{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,27]],"date-time":"2025-06-27T04:14:16Z","timestamp":1750997656514,"version":"3.41.0"},"publisher-location":"Cham","reference-count":29,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319685045"},{"type":"electronic","value":"9783319685052"}],"license":[{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"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":[[2017]]},"DOI":"10.1007\/978-3-319-68505-2_45","type":"book-chapter","created":{"date-parts":[[2017,10,30]],"date-time":"2017-10-30T01:08:03Z","timestamp":1509325683000},"page":"519-530","source":"Crossref","is-referenced-by-count":1,"title":["An Improved Artificial Immune Network Based on the Secondary Immune Mechanism for Data Clustering"],"prefix":"10.1007","author":[{"given":"Yangyang","family":"Li","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaoju","family":"Hou","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Licheng","family":"Jiao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yu","family":"Xue","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2017,10,31]]},"reference":[{"key":"45_CR1","first-page":"16","volume":"9","author":"W Zhao","year":"2014","unstructured":"Zhao, W., Ying, X., Ping, L.: Research on clustering analysis and its application in customer data mining of enterprise. Int. J. Technol. Manag. 9, 16\u201319 (2014)","journal-title":"Int. J. Technol. Manag."},{"issue":"6","key":"45_CR2","first-page":"1250031-1","volume":"21","author":"MR Malim","year":"2013","unstructured":"Malim, M.R., Halim, F.A.: Immunology and artificial immune systems. Int. J. Artif. Intell. Tools 21(6), 1250031-1\u20131250031-27 (2013)","journal-title":"Int. J. Artif. Intell. Tools"},{"key":"45_CR3","doi-asserted-by":"crossref","unstructured":"Dasgupta, D., Ji, Z., Gonzalez, F.: Artificial immune system (AIS) research in the last five years. In: The 2003 Congress on Evolutionary Computation (CEC 2003), vol. 1, pp. 123\u2013130. IEEE Xplore (2004)","DOI":"10.1109\/CEC.2003.1299565"},{"key":"45_CR4","doi-asserted-by":"crossref","unstructured":"Xue, Y., Jiang, J., Zhao, B., Ma, T.: A self-adaptive artificial bee colony algorithm based on global best for global optimization. Soft Comput. 1\u201318 (2017)","DOI":"10.1007\/s00500-017-2547-1"},{"key":"45_CR5","doi-asserted-by":"crossref","unstructured":"Sifei, W., Xu, J.: An artificial immune clustering approach to unsupervised network intrusion detection. In: International Symposium on Data, Privacy, and e-Commerce, pp. 511\u2013513. IEEE (2007)","DOI":"10.1109\/ISDPE.2007.84"},{"issue":"3","key":"45_CR6","doi-asserted-by":"crossref","first-page":"239","DOI":"10.1109\/TEVC.2002.1011539","volume":"6","author":"LN Castro De","year":"2002","unstructured":"De Castro, L.N., Von Zuben, F.J.: Learning and optimization using the clonal selection principle. IEEE Trans. Evol. Comput. 6(3), 239\u2013251 (2002)","journal-title":"IEEE Trans. Evol. Comput."