{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,29]],"date-time":"2025-09-29T08:12:01Z","timestamp":1759133521760,"version":"3.41.0"},"publisher-location":"Cham","reference-count":73,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319212111"},{"type":"electronic","value":"9783319212128"}],"license":[{"start":{"date-parts":[[2015,7,19]],"date-time":"2015-07-19T00:00:00Z","timestamp":1437264000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2015,7,19]],"date-time":"2015-07-19T00:00:00Z","timestamp":1437264000000},"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\/978-3-319-21212-8_12","type":"book-chapter","created":{"date-parts":[[2015,7,18]],"date-time":"2015-07-18T13:20:42Z","timestamp":1437225642000},"page":"267-287","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":51,"title":["MEDLINE Text Mining: An Enhancement Genetic Algorithm Based Approach for Document Clustering"],"prefix":"10.1007","author":[{"given":"Wahiba Ben Abdessalem","family":"Karaa","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Amira S.","family":"Ashour","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dhekra Ben","family":"Sassi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Payel","family":"Roy","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Noreen","family":"Kausar","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nilanjan","family":"Dey","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2015,7,19]]},"reference":[{"issue":"5","key":"12_CR1","doi-asserted-by":"publisher","first-page":"801","DOI":"10.1016\/j.jbi.2008.10.002","volume":"42","author":"M Fiszman","year":"1999","unstructured":"Fiszman, M., Demner-Fushman, D., Kilicoglu, H., Rindflesch, T.: Automatic summarization of MEDLINE citations for evidence-based medical treatment: a topic-oriented evaluation. J. Biomed. Inf. 42(5), 801\u2013813 (1999)","journal-title":"J. Biomed. Inf."},{"issue":"6","key":"12_CR2","first-page":"573","volume":"3","author":"N Ikeda","year":"2014","unstructured":"Ikeda, N., Araki, T., Dey, N., Bose, S., Shafique, S., El-Baz, A., Cuadrado Godia, E., Anzidei, M., Saba, L., Suri, J.S.: Automated and accurate carotid bulb detection, its verification and validation in low quality frozen frames and motion video. Int. Angiol. 3(6), 573\u201389 (2014)","journal-title":"Int. Angiol."},{"issue":"1","key":"12_CR3","first-page":"157","volume":"1","author":"T Bhattacharya","year":"2012","unstructured":"Bhattacharya, T., Dey, D., Chaudhuri, S.: A novel session based dual steganographic technique using DWT and spread spectrum. Int. J. Mod. Eng. Res. 1(1), 157\u2013161 (2012)","journal-title":"Int. J. Mod. Eng. Res."},{"key":"12_CR4","unstructured":"Dey, N., Roy, A., Pal, M., Das, A.: FCM Based blood vessel segmentation method for retinal images. Int. J. Comput. Sci. Netw. 1(3) (2012) (ISSN 2277\u20135420)"},{"key":"12_CR5","doi-asserted-by":"crossref","unstructured":"Dey, N., Das, A., Chaudhuri, S.: Wavelet based normal and abnormal heart sound identification using spectrogram analysis. Int. J. Comput. Sci. Eng. Technol. 3(6) (2012) (ISSN: 2229\u20133345)","DOI":"10.1109\/ICCIC.2012.6510173"},{"key":"12_CR6","doi-asserted-by":"publisher","unstructured":"Chakraborty, S., Mukherjee, A., Chatterjee, D., Maji, P., Acharjee, S., Dey, N.: A semi-automated system for optic nerve head segmentation in digital retinal images. In: 2014 International Conference on Information Technology, IEEE, Bhubaneswar, pp. 112\u2013117, 22\u201324 Dec 2014. doi:10.1109\/ICIT.2014.51","DOI":"10.1109\/ICIT.2014.51"},{"key":"12_CR7","unstructured":"Feldman, R., Dagan, I.: Knowledge discovery in textual databases (KDT). In: Proceedings of the First International Conference on Knowledge Discovery and Data Mining (KDD-9), pp. 112\u2013117 (1995)"},{"key":"12_CR8","unstructured":"Navathe, B., Elmasri, R.: Data Warehousing and Data Mining, Fundamentals of Database Systems, pp. 841\u2013872. Pearson Education pvt Inc, Singapore (2000)"},{"key":"12_CR9","doi-asserted-by":"crossref","unstructured":"Gupta, V., Lehal, G.: A survey of text mining techniques and applications. J. Emerg. Technol. Web Intell. 