"607","DOI":"10.1016\/j.cageo.2004.11.009","volume":"31","author":"J Rushing","year":"2005","unstructured":"Rushing, J., Ramachandran, R., Nair, U., Graves, S., Welch, R., Lin, H.: ADaM: a data mining toolkit for scientists and engineers. Comput. Geosci. 31(5), 607\u2013618 (2005)","journal-title":"Comput. Geosci."},{"issue":"3","key":"58_CR2","first-page":"106","volume":"11","author":"A Abraham","year":"2004","unstructured":"Abraham, A., Philip, N.S., Mahanti, P.K.: Soft computing models for weather forecasting. Int. J. Appl. Sci. Comput. 11(3), 106\u2013117 (2004)","journal-title":"Int. J. Appl. Sci. Comput."},{"issue":"1","key":"58_CR3","first-page":"16","volume":"1","author":"S Kotsiantis","year":"2008","unstructured":"Kotsiantis, S., Kostoulas, A., Lykoudis, S., Argiriou, A., Menagias, K.: Using data mining techniques for estimating minimum, maximum and average daily temperature values. Int. J. Math. Phys. Eng. Sci. 1(1), 16\u201320 (2008)","journal-title":"Int. J. Math. Phys. Eng. Sci."},{"issue":"2","key":"58_CR4","first-page":"275","volume":"28","author":"M Hayati","year":"2007","unstructured":"Hayati, M., Mohebi, Z.: Application of artificial neural networks for temperature forecasting. World Acad. Sci. Eng. Technol. 28(2), 275\u2013279 (2007)","journal-title":"World Acad. Sci. Eng. Technol."},{"issue":"2\u20133","key":"58_CR5","doi-asserted-by":"crossref","first-page":"131","DOI":"10.1023\/A:1007465528199","volume":"29","author":"N Friedman","year":"1997","unstructured":"Friedman, N., Geiger, D., Goldszmidt, M.: Bayesian network classifiers. Mach. Learn. 29(2\u20133), 131\u2013163 (1997)","journal-title":"Mach. Learn."},{"key":"58_CR6","volume-title":"Fundamentals of Artificial Neural Networks","author":"MH Hassoun","year":"1999","unstructured":"Hassoun, M.H.: Fundamentals of Artificial Neural Networks. MIT Press, Cambridge (1999)"},{"issue":"2","key":"58_CR7","first-page":"764","volume":"6","author":"V Vaithiyanathan","year":"2013","unstructured":"Vaithiyanathan, V., Rajeswari, K., Tajane, K., Pitale, R.: Comparison of different classification techniques using different datasets. Int. J. Adv. Eng. Technol. 6(2), 764 (2013)","journal-title":"Int. J. Adv. Eng. Technol."},{"issue":"4","key":"58_CR8","first-page":"5857","volume":"5","author":"AV Solanki","year":"2014","unstructured":"Solanki, A.V.: Data mining techniques using WEKA classification for Sickle Cell Disease. Int. J. Comput. Sci. Inf. Technol. 5(4), 5857\u20135860 (2014)","journal-title":"Int. J. Comput. Sci. Inf. Technol."},{"key":"58_CR9","unstructured":"Weka. \nhttp:\/\/www.cs.waikato.ac.nz\/ml\/weka\/documentation.html"},{"issue":"5","key":"58_CR10","first-page":"1101","volume":"1","author":"SR Dash","year":"2013","unstructured":"Dash, S.R., Dehuri, S.: Comparative study of different classification techniques for post operative patient dataset. Int. J. Innov. Res. Comput.Commun. Eng. 1(5), 1101\u20131108 (2013)","journal-title":"Int. J. Innov. Res. Comput.Commun. Eng."},{"key":"58_CR11","unstructured":"Data Mining - Typical Data Mining Process for Predictive Modeling. BPB Publications, First Edition 2004 \u2013REPRINTED 2007. ISBN 81-7656-927-5"}],"container-title":["Communications in Computer and Information Science","Advances in Computing and Data Sciences"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-10-5427-3_58","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2017,7,21]],"date-time":"2017-07-21T06:03:43Z","timestamp":1500617023000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-981-10-5427-3_58"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"ISBN":["9789811054266","9789811054273"],"references-count":11,"URL":"https:\/\/doi.org\/10.1007\/978-981-10-5427-3_58","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2017]]}}}