},{"key":"45_CR7","unstructured":"Castro, L.N.D., Zuben, F.J.V.: The clonal selection algorithm with engineering applications. In: Workshop Proceedings, GECCO 2002, pp. 36\u201337 (2001)"},{"key":"45_CR8","unstructured":"Castro, L.N.D., Zuben, F.J.V.: An evolutionary immune network for data clustering. In: Brazilian Symposium on Neural Networks, pp. 84\u201389. IEEE (2000)"},{"key":"45_CR9","doi-asserted-by":"crossref","unstructured":"Yue, X., Chi, Z., Hao, Y.: Incremental clustering algorithm of data stream based on artificial immune network. In: World Congress on Intelligent Control and Automation, pp. 4021\u20134025. IEEE (2006)","DOI":"10.1109\/WCICA.2006.1713128"},{"key":"45_CR10","doi-asserted-by":"crossref","unstructured":"Gonzalez, F., Dasgupta, D., Kozma, R.: Combining negative selection and classification techniques for anomaly detection. In: Congress on Evolutionary Computation, vol. 1, No. 11, pp. 705\u2013710. IEEE (2002)","DOI":"10.1109\/CEC.2002.1007012"},{"key":"45_CR11","unstructured":"Ng, A.Y., Jordan, M.I., Weiss, Y.: On spectral clustering: analysis and an algorithm. In: Proceedings of Advances in Neural Information Processing Systems 14, pp. 849\u2013856 (2002)"},{"issue":"3","key":"45_CR12","doi-asserted-by":"crossref","first-page":"541","DOI":"10.1007\/s10115-013-0649-3","volume":"40","author":"RJ Kuo","year":"2014","unstructured":"Kuo, R.J., Chen, S.S., Cheng, W.C.: Integration of artificial immune network and K-means for cluster analysis. Knowl. Inf. Syst. 40(3), 541\u2013557 (2014)","journal-title":"Knowl. Inf. Syst."},{"issue":"3","key":"45_CR13","first-page":"995","volume":"27","author":"CT Chang","year":"2011","unstructured":"Chang, C.T., Lai, J.Z.C., Jeng, M.D.: A fuzzy K-means clustering algorithm using cluster center displacement. J. Inf. Sci. Eng. 27(3), 995\u20131009 (2011)","journal-title":"J. Inf. Sci. Eng."},{"key":"45_CR14","doi-asserted-by":"crossref","unstructured":"Li, Z., Fang, X., Zhou, J.: Optimal data clustering by using artificial immune network with elitist learning. In: China Control and Decision Conference, pp. 5192\u20135197 (2014)","DOI":"10.1109\/CCDC.2014.6853107"},{"key":"45_CR15","unstructured":"Nunes, L., Jos\u00e9, F., Zuben, V.: aiNet: an artificial immune network for data analysis. In: Data Mining a Heuristic Approach (2002)"},{"issue":"3","key":"45_CR16","doi-asserted-by":"crossref","first-page":"121","DOI":"10.1016\/S0950-7051(01)00088-0","volume":"14","author":"J Timmis","year":"2001","unstructured":"Timmis, J., Neal, M.: A resource limited artificial immune system for data analysis. Knowl.-Based Syst. 14(3), 121\u2013130 (2001)","journal-title":"Knowl.-Based Syst."},{"key":"45_CR17","unstructured":"Li, J.: Study on New Algorithm of Fuzzy Clustering Based on Natural Computing. Xidian University (2004)"},{"key":"45_CR18","doi-asserted-by":"crossref","unstructured":"Qing, J., Liang, X., Bie, R.: A new clustering algorithm based on artificial immune network and K-means method. In: International Conference on Natural Computation, pp. 2826\u20132830 (2010)","DOI":"10.1109\/ICNC.2010.5583507"},{"issue":"2","key":"45_CR19","first-page":"587","volume":"11","author":"X Hu","year":"2015","unstructured":"Hu, X., Liu, X., Li, T.: Dynamically real-time intrusion detection algorithm with immune network. J. Comput. Inf. Syst. 11(2), 587\u2013594 (2015)","journal-title":"J. Comput. Inf. Syst."},{"issue":"7","key":"45_CR20","doi-asserted-by":"crossref","first-page":"902","DOI":"10.1109\/TKDE.2005.112","volume":"17","author":"M Laszlo","year":"2005","unstructured":"Laszlo, M., Mukherjee, S.: Minimum spanning tree partitioning algorithm for microaggregation. IEEE Trans. Knowl. Data Eng. 17(7), 902\u2013911 (2005)","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"45_CR21","doi-asserted-by":"crossref","unstructured":"Shi, X., Feng, Q.: An optimization algorithm based on multi-population artificial immune network. In: Fifth International