1(1) (2009)","DOI":"10.4304\/jetwi.1.1.60-76"},{"key":"12_CR10","doi-asserted-by":"crossref","unstructured":"Liritano, S., Ruffolo, M.: Managing the knowledge contained in electronic documents: a clustering method for text mining. In: Proceedings of the IEEE 12th International Workshop on Database and Expert Systems Applications, pp. 454\u2013458, Italy (2001)","DOI":"10.1109\/DEXA.2001.953103"},{"issue":"2","key":"12_CR11","doi-asserted-by":"publisher","first-page":"119","DOI":"10.1038\/nrg1768","volume":"7","author":"L Jensen","year":"2006","unstructured":"Jensen, L., Saric, J., Bork, P.: Literature mining for the biologist: from information retrieval to biological discovery. Nat. Rev. Genet. 7(2), 119\u2013129 (2006)","journal-title":"Nat. Rev. Genet."},{"issue":"15","key":"12_CR12","doi-asserted-by":"crossref","first-page":"1944","DOI":"10.1093\/bioinformatics\/btp338","volume":"25","author":"Shanfeng Zhu","year":"2009","unstructured":"Zhu, S., Zeng, S., Mamitsuk, H.: Enhancing MEDLINE document clustering by incorporating MeSH semantic similarity. Bioinf. Adv. Access Published 25(15), 1944\u20131951 (2009)","journal-title":"Bioinformatics"},{"key":"12_CR13","unstructured":"Dey, N., Acharjee, S., Biswas, D., Das, A., Chaudhuri, S.: Medical information embedding in compressed watermarked intravascular ultrasound video. Seria Electronica si Telecomunicatii Transactions on Electronics and Communications 57(71) (2012)"},{"key":"12_CR14","unstructured":"Dey, N., Chakraborty, S., Samanta, S.: Optimization of watermarking in biomedical signal. Lambert Academic Publishing, Heinrich-B\u00f6cking-Stra\u00dfe 6, 66121. Saarbr\u00fccken, Germany (2014) ISBN-13: 978-3-659-46460-7"},{"key":"12_CR15","unstructured":"Salton, G.: The SMART Retrieval System: Experiments in Automatic Document Processing. Prentice-Hall, Upper Saddle River (1971)"},{"issue":"11","key":"12_CR16","doi-asserted-by":"publisher","first-page":"613","DOI":"10.1145\/361219.361220","volume":"18","author":"G Salton","year":"1975","unstructured":"Salton, G., Wong, A., Yang, C.: A vector space model for automatic indexing. Commun. ACM 18(11), 613\u2013620 (1975)","journal-title":"Commun. ACM"},{"key":"12_CR17","doi-asserted-by":"crossref","unstructured":"Manning, C., Raghavan, P., Schutze, H.: Introduction to Information Retrieval. Cambridge University Press, Cambridge (2008)","DOI":"10.1017\/CBO9780511809071"},{"issue":"3","key":"12_CR18","doi-asserted-by":"publisher","first-page":"586","DOI":"10.1109\/72.846731","volume":"11","author":"J Vesanto","year":"2000","unstructured":"Vesanto, J., Alhoniemi, E.: Clustering of the self-organizing map. IEEE Trans. Neural Netw. 11(3), 586\u2013600 (2000)","journal-title":"IEEE Trans. Neural Netw."},{"issue":"3","key":"12_CR19","doi-asserted-by":"crossref","first-page":"264","DOI":"10.1145\/331499.331504","volume":"31","author":"A. K. Jain","year":"1999","unstructured":"Jain, A., Murty, M., Flynn, P.: Data clustering: a review. ACM Comput. Surv. 31(3), 264\u2013323 (1999)","journal-title":"ACM Computing Surveys"},{"issue":"2","key":"12_CR20","doi-asserted-by":"publisher","first-page":"305","DOI":"10.1007\/s00357-007-0015-9","volume":"24","author":"R Duda","year":"2007","unstructured":"Duda, R., Hart, P., Stork, D.: Pattern classification. J. Classif. 24(2), 305\u2013307 (2007)","journal-title":"J. Classif."