{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,9]],"date-time":"2024-09-09T19:23:49Z","timestamp":1725909829774},"publisher-location":"Cham","reference-count":18,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319648606"},{"type":"electronic","value":"9783319648613"}],"license":[{"start":{"date-parts":[[2017,8,31]],"date-time":"2017-08-31T00:00:00Z","timestamp":1504137600000},"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":[[2018]]},"DOI":"10.1007\/978-3-319-64861-3_24","type":"book-chapter","created":{"date-parts":[[2017,8,30]],"date-time":"2017-08-30T08:58:04Z","timestamp":1504083484000},"page":"257-269","source":"Crossref","is-referenced-by-count":1,"title":["Early Prediction of Wheat Diseases Using SVM Multiclass"],"prefix":"10.1007","author":[{"given":"Ahmed","family":"Reda","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Essam","family":"Fakharany","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Maryam","family":"Hazman","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2017,8,31]]},"reference":[{"issue":"3","key":"24_CR1","doi-asserted-by":"crossref","first-page":"179","DOI":"10.14257\/ijhit.2016.9.3.17","volume":"9","author":"H Jiang","year":"2016","unstructured":"Jiang, H., Yang, A., Yan, F., Miao, H.: Research on pattern analysis and data classification methodology for data mining and knowledge discovery. Int. J. Hybrid 9(3), 179\u2013188 (2016)","journal-title":"Int. J. Hybrid"},{"key":"24_CR2","first-page":"3133","volume":"15","author":"M Fern\u00e1ndez-Delgado","year":"2014","unstructured":"Fern\u00e1ndez-Delgado, M., Cernadas, E., Barro, S.: Do we need hundreds of classifiers to solve real world classification problems. J. Mach. Learn. Res. 15, 3133\u20133181 (2014)","journal-title":"J. Mach. Learn. Res."},{"key":"24_CR3","first-page":"22","volume":"5","author":"M El-Telbany","year":"2016","unstructured":"El-Telbany, M., Warda, M.: An empirical comparison of tree-based learning algorithms: an egyptian rice diseases classification case study. Int. J. Adv. 5, 22\u201326 (2016)","journal-title":"Int. J. Adv."},{"key":"24_CR4","first-page":"13","volume":"8","author":"S Nikam","year":"2015","unstructured":"Nikam, S.: A comparative study of classification techniques in data mining algorithms. Orient. J. Comput. Sci. Technol. 8, 13\u201319 (2015)","journal-title":"Orient. J. Comput. Sci. Technol."},{"key":"24_CR5","unstructured":"Brijain, M., Brijain, M., Patel, R., Kushik, M., Rana, K.: A survey on decision tree algorithm for classification, 1\u20135 (2014)"},{"key":"24_CR6","doi-asserted-by":"crossref","unstructured":"Sannakki, S.S., Rajpurohit, V.S., Nargund, V.B., Kulkarni, P.: Diagnosis and classification of grape leaf diseases using neural networks. In: 2013 Fourth International Conference on Computing, Communications and Networking Technologies (ICCCNT), pp. 1\u20135. IEEE (2013)","DOI":"10.1109\/ICCCNT.2013.6726616"},{"key":"24_CR7","doi-asserted-by":"publisher","first-page":"1493","DOI":"10.1162\/neco.1997.9.7.1493","volume":"9","author":"N Kambhatla","year":"1997","unstructured":"Kambhatla, N., Leen, T.K.: Dimension reduction by local principal component analysis. Neural Comput. 9, 1493\u20131516 (1997). doi: 10.1162\/neco.1997.9.7.1493","journal-title":"Neural Comput."},{"key":"24_CR8","doi-asserted-by":"crossref","unstructured":"Rafea, A.: Web-Based Domain Specific Tool For Building Plant Protection Expert Systems. INTECH Open Access Publisher (2010)","DOI":"10.5772\/7079"},{"key":"24_CR9","doi-asserted-by":"publisher","first-page":"10","DOI":"10.1145\/1656274.1656278","volume":"11","author":"M Hall","year":"2009","unstructured":"Hall, M., Frank, E., Holmes, G., Pfahringer, B., Reutemann, P., Witten, I.H.: The WEKA data mining software. ACM SIGKDD Explor. Newsl. 