{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,29]],"date-time":"2025-06-29T10:10:06Z","timestamp":1751191806881,"version":"3.41.0"},"publisher-location":"Cham","reference-count":18,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319728223"},{"type":"electronic","value":"9783319728230"}],"license":[{"start":{"date-parts":[[2017,12,31]],"date-time":"2017-12-31T00:00:00Z","timestamp":1514678400000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018]]},"DOI":"10.1007\/978-3-319-72823-0_35","type":"book-chapter","created":{"date-parts":[[2017,12,30]],"date-time":"2017-12-30T15:59:03Z","timestamp":1514649543000},"page":"371-384","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Classification of Medical Consultation Text Using Mobile Agent System Based on Na\u00efve Bayes Classifier"],"prefix":"10.1007","author":[{"given":"Xingyu","family":"Chen","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Guangping","family":"Zeng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qingchuan","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Liu","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhuolin","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2017,12,31]]},"reference":[{"key":"35_CR1","volume-title":"Artificial Intelligence - A Modern Approach","author":"SJ Russel","year":"2003","unstructured":"Russel, S.J., Norvig, P.: Artificial Intelligence - A Modern Approach. Prentice Hall, Upper Saddle River (2003)"},{"issue":"2","key":"35_CR2","first-page":"79","volume":"19","author":"K Jee","year":"2013","unstructured":"Jee, K., Kim, G.H.: Potentiality of big data in the medical sector: focus on how to reshape the healthcare system. Healthc. Inf. Res. 19(2), 79\u201385 (2013)","journal-title":"Inf. Res."},{"key":"35_CR3","unstructured":"Zhang, H.: The optimality of Naive Bayes. In: Seventeenth International Florida Artificial Intelligence Research Society Conference, Miami Beach, Florida, USA (2005)"},{"key":"35_CR4","unstructured":"Metsis, V., Androutsopoulos, I., Paliouras, G.: Spam filtering with Naive Bayes - which Naive Bayes? In: CEAS 2006 - The Third Conference on Email and Anti-Spam, Mountain View, California, USA, 27\u201328 July 2006"},{"key":"35_CR5","unstructured":"John, G.H., Langley, P.: Estimating continuous distributions in Bayesian classifiers, pp. 338\u2013345 (2013)"},{"issue":"3","key":"35_CR6","first-page":"25","volume":"5","author":"YM Essa","year":"2014","unstructured":"Essa, Y.M., Attiya, G., El-Sayed, A.: New framework for improving big data analysis using mobile agent. Int. J. Adv. Comput. Sci. Appl. 5(3), 25\u201332 (2014)","journal-title":"Int. J. Adv. Comput. Sci. Appl."},{"key":"35_CR7","unstructured":"Gray, R.S., Cybenko, G.: Agent TCL: a flexible and secure mobile-agent system. In: Proceedings of the 1996 TCL\/TK Workshop, pp. 9\u201323 (1999)"},{"issue":"1","key":"35_CR8","doi-asserted-by":"crossref","first-page":"133","DOI":"10.1007\/s00180-007-0029-0","volume":"22","author":"X Jin","year":"2007","unstructured":"Jin, X., Zhou, W., Bie, R.: Multinomial event naive Bayesian modeling for SAGE data classification. Comput. Stat. 22(1), 133\u2013143 (2007)","journal-title":"Comput. Stat."},{"issue":"5","key":"35_CR9","doi-asserted-by":"crossref","first-page":"503","DOI":"10.1108\/00220410410560582","volume":"60","author":"S Robertson","year":"2004","unstructured":"Robertson, S.: Understanding inverse document frequency: on theoretical arguments for IDF. J. Doc. 60(5), 503\u2013520 (2004)","journal-title":"J. Doc."},{"key":"35_CR10","doi-asserted-by":"crossref","unstructured":"Baker, L.D., McCallum, A.K.: Distributional clustering of words for text classification. In: International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 96\u2013103 (2003)","DOI":"10.1145\/290941.290970"},{"key":"35_CR11","doi-asserted-by":"crossref","unstructured":"Rogati, M., Yang, Y.: High-performing feature selection for text classification (2003)","DOI":"10.1145\/584902.584911"},{"issue":"1","key":"35_CR12","first-page":"45","volume":"2","author":"S Tong","year":"2002","unstructured":"Tong, S., Koller, D.: Support vector machine active learning with applications to text classification. J. Mach. Learn. Res. 2(1), 45\u201366 (2002)","journal-title":"J. Mach. Learn. Res."},{"key":"35_CR13","unstructured":"McCallum, A., Nigam, K.: A comparison of event models for Naive Bayes text classification. In: AAAI 1998 Workshop on Learning for Text Categorization, vol. 62(2), pp. 41\u201348 (2001)"},{"key":"35_CR14","unstructured":"Nigam, K.: Using maximum entropy for text classification. In: IJCAI 1999 Workshop on Machine Learning for Information Filtering, pp. 61\u201367 (1999)"},{"key":"35_CR15","unstructured":"Saad, M.K., Ashour, W.: Arabic text classification using decision trees. In: International Workshop on Computer Science and Information Technologies, CSIT 2010 (2010)"},{"key":"35_CR16","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"288","DOI":"10.1007\/978-3-319-10160-6_26","volume-title":"Data Warehousing and Knowledge Discovery","author":"A Bouaziz","year":"2014","unstructured":"Bouaziz, A., Dartigues-Pallez, C., da Costa Pereira, C., Precioso, F., Lloret, P.: Short text classification using semantic random forest. In: Bellatreche, L., Mohania, M.K. (eds.) DaWaK 2014. LNCS, vol. 8646, pp. 288\u2013299. Springer, Cham (2014). https:\/\/doi.org\/10.1007\/978-3-319-10160-6_26"},{"key":"35_CR17","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"53","DOI":"10.1007\/3-540-45357-1_9","volume-title":"Advances in Knowledge Discovery and Data Mining","author":"E-H Han","year":"2001","unstructured":"Han, E.-H., Karypis, G., Kumar, V.: Text categorization using weight adjusted k-nearest neighbor classification. In: Cheung, D., Williams, G.J., Li, Q. (eds.) PAKDD 2001. LNCS (LNAI), vol. 2035, pp. 53\u201365. Springer, Heidelberg (2001). https:\/\/doi.org\/10.1007\/3-540-45357-1_9"},{"key":"35_CR18","series-title":"IFIP International Federation for Information Processing","doi-asserted-by":"publisher","first-page":"169","DOI":"10.1007\/978-0-387-34747-9_18","volume-title":"Artificial Intelligence in Theory and Practice","author":"F Colas","year":"2006","unstructured":"Colas, F., Brazdil, P.: Comparison of SVM and some older classification algorithms in text classification tasks. In: Bramer, M. (ed.) Artificial Intelligence in Theory and Practice. IFIP AICT, vol. 217, pp. 169\u2013178. Springer, Boston (2006). https:\/\/doi.org\/10.1007\/978-0-387-34747-9_18"}],"container-title":["Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering","5G for Future Wireless Networks"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-72823-0_35","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,29]],"date-time":"2025-06-29T09:32:37Z","timestamp":1751189557000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-72823-0_35"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,12,31]]},"ISBN":["9783319728223","9783319728230"],"references-count":18,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-72823-0_35","relation":{},"ISSN":["1867-8211","1867-822X"],"issn-type":[{"type":"print","value":"1867-8211"},{"type":"electronic","value":"1867-822X"}],"subject":[],"published":{"date-parts":[[2017,12,31]]}}}