},{"key":"12_CR21","first-page":"34","volume":"2","author":"M Tayal","year":"2010","unstructured":"Tayal, M., Raghuwanshi, M.: Review on various clustering methods for the image data. J. Emerg. Trends Comput. Inf. Sci. 2, 34\u201338 (2010)","journal-title":"J. Emerg. Trends Comput. Inf. Sci."},{"key":"12_CR22","unstructured":"Tou, J., Gonzalez, R.: Pattern Recognition Principles. Addison-Wesley Publishing Company, Massachusetts (1974)"},{"key":"12_CR23","unstructured":"George, A.: Efficient high dimension data clustering using constraint-partitioning K-means algorithm. Int. Arab J. Inf. Technol. 10(5), 467\u2013476 (2013)"},{"issue":"9","key":"12_CR24","doi-asserted-by":"crossref","first-page":"908","DOI":"10.1109\/T-C.1975.224336","volume":"C-24","author":"W.L.G. Koontz","year":"1975","unstructured":"Koontz, W., Narendra, P., Fukunaga, K.: A branch and bound clustering algorithm. IEEE Trans. Comput. 24(9), 908\u2013915 (1975)","journal-title":"IEEE Transactions on Computers"},{"key":"12_CR25","doi-asserted-by":"publisher","first-page":"329","DOI":"10.1207\/s15327906mbr0503_6","volume":"5","author":"J Wolfe","year":"1970","unstructured":"Wolfe, J.: Pattern clustering by multivariate mixture analysis. Multivar. Behav. Res. 5, 329\u2013350 (1970)","journal-title":"Multivar. Behav. Res."},{"issue":"9","key":"12_CR26","doi-asserted-by":"crossref","first-page":"936","DOI":"10.1109\/TC.1976.1674719","volume":"C-25","author":"Koontz","year":"1976","unstructured":"Koontz, W., Narendra, P., Fukunaga, K.: A graph theoretic approach to non parametic cluster analysis. IEEE Trans. Comput. C-25, 936\u2013944 (1975)","journal-title":"IEEE Transactions on Computers"},{"key":"12_CR27","doi-asserted-by":"crossref","unstructured":"Yang, X., Guo, D., Cao, X., Zhou, J.: Research on ontology-based text clustering. In: Third International Workshop on Semantic Media Adaptation and Personalization, pp. 141\u2013146, IEEE Computer Society, China (2008)","DOI":"10.1109\/SMAP.2008.14"},{"issue":"4","key":"12_CR28","first-page":"48","volume":"16","author":"A Hotho","year":"2002","unstructured":"Hotho, A., Maedche, A., Staab, S.: Text clustering based on good aggregations. K\u00fcnstliche Intelligenz (KI) 16(4), 48\u201354 (2002)","journal-title":"K\u00fcnstliche Intelligenz (KI)"},{"key":"12_CR29","unstructured":"Iliopulos, I., Enright, A., Ouzounis, C.: TEXTQUEST: document clustering of MEDLINE abstracts for concept discovery in molecular biology. Pac. Symp. Biocomput. 6, 384\u2013395 (2001)"},{"issue":"10","key":"12_CR30","doi-asserted-by":"crossref","first-page":"research0055.1","DOI":"10.1186\/gb-2002-3-10-research0055","volume":"3","author":"Damien Chaussabel","year":"2002","unstructured":"Chaussabel, D., Sher, A.: Mining microarray expression data by literature profiling. Genome Biol. 3(10) (2002)","journal-title":"Genome Biology"},{"issue":"6","key":"12_CR31","doi-asserted-by":"publisher","first-page":"R43","DOI":"10.1186\/gb-2004-5-6-r43","volume":"5","author":"Patrick Glenisson","year":"2004","unstructured":"Glenisson, P., Coessens, B., Van Vooren, S., Mathys, J., Moreau, Y., De Moor, B.: TXTGate: profiling gene groups with text-based information. Genome Biol. 5, R43 (2004). doi:10.1186\/gb-2004-5-6-r43","journal-title":"Genome Biology"},{"key":"12_CR32","unstructured":"Liu, Y., Ciliax, B., Borges, K., Dasigi, V., Ram, A., Navathe, S., Dingledine, R.: Comparison of two schemes for automatic keyword extraction from MEDLINE for functional gene clustering. In: Proceedings of the IEEE Computational Systems Bioinformatics Conference, CSB 2004, pp. 394\u2013404 (2004)"},{"key":"12_CR33","doi-asserted-by":"crossref","unstructured":"Chang, H., Hsu, C., Deng, Y.: Unsupervised document clustering based on keyword clusters. In: