{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,24]],"date-time":"2025-06-24T06:45:42Z","timestamp":1750747542447,"version":"3.40.3"},"publisher-location":"Cham","reference-count":16,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319232034"},{"type":"electronic","value":"9783319232041"}],"license":[{"start":{"date-parts":[[2015,8,29]],"date-time":"2015-08-29T00:00:00Z","timestamp":1440806400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2015,8,29]],"date-time":"2015-08-29T00:00:00Z","timestamp":1440806400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2016]]},"DOI":"10.1007\/978-3-319-23204-1_24","type":"book-chapter","created":{"date-parts":[[2015,8,28]],"date-time":"2015-08-28T15:12:25Z","timestamp":1440774745000},"page":"237-245","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Fish Classification Based on Robust Features Selection Using Machine Learning Techniques"],"prefix":"10.1007","author":[{"given":"Than Thida","family":"Hnin","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Khin Thidar","family":"Lynn","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2015,8,29]]},"reference":[{"key":"24_CR1","doi-asserted-by":"publisher","first-page":"e563","DOI":"10.7717\/peerj.563","volume":"2","author":"Andr\u00e9s Hern\u00e1ndez-Serna","year":"2014","unstructured":"Hern\u00e1ndez-Serna, A., Jim\u00e9nez-Segura, L.F.: Automatic identification of species with neural networks. Hern\u00e1ndez-Serna and Jimen\u00e9z-Segura. PeerJ (2014). doi:10.7717\/peerj.563","journal-title":"PeerJ"},{"key":"24_CR2","first-page":"1","volume":"2013","author":"Ahmed Majid Taha","year":"2013","unstructured":"Taha, A.M., Mustapha, A., Chen, S.-D.: Naive Bayes-Guided Bat Algorithm for Feature Selection. Hindawi Publishing Corporation. The Scientific World Journal, vol. 2013, Article ID 325973","journal-title":"The Scientific World Journal"},{"issue":"6","key":"24_CR3","first-page":"493","volume":"2","author":"Anne-Laure Boulesteix","year":"2012","unstructured":"Boulesteix, A.-L., Janitza, S., Kruppa, J., K\u00f6nig, I.R.: Overview of Random Forest Methodology and Practical Guidance with Emphasis on Computational Biology and Bioinformatics, July 25, 2012","journal-title":"Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery"},{"issue":"2","key":"24_CR4","first-page":"271","volume":"2","author":"AG Karegowda","year":"2010","unstructured":"Karegowda, A.G., Manjunath, A.S., Jayaram, M.A.: Comparative Study of Attribute Selection Using Grain Ratio and Correlation Based Feature Selection. International Journal of Information Technology and Knowledge Management 2(2), 271\u2013277 (2010)","journal-title":"International Journal of Information Technology and Knowledge Management"},{"key":"24_CR5","doi-asserted-by":"publisher","first-page":"240","DOI":"10.1016\/j.fishres.2009.12.003","volume":"102","author":"C Guisande","year":"2010","unstructured":"Guisande, C., Manjarr\u00e9s-Hern\u00e1ndez, A., Pelayo-Villamil, P., Granado-Lorencio, C., Riveiro, I., Acuna, A., Prieto-Piraquive, E., Janeiro, E., Mat\u00edas, J.M., Patti, C., Patti, B., Mazzola, S., Jim\u00e9nez, S., Duque, V., Salmer\u00f3n, F.: IPez: An expert system for the taxonomic identification of fishes based on machine learning techniques. Fisheries Research 102, 240\u2013247 (2010)","journal-title":"Fisheries Research"},{"issue":"1","key":"24_CR6","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.: The weka data mining software: an update. ACM SIGKDD Explorations Newsletter 11(1), 10\u201318 (2009)","journal-title":"ACM SIGKDD Explorations Newsletter"},{"doi-asserted-by":"crossref","unstructured":"Chen, H., Bart Jr., H.L., Huang, S.: Integrated Feature Selection and Clustering for Taxonomic Problems within Fish Species Complexes. Journal of Multimedia 3(3), July 2008","key":"24_CR7","DOI":"10.4304\/jmm.3.3.10-17"},{"unstructured":"Inza, I., Calvo, B., Arma\u00f1anzas, R., Bengoetxea, E., Larra\u00f1aga, P., Lozano, J.A.: Machine Learning: An Indispensable Tool in Bioinformatics","key":"24_CR8"},{"unstructured":"Ali, J., Khan, R., Ahmad, N., Maqsood, I.: Random Forests and Decision Trees. IJCSI International Journal of Computer Science Issues 9(5), No 3, 1694\u20130814, September 2012","key":"24_CR9"},{"issue":"1","key":"24_CR10","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1023\/A:1010933404324","volume":"45","author":"L Breiman","year":"2001","unstructured":"Breiman, L.: Random Forests. Machine Learning 45(1), 5\u201332 (2001)","journal-title":"Machine Learning"},{"unstructured":"Alsmadi, M.K., Omar, K.B., Noah, S.A., Almarashdeh, I.: Fish Recognition Based On Robust Features Extraction From Color Texture Measurements Using Back-Propagation Classifier. Journal of Theoretical and Applied Information Technology (2010)","key":"24_CR11"},{"issue":"2","key":"24_CR12","doi-asserted-by":"publisher","first-page":"116","DOI":"10.5019\/j.ijcir.2009.175","volume":"5","author":"R Abraham","year":"2009","unstructured":"Abraham, R., Simha, J.B., Iyengar, S.S.: Effective Discretization and Hybrid feature selection using Na\u00efve Bayesian classifier for Medical data mining. International Journal of Computational Intelligence Research 5(2), 116\u2013129 (2009). ISSN 0974-1259","journal-title":"International Journal of Computational Intelligence Research"},{"unstructured":"Kohavi, R.: Scaling up the Accuracy of Na\u00efve-Bayes Classifier: Decision Tree-Hybrid","key":"24_CR13"},{"unstructured":"Kamruzzaman, S.M., Haider, F., Hasan, A.R.: Text Classification using Association Rule with a Hybrid Concept of Naive Bayes Classifier and Genetic Algorithm","key":"24_CR14"},{"unstructured":"Rao, T., Rajinikanth, T.V.: A Hybrid Random Forest based Support Vector Machine Classification supplemented by boosting. Global Journal of Computer Science and Technology, C Software and Data Engineering 14(1), Version 1.0 (2014)","key":"24_CR15"},{"unstructured":"Talwar, P.K., Jhingran, A.G.: Inland Fishes of India and adjacent Countries, vol. I, II. Oxford and IBH Publishing Co. Ltd., Calcutta, pp. 1\u20131158","key":"24_CR16"}],"container-title":["Advances in Intelligent Systems and Computing","Genetic and Evolutionary Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-23204-1_24","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,1,23]],"date-time":"2023-01-23T13:58:03Z","timestamp":1674482283000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-319-23204-1_24"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,8,29]]},"ISBN":["9783319232034","9783319232041"],"references-count":16,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-23204-1_24","relation":{},"ISSN":["2194-5357","2194-5365"],"issn-type":[{"type":"print","value":"2194-5357"},{"type":"electronic","value":"2194-5365"}],"subject":[],"published":{"date-parts":[[2015,8,29]]},"assertion":[{"value":"29 August 2015","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}}]}}