Conference on Natural Computation, pp. 379\u2013383. IEEE Computer Society (2009)","DOI":"10.1109\/ICNC.2009.574"},{"key":"45_CR22","unstructured":"Castro, L.N.D., Timmis, J.: An artificial immune network for multimodal function optimization. In: Congress on Evolutionary Computation (CEC 2002), pp. 289\u2013296. IEEE (2005)"},{"key":"45_CR23","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"530","DOI":"10.1007\/BFb0056895","volume-title":"Parallel Problem Solving from Nature \u2014 PPSN V","author":"MA Potter","year":"1998","unstructured":"Potter, M.A., De Jong, K.A.: The coevolution of antibodies for concept learning. In: Eiben, A.E., B\u00e4ck, T., Schoenauer, M., Schwefel, H.-P. (eds.) PPSN 1998. LNCS, vol. 1498, pp. 530\u2013539. Springer, Heidelberg (1998). doi: 10.1007\/BFb0056895"},{"key":"45_CR24","doi-asserted-by":"crossref","unstructured":"Wu, L., Peng, L., Ye, Y.L.: An evolutionary immune network based on kernel method for data clustering. In: International Conference on Machine Learning and Cybernetics, pp. 1759\u20131764. IEEE Xplore (2007)","DOI":"10.1109\/ICMLC.2007.4370432"},{"issue":"5","key":"45_CR25","doi-asserted-by":"crossref","first-page":"483","DOI":"10.1007\/s00607-014-0433-6","volume":"97","author":"AM Karimi-Majd","year":"2015","unstructured":"Karimi-Majd, A.M., Fathian, M., Amiri, B.: A hybrid artificial immune network for detecting communities in complex networks. Computing 97(5), 483\u2013507 (2015)","journal-title":"Computing"},{"issue":"4","key":"45_CR26","doi-asserted-by":"crossref","first-page":"1503","DOI":"10.1007\/s00500-015-1602-z","volume":"20","author":"R Shang","year":"2016","unstructured":"Shang, R., Li, Y., Jiao, L.: Co-evolution-based immune clonal algorithm for clustering. Soft Comput. 20(4), 1503\u20131519 (2016)","journal-title":"Soft Comput."},{"key":"45_CR27","doi-asserted-by":"crossref","unstructured":"Jiang, P., Zhang, C., Guo, G.: A K-means approach based on concept hierarchical tree for search results clustering. In: Sixth International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2009, vol. 1, pp. 380\u2013386 (2009)","DOI":"10.1109\/FSKD.2009.658"},{"issue":"5","key":"45_CR28","doi-asserted-by":"crossref","first-page":"688","DOI":"10.1016\/j.patrec.2007.12.002","volume":"29","author":"S Das","year":"2008","unstructured":"Das, S., Abraham, A., Konar, A.: Automatic kernel clustering with a multi-elitist particle swarm optimization algorithm. Pattern Recogn. Lett. 29(5), 688\u2013699 (2008)","journal-title":"Pattern Recogn. Lett."},{"issue":"1","key":"45_CR29","doi-asserted-by":"crossref","first-page":"56","DOI":"10.1109\/TEVC.2006.877146","volume":"11","author":"J Handl","year":"2007","unstructured":"Handl, J., Knowles, J.: An evolutionary approach to multiobjective clustering. IEEE Trans. Evol. Comput. 11(1), 56\u201376 (2007)","journal-title":"IEEE Trans. Evol. Comput."}],"container-title":["Lecture Notes in Computer Science","Cloud Computing and Security"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-68505-2_45","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,26]],"date-time":"2025-06-26T19:52:53Z","timestamp":1750967573000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-68505-2_45"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"ISBN":["9783319685045","9783319685052"],"references-count":29,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-68505-2_45","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2017]]}}}