IEEE International Symposium on Communications and Information Technology 2004 (ISCIT 2004), vol. 2, pp. 1198\u20131203 (2004)","DOI":"10.1109\/ISCIT.2004.1413908"},{"key":"12_CR34","doi-asserted-by":"crossref","unstructured":"Yoo, I., Hu, X.: A comprehensive comparison study of document clustering for a biomedical digital library MEDLINE. In: Proceedings of the 6th ACM\/IEEE-CS Joint Conference on Digital libraries, pp. 220\u2013229 (2006)","DOI":"10.1145\/1141753.1141802"},{"key":"12_CR35","doi-asserted-by":"crossref","unstructured":"Zhang, Z., Cheng, H., Zhang, S., Chen, W., Fang, Q.: Clustering aggregation based on genetic algorithm for documents clustering. In: IEEE Congress on Evolutionary Computation, CEC 2008, (IEEE World Congress on Computational Intelligence) pp. 3156\u20133161 (2008)","DOI":"10.1109\/CEC.2008.4631225"},{"key":"12_CR36","doi-asserted-by":"crossref","unstructured":"Zhang, C.: Document clustering description based on combination strategy, In: Innovative Computing, Information and Control (ICICIC), pp. 1084\u20131088 (2009)","DOI":"10.1109\/ICICIC.2009.178"},{"issue":"15","key":"12_CR37","doi-asserted-by":"publisher","first-page":"1944","DOI":"10.1093\/bioinformatics\/btp338","volume":"25","author":"S Zhu","year":"2009","unstructured":"Zhu, S., Zeng, J., Mamitsuka, H.: Enhancing MEDLINE document clustering by incorporating mesh semantic similarity. Bioinformatics 25(15), 1944\u20131951 (2009)","journal-title":"Bioinformatics"},{"key":"12_CR38","doi-asserted-by":"crossref","unstructured":"He, H., Tan, Y.: A dynamic genetic clustering algorithm for automatic choice of the number of clusters. In: 9th IEEE International Conference on Control and Automation (ICCA), pp. 544\u2013549 (2011)","DOI":"10.1109\/ICCA.2011.6137921"},{"key":"12_CR39","doi-asserted-by":"crossref","unstructured":"El-Bathy, N., Azar, G., El-Bathy, M., Stein, G.: Intelligent extended clustering genetic algorithm. In: IEEE International Conference on Electro\/Information Technology (EIT), pp. 1\u20135 (2011)","DOI":"10.1109\/EIT.2011.5978607"},{"issue":"6","key":"12_CR40","first-page":"12","volume":"2","author":"S Pachgade","year":"2012","unstructured":"Pachgade, S., Dhande, S.: Outlier detection over data set using cluster-based and distance based approach. Int. J. Adv. Res. Comput. Sci. Softw. Eng. 2(6), 12\u201316 (2012)","journal-title":"Int. J. Adv. Res. Comput. Sci. Softw. Eng."},{"key":"12_CR41","doi-asserted-by":"crossref","unstructured":"Gajawada, S., Toshniwal, D.: A framework for classification using genetic algorithm based clustering. In: 12th International Conference on Intelligent Systems Design and Applications (ISDA), pp. 752\u2013757 (2012)","DOI":"10.1109\/ISDA.2012.6416631"},{"issue":"4","key":"12_CR42","doi-asserted-by":"publisher","first-page":"1265","DOI":"10.1109\/TSMCB.2012.2227998","volume":"43","author":"J Gu","year":"2013","unstructured":"Gu, J., Feng, W., Zeng, J., Mamitsuka, H., Zhu, S.: Efficient semisupervised MEDLINE document clustering with MeSH-semantic and global-content constraints. IEEE Trans. Cybern. 43(4), 1265\u20131276 (2013)","journal-title":"IEEE Trans. Cybern."},{"key":"12_CR43","doi-asserted-by":"crossref","unstructured":"Yafooz, W., Abidin, S., Omar, N., Halim, R.: Dynamic semantic textual document clustering using frequent terms and named entity. In: IEEE 3rd International Conference on System Engineering and Technology (ICSET), pp. 336\u2013340 (2013)","DOI":"10.1109\/ICSEngT.2013.6650195"},{"issue":"4","key":"12_CR44","doi-asserted-by":"crossref","first-page":"1265","DOI":"10.1109\/TSMCB.2012.2227998","volume":"43","author":"Jun Gu","year":"2013","unstructured":"Gu, J., Feng, W., Zeng, J., Mamitsuka, H., Zhu, S.: Efficient semisupervised MEDLINE document clustering with MeSH-semantic and global-content constraints. IEEE Trans. Cybern. 