11, 10 (2009). doi: 10.1145\/1656274.1656278","journal-title":"ACM SIGKDD Explor. Newsl."},{"key":"24_CR10","first-page":"8","volume":"60","author":"P Subbuthai","year":"2012","unstructured":"Subbuthai, P., Periasamy, A.: Identifying the character by applying PCA method using Matlab. Int. J. 60, 8\u201311 (2012)","journal-title":"Int. J."},{"issue":"4","key":"24_CR11","doi-asserted-by":"crossref","first-page":"433","DOI":"10.1002\/wics.101","volume":"2","author":"H Abdi","year":"2010","unstructured":"Abdi, H., Williams, L.: Principal component analysis. Wiley Interdiscip. Rev. Comput. Stat. 2(4), 433\u2013459 (2010)","journal-title":"Wiley Interdiscip. Rev. Comput. Stat."},{"key":"24_CR12","doi-asserted-by":"crossref","unstructured":"Basu, A., Walters, C., Shepherd, M.: Support vector machines for text categorization. In: Proceedings of the 36th Annual Hawaii International Conference on System Sciences, 2003, p. 7. IEEE (2003)","DOI":"10.1109\/HICSS.2003.1174243"},{"key":"24_CR13","doi-asserted-by":"crossref","unstructured":"Yu, H., Kim, S.: SVM tutorial\u2014classification, regression and ranking. In: Handbook of Natural Computing, pp. 479\u2013506. Springer, Heidelberg (2012)","DOI":"10.1007\/978-3-540-92910-9_15"},{"key":"24_CR14","doi-asserted-by":"crossref","DOI":"10.1017\/CBO9780511801389","volume-title":"An Introduction to Support Vector Machines and Other Kernel-Based Learning Methods","author":"N Cristianini","year":"2000","unstructured":"Cristianini, N., Shawe-Taylor, J.: An Introduction to Support Vector Machines and Other Kernel-Based Learning Methods. Cambridge University Press, Cambridge (2000)"},{"key":"24_CR15","doi-asserted-by":"publisher","first-page":"241","DOI":"10.1109\/LGRS.2008.915597","volume":"5","author":"A Mathur","year":"2008","unstructured":"Mathur, A., Foody, G.M.: Multiclass and binary SVM classification: implications for training and classification users. IEEE Geosci. Remote Sens. Lett. 5, 241\u2013245 (2008). doi: 10.1109\/LGRS.2008.915597","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"24_CR16","unstructured":"Kindermann, J., Leopold, E., Paass, G.: Multi-class classification with error correcting codes. Treffen der Gi-fachgr. (2000)"},{"key":"24_CR17","unstructured":"Nguyen, T., Pham, X., Liew, A.: Aggregation of classifiers: a justifiable information granularity approach. arXivPrepr:1703.05411 (2017)"},{"key":"24_CR18","doi-asserted-by":"publisher","first-page":"27","DOI":"10.1016\/j.patrec.2008.08.010","volume":"30","author":"C Ferri","year":"2009","unstructured":"Ferri, C., Hernndez-Orallo, J., Modroiu, R.: An experimental comparison of performance measures for classification. Pattern Recognit. Lett. 30, 27\u201338 (2009). doi: 10.1016\/j.patrec.2008.08.010","journal-title":"Pattern Recognit. Lett."}],"container-title":["Advances in Intelligent Systems and Computing","Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2017"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-64861-3_24","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,10,2]],"date-time":"2019-10-02T19:19:07Z","timestamp":1570043947000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-64861-3_24"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,8,31]]},"ISBN":["9783319648606","9783319648613"],"references-count":18,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-64861-3_24","relation":{},"ISSN":["2194-5357","2194-5365"],"issn-type":[{"type":"print","value":"2194-5357"},{"type":"electronic","value":"2194-5365"}],"subject":[],"published":{"date-parts":[[2017,8,31]]}}}