{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,12,30]],"date-time":"2024-12-30T18:27:08Z","timestamp":1735583228971},"publisher-location":"Berlin, Heidelberg","reference-count":14,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783642543401"},{"type":"electronic","value":"9783642543418"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2014]]},"DOI":"10.1007\/978-3-642-54341-8_37","type":"book-chapter","created":{"date-parts":[[2014,2,21]],"date-time":"2014-02-21T11:39:00Z","timestamp":1392982740000},"page":"351-360","source":"Crossref","is-referenced-by-count":9,"title":["Daily Sales Forecasting for Grapes by Support Vector Machine"],"prefix":"10.1007","author":[{"given":"Qian","family":"Wen","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Weisong","family":"Mu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Li","family":"Sun","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Su","family":"Hua","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhijian","family":"Zhou","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"unstructured":"Smola, A.: Regression estimation with support vector learning machines. Master\u2019s thesis, Technische University at Munchen (1996)","key":"37_CR1"},{"issue":"6","key":"37_CR2","doi-asserted-by":"publisher","first-page":"961","DOI":"10.1016\/S0893-6080(05)80092-9","volume":"5","author":"K. Chakraborty","year":"1992","unstructured":"Chakraborty, K., Mehrotra, K., Mohan, C.: Forecasting the behavior of multivariate time series using neural networks. Neural Networks\u00a05(6), 961\u2013970 (1992)","journal-title":"Neural Networks"},{"doi-asserted-by":"crossref","unstructured":"Chang, C.-C., Lin, C.-J.: LIBSVM: A library for support vector machines. ACM Transactions on Intelligent Systems and Technology\u00a02, 27:1\u201327:27 (2011), http:\/\/www.csie.ntu.edu.tw\/~cjlin\/libsvm","key":"37_CR3","DOI":"10.1145\/1961189.1961199"},{"key":"37_CR4","first-page":"273","volume":"20","author":"C. Cortes","year":"1995","unstructured":"Cortes, C., Vapnik, V.: Support vector networks. Machine Learning\u00a020, 273\u2013297 (1995)","journal-title":"Machine Learning"},{"issue":"1","key":"37_CR5","doi-asserted-by":"publisher","first-page":"45","DOI":"10.1007\/BF02941095","volume":"4","author":"M. Doumpos","year":"2004","unstructured":"Doumpos, M.: An Experimental Comparison of Some Efficient Approaches for Training Support Vector Machines. Operational Research\u00a04(1), 45\u201356 (2004)","journal-title":"Operational Research"},{"key":"37_CR6","first-page":"1124","volume":"9","author":"H. Tang","year":"2007","unstructured":"Tang, H., Qu, L.: Fault diagnosis of engine based on support vector machine. Journal of Xi\u2019an Jiaotong University\u00a09, 1124\u20131126 (2007) (in Chinese)","journal-title":"Journal of Xi\u2019an Jiaotong University"},{"issue":"7","key":"37_CR7","first-page":"5363","volume":"20","author":"J. Wu","year":"2007","unstructured":"Wu, J., Dong, T.: SVM applied to modeling of cancer date. Science Technology and Engineering\u00a020(7), 5363\u20135365 (2007)","journal-title":"Science Technology and Engineering"},{"unstructured":"Pelckmans, K., Suykens, J.A.K.: LS-SVMlab Toolbox User\u2019s Guide. Katholieke Universiteit Leuven. ESAT-SCD-SISTA Technical Report, 02-145 (2003)","key":"37_CR8"},{"doi-asserted-by":"crossref","unstructured":"Wu, Q., Yan, H.-S., Yang, H.-B.: A Forecasting Model Based Support Vector Machine and Particle Swarm Optimization. Power Electronics and Intelligent Transportation System (2008)","key":"37_CR9","DOI":"10.1109\/PEITS.2008.37"},{"key":"37_CR10","doi-asserted-by":"publisher","first-page":"1375","DOI":"10.1080\/00207721003646256","volume":"42","author":"A. Roy","year":"2011","unstructured":"Roy, A., Samanta, G.P.: Inventory Model with Two Rates of Production for Deteriorating Items with Permissible Delay in Payment. International Journal of Systems Science\u00a042, 1375\u20131386 (2011)","journal-title":"International Journal of Systems Science"},{"unstructured":"Gunn, S.R.: Support Vector Machines for Classification and Regression. ISIS Technical Report, University of Southampton, Department of Electronics and Computer Science (1998)","key":"37_CR11"},{"key":"37_CR12","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4757-3264-1","volume-title":"The Nature of Statistical Learning Theory","author":"V.N. Vapnik","year":"2000","unstructured":"Vapnik, V.N.: The Nature of Statistical Learning Theory, 2nd edn. Springer, New York (2000)","edition":"2"},{"unstructured":"Du, X.F., Leung, S.C.H.: Demand forecasting of perishable farm products using support vector machine. International Journal of Systems Science, 1\u201312 (2011)","key":"37_CR13"},{"doi-asserted-by":"crossref","unstructured":"Xu, X.-H., Zhang, H.: Forecasting Demand of Short Life Cycle Products by SVM. In: International Conference on Management Science & Engineering, vol.\u00a09, pp. 10\u201312 (2008)","key":"37_CR14","DOI":"10.1109\/ICMSE.2008.4668939"}],"container-title":["IFIP Advances in Information and Communication Technology","Computer and Computing Technologies in Agriculture VII"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-642-54341-8_37","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,5,26]],"date-time":"2019-05-26T08:49:19Z","timestamp":1558860559000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-642-54341-8_37"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014]]},"ISBN":["9783642543401","9783642543418"],"references-count":14,"URL":"https:\/\/doi.org\/10.1007\/978-3-642-54341-8_37","relation":{},"ISSN":["1868-4238","1868-422X"],"issn-type":[{"type":"print","value":"1868-4238"},{"type":"electronic","value":"1868-422X"}],"subject":[],"published":{"date-parts":[[2014]]}}}