43(4) (2013)","journal-title":"IEEE Transactions on Cybernetics"},{"key":"12_CR45","doi-asserted-by":"crossref","unstructured":"Xiaoping, S.: Textual document clustering using topic models. In: Semantics, Knowledge and Grids (SKG), pp. 1\u20134 (2014)","DOI":"10.1109\/SKG.2014.27"},{"key":"12_CR46","unstructured":"Bharathi, B., Vijayan, A.: Clustering of Biomedical documents using semi supervised clustering method. Int. J. Comput. Sci. Inf. Technol. 5(1), 661\u2013664 (2014)"},{"issue":"1","key":"12_CR47","doi-asserted-by":"crossref","first-page":"81","DOI":"10.1109\/TPAMI.1984.4767478","volume":"6","author":"S Selim","year":"1986","unstructured":"Selim, S., Ismail, M.: K-means-type algorithm: generalized convergence theorem and characterization of local optimality. IEEE Trans. Pattern Anal. 6(1), 81\u201387 (1986)","journal-title":"IEEE Trans. Pattern Anal."},{"key":"12_CR48","doi-asserted-by":"publisher","first-page":"9095","DOI":"10.1016\/j.eswa.2008.12.046","volume":"36","author":"W Song","year":"2009","unstructured":"Song, W., Li, C., Park, S.: Genetic algorithm for text clustering using ontology and evaluating the validity of various semantic similarity measures. Expert Syst. Appl. 36, 9095\u20139104 (2009)","journal-title":"Expert Syst. Appl."},{"key":"12_CR49","unstructured":"Falkenauer, E.: Genetic Algorithms and Grouping Problems. Wiley, New York (1998). ISBN 0471971502"},{"issue":"2","key":"12_CR50","doi-asserted-by":"crossref","first-page":"133","DOI":"10.1109\/TSMCC.2008.2007252","volume":"39","author":"E.R. Hruschka","year":"2009","unstructured":"Hruschka, E., Campello, R., Freitas, A., Carvalho, A.: A survey of evolutionary algorithms for clustering. IEEE Trans. Syst. Man Cybern. Part C: Appl. Rev. 39(2), 133\u2013155 (2009)","journal-title":"IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews)"},{"key":"12_CR51","doi-asserted-by":"crossref","unstructured":"Raghavan, V., Birchand, K.: A clustering strategy based on a formalism of the reproductive process in a natural system. In: Proceedings of the Second International Conference on Information Storage and Retrieval, pp. 10\u201322 (1979)","DOI":"10.1145\/511706.511709"},{"key":"12_CR52","unstructured":"Santimetvirul, C., Willett, P.: Non-hierarchic document clustering using a genetic algorithm. Inf. Res. 1(1) (1995)"},{"issue":"5","key":"12_CR53","doi-asserted-by":"publisher","first-page":"315","DOI":"10.1504\/IJBIC.2013.057193","volume":"5","author":"N Dey","year":"2013","unstructured":"Dey, N., Samanta, S., Yang, X., Das, A., Chaudhuri, S.: Optimisation of scaling factors in electrocardiogram signal watermarking using cuckoo search. Int. J. Bio-Inspired Comput. 5(5), 315\u2013326 (2013)","journal-title":"Int. J. Bio-Inspired Comput."},{"key":"12_CR54","unstructured":"Merkl, D.: Text mining with self-organizing maps. Handbook of Data Mining and Knowledge, pp. 903\u2013910. Oxford University Press, Inc., New York (2002)"},{"issue":"3","key":"12_CR55","doi-asserted-by":"publisher","first-page":"384","DOI":"10.1166\/jmihi.2014.1265","volume":"4","author":"N Day","year":"2014","unstructured":"Day, N., Samanta, S., Chakraborty, S., Das, A., Chaudhuri, S., Suri, J.: Firefly algorithm for optimization of scaling factors during embedding of manifold medical information: an application in ophthalmology imaging. J. Med. Imaging Health Inf. 4(3), 384\u2013394 (2014)","journal-title":"J. Med. Imaging Health Inf."},{"key":"12_CR56","doi-asserted-by":"crossref","unstructured":"Dey, N., Mukhopadhyay, S., Das, A., Chaudhuri, S.: Using DWT analysis of P, QRS and T components and cardiac output modified by blind watermarking technique within the electrocardiogram signal for authentication in the wireless telecardiology. Int. J. Image Graphics Signal Proces. 7, 33\u201346 (2012) (ISSN:2074\u20139074)","DOI":"10.5815\/ijigsp.2012.07.04"},{"key":"12_CR57","doi-asserted-by":"crossref","unstructured":"Dey, N., Nandi, B., Roy, A., Biswas, D., Das, A., Chaudhuri, S.: Analysis of Blood Cell Smears using Stationary Wavelet Transform and Harris Corner Detection, Published by Recent Advances in Computer Vision and Image Processing, Methodologies and Applications, pp. 357\u2013370 (2013)","DOI":"10.4018\/978-1-4666-4558-5.ch017"},{"issue":"11","key":"12_CR58","first-page":"6","volume":"94","author":"P Choukikar","year":"2014","unstructured":"Choukikar, P., Patel, A., Mishra, R.: Segmenting the optic disc in retinal images using thresholding. Int. J. Comput. Appl. 94(11), 6\u201310 (2014)","journal-title":"Int. J. Comput. Appl."},{"issue":"3","key":"12_CR59","doi-asserted-by":"publisher","first-page":"469","DOI":"10.7863\/ultra.34.3.469","volume":"34","author":"T Araki","year":"2015","unstructured":"Araki, T., Ikeda, N., Dey, N., Acharjee, S., Molinari, F., Saba, L., Godia, E.C., Nicolaides, A., Suri, J.S.: Shape-based approach for coronary calcium lesion volume measurement on intravascular ultrasound imaging and its association with carotid intima-media thickness. J Ultrasound Med. 34(3), 469\u201382 (2015). doi:10.7863\/ultra.34.3.469","journal-title":"J Ultrasound Med."},{"key":"12_CR60","first-page":"351","volume-title":"Advances in Intelligent Systems and Computing","author":"Sourav Samanta","year":"2015","unstructured":"Samanta, S., Ahmed, S., Salem, M., Nath, S., Dey, N., Chowdhury, S.: Haralick features based automated glaucoma classification using back propagation neural network. In: Proceedings of the 3rd International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA) 2014. Advances in Intelligent Systems and Computing, vol. 327, pp. 351\u2013358 (2015)"},{"issue":"2","key":"12_CR61","doi-asserted-by":"crossref","first-page":"158","DOI":"10.1016\/j.cmpb.2014.11.006","volume":"118","author":"Tadashi Araki","year":"2015","unstructured":"Araki, T., Ikeda, N., Dey, N., Chakraborty, S., Saba, L., Kumar, D., Godia, E.C., Xiaoyi J., Gupta, A., Radeva, P., Laird, J., Nicolaides, A., Suri, J.: A comparative approach of four different imageregistration techniques for quantitative assessment of coronary artery calcium lesionsusing intravascular ultrasound. Comput. Methods Programs Biomed. II8, 158\u2013172 (2015)","journal-title":"Computer Methods and Programs in Biomedicine"},{"key":"12_CR62","unstructured":"Salton, G., McGill, M.: Introduction to Modern Information Retrieval, Computer Science, Series. McGraw-Hill, Inc., New York (1986)"},{"issue":"111","key":"12_CR63","doi-asserted-by":"publisher","first-page":"2293","DOI":"10.1016\/j.ins.2011.01.029","volume":"181","author":"X Huang","year":"2011","unstructured":"Huang, X., Zheng, X., Yuan, W., Wang, F., Zhu, S.: Enhanced clustering of biomedical documents using ensemble non-negative matrix factorization. Inf. Sci. 181(111), 2293\u20132302 (2011)","journal-title":"Inf. Sci."},{"key":"12_CR64","doi-asserted-by":"crossref","unstructured":"Yoo, I., Xiaohua, H.: Biomedical ontology MeSH improves document clustering qualify on MEDLINE articles: a comparison study. In: 19th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2006, pp. 577\u2013582 (2006)","DOI":"10.1109\/CBMS.2006.62"},{"issue":"2","key":"12_CR65","first-page":"111","volume":"1","author":"J Manicassamy","year":"2009","unstructured":"Manicassamy, J., Dhavachelvan, P.: Rank based clustering for document retrieval from biomedical databases. In. J. Comput. Sci. Eng. 1(2), 111\u2013115 (2009)","journal-title":"In. J. Comput. Sci. Eng."},{"key":"12_CR66","doi-asserted-by":"crossref","unstructured":"Zhang, X., Jing, L., Hu, X., Ng, M., Zhou, X.: A Comparative Study of Ontology Based Term Similarity Measures on Pubmed Document Clustering, vol. 4443, pp. 115\u2013126. Springer, Berlin\/Heidelberg (2007)","DOI":"10.1007\/978-3-540-71703-4_12"},{"issue":"1","key":"12_CR67","doi-asserted-by":"crossref","first-page":"160","DOI":"10.1109\/5326.661099","volume":"28","author":"L.I. Kuncheva","year":"1998","unstructured":"Kuncheva, L., Bezdek, J.: Nearest prototype classification: Clustering, genetic algorithms or random search. IEEE Trans. Syst. Man Cybern. Part B 28(1), 160\u2013164 (1998)","journal-title":"IEEE Transactions on Systems, Man and Cybernetics, Part C (Applications and Reviews)"},{"issue":"3","key":"12_CR68","doi-asserted-by":"crossref","first-page":"433","DOI":"10.1109\/3477.764879","volume":"29","author":"K. Krishna","year":"1999","unstructured":"Krishna, K., Murty, M.: Genetic K-means algorithm. IEEE Trans. Syst. Man Cybern. Part B 29(9), 433\u2013439 (1999)","journal-title":"IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics)"},{"issue":"1","key":"12_CR69","doi-asserted-by":"crossref","first-page":"61","DOI":"10.1016\/S0167-8655(99)00133-6","volume":"21","author":"Pasi Fr\u00e4nti","year":"2000","unstructured":"Fr\u00e4nti, P.: Genetic algorithm with deterministic crossover for vector quantization. Pattern Recognit. Lett. 21(1), 61\u201368 (2000)","journal-title":"Pattern Recognition Letters"},{"key":"12_CR70","doi-asserted-by":"publisher","first-page":"1439","DOI":"10.1016\/j.patrec.2004.05.007","volume":"25","author":"S Mitra","year":"2004","unstructured":"Mitra, S.: An evolutionary rough partitive clustering. Pattern Recognit. Lett. 25, 1439\u20131449 (2004)","journal-title":"Pattern Recognit. Lett."},{"issue":"16","key":"12_CR71","doi-asserted-by":"publisher","first-page":"1998","DOI":"10.1016\/j.patrec.2006.06.001","volume":"27","author":"J Martnez-Otzeta","year":"2006","unstructured":"Martnez-Otzeta, J., Sierra, B., Lazkano, E., Astigarraga, A.: Classifier hierarchy learning by means of genetic algorithms. Pattern Recognit. Lett. 27(16), 1998\u20132004 (2006)","journal-title":"Pattern Recognit. Lett."},{"key":"12_CR72","doi-asserted-by":"publisher","first-page":"365","DOI":"10.1016\/0031-3203(79)90049-9","volume":"11","author":"A Lukasova","year":"1979","unstructured":"Lukasova, A.: Hierarchical agglomerative clustering procedure. Pattern Recognit. 11, 365\u2013381 (1979)","journal-title":"Pattern Recognit."},{"issue":"9","key":"12_CR73","doi-asserted-by":"publisher","first-page":"1455","DOI":"10.1016\/S0031-3203(99)00137-5","volume":"33","author":"U Maulik","year":"2000","unstructured":"Maulik, U., Bandyopadhyay, S.: Genetic algorithm based clustering technique. Pattern Recognit. 33(9), 1455\u20131460 (2000)","journal-title":"Pattern Recognit."}],"container-title":["Intelligent Systems Reference Library","Applications of Intelligent Optimization in Biology and Medicine"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-21212-8_12","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,5,29]],"date-time":"2025-05-29T11:52:45Z","timestamp":1748519565000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-319-21212-8_12"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,7,19]]},"ISBN":["9783319212111","9783319212128"],"references-count":73,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-21212-8_12","relation":{},"ISSN":["1868-4394","1868-4408"],"issn-type":[{"type":"print","value":"1868-4394"},{"type":"electronic","value":"1868-4408"}],"subject":[],"published":{"date-parts":[[2015,7,19]]},"assertion":[{"value":"19 July 2015","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}}]}}