{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T21:41:21Z","timestamp":1743025281565,"version":"3.40.3"},"publisher-location":"Cham","reference-count":23,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319165486"},{"type":"electronic","value":"9783319165493"}],"license":[{"start":{"date-parts":[[2015,1,1]],"date-time":"2015-01-01T00:00:00Z","timestamp":1420070400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2015,1,1]],"date-time":"2015-01-01T00:00:00Z","timestamp":1420070400000},"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":[[2015]]},"DOI":"10.1007\/978-3-319-16549-3_47","type":"book-chapter","created":{"date-parts":[[2015,3,16]],"date-time":"2015-03-16T05:30:34Z","timestamp":1426483834000},"page":"579-589","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Applying Non-dominated Sorting Genetic Algorithm II to Multi-objective Optimization of a Weighted Multi-metric Distance for Performing Data Mining Tasks"],"prefix":"10.1007","author":[{"given":"Muhammad Marwan","family":"Muhammad Fuad","sequence":"first","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2015,3,17]]},"reference":[{"key":"47_CR1","volume-title":"Data Mining Practical Machine Learning Tools and Techniques","author":"IH Witten","year":"2009","unstructured":"Witten, I.H., Frank, E.: Data Mining Practical Machine Learning Tools and Techniques, Second Edition edn. Elsevier, Amsterdam (2009)","edition":"Second Edition"},{"key":"47_CR2","doi-asserted-by":"crossref","unstructured":"Muhammad Fuad, M.M.: Differential evolution versus genetic algorithms: towards symbolic aggregate approximation of non-normalized time series. In: Sixteenth International Database Engineering & Applications Symposium\u2013 IDEAS 2012. BytePress\/ACM, Prague, Czech Republic, 8\u201310 August 2012","DOI":"10.1145\/2351476.2351501"},{"key":"47_CR3","unstructured":"Muhammad Fuad, M.M.: Using differential evolution to set weights to segments with different information content in the piecewise aggregate approximation. In: 16th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems, KES 2012, Frontiers of Artificial Intelligence and Applications (FAIA). IOS Press, San Sebastian, Spain, 10\u201312 September 2012"},{"key":"47_CR4","volume-title":"Data Mining in Time Series Databases","author":"H Bunke","year":"2003","unstructured":"Bunke, H., Kraetzl, M.: Classification and detection of abnormal events in time series of graphs. In: Last, M., Kandel, A., Bunke, H. (eds.) Data Mining in Time Series Databases. World Scientific, New Jersey (2003)"},{"key":"47_CR5","volume-title":"Data Mining: Concepts, Models and Techniques","author":"F Gorunescu","year":"2006","unstructured":"Gorunescu, F.: Data Mining: Concepts, Models and Techniques. Blue Publishing House, Cluj-Napoca (2006)"},{"key":"47_CR6","volume-title":"Data Mining in Time Series Databases","author":"M Vlachos","year":"2003","unstructured":"Vlachos, M., Gunopulos, D.: Indexing time-series under conditions of noise. In: Last, M., Kandel, A., Bunke, H. (eds.) Data Mining in Time Series Databases. World Scientific, New Jersey (2003)"},{"key":"47_CR7","volume-title":"Data Mining: Concepts and Techniques","author":"J Han","year":"2011","unstructured":"Han, J., Kamber, M., Pei, J.: Data Mining: Concepts and Techniques, 3rd edn. Morgan Kaufmann, Burlington (2011)","edition":"3"},{"key":"47_CR8","volume-title":"Discovering Knowledge in Data: An Introduction to Data Mining","author":"DT Larose","year":"2005","unstructured":"Larose, D.T.: Discovering Knowledge in Data: An Introduction to Data Mining. Wiley, New York (2005)"},{"issue":"7","key":"47_CR9","doi-asserted-by":"publisher","first-page":"881","DOI":"10.1109\/TPAMI.2002.1017616","volume":"24","author":"T Kanungo","year":"2002","unstructured":"Kanungo, T., Netanyahu, N.S., Wu, A.Y.: An efficient k-means clustering algorithm: analysis and implementation. IEEE Trans. Pattern Anal. Mach. Intell. 24(7), 881\u2013892 (2002)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"47_CR10","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"193","DOI":"10.1007\/978-3-319-13749-0_17","volume-title":"Theory and Practice of Natural Computing","author":"MM Muhammad Fuad","year":"2014","unstructured":"Muhammad Fuad, M.M.: Differential evolution-based weighted combination of distance metrics for k-means clustering. In: Dediu, A.-H., Lozano, M., Mart\u00edn-Vide, C. (eds.) TPNC 2014. LNCS, vol. 8890, pp. 193\u2013204. Springer, Heidelberg (2014)"},{"key":"47_CR11","volume-title":"Similarity Search - The Metric Space Approach","author":"P Zezula","year":"2005","unstructured":"Zezula, P., et al.: Similarity Search - The Metric Space Approach. Springer, New York (2005)"},{"key":"47_CR12","volume-title":"Dynamic Similarity Search in Multi-metric Spaces. Proceedings of the ACM Multimedia, MIR Workshop","author":"B Bustos","year":"2006","unstructured":"Bustos, B., Skopal, T.: Dynamic Similarity Search in Multi-metric Spaces. Proceedings of the ACM Multimedia, MIR Workshop. ACM Press, New York (2006)"},{"key":"47_CR13","unstructured":"Bustos, B., Keim, D.A., Saupe, D., Schreck, T., Vranic, D.: Automatic selection and combination of descriptors for effective 3D similarity search. In: Proceedings of the IEEE International Workshop on Multimedia Content-based Analysis and Retrieval. IEEE Computer Society (2004)"},{"key":"47_CR14","doi-asserted-by":"publisher","DOI":"10.1201\/9781420011326","volume-title":"Genetic Algorithms and Genetic Programming Modern Concepts and Practical Applications","author":"M Affenzeller","year":"2009","unstructured":"Affenzeller, M., Winkler, S., Wagner, S., Beham, A.: Genetic Algorithms and Genetic Programming Modern Concepts and Practical Applications. Chapman and Hall\/CRC, Boca Raton (2009)"},{"key":"47_CR15","volume-title":"Metaheuristics: from Design to Implementation","author":"T El-Ghazali","year":"2009","unstructured":"El-Ghazali, T.: Metaheuristics: from Design to Implementation. John Wiley & Sons Inc, Hoboken (2009)"},{"issue":"3","key":"47_CR16","doi-asserted-by":"publisher","first-page":"221","DOI":"10.1162\/evco.1994.2.3.221","volume":"2","author":"N Srinivas","year":"1995","unstructured":"Srinivas, N., Deb, K.: Multi-objective function optimization using non-dominated sorting genetic algorithms. J. Evol. Comput. 2(3), 221\u2013248 (1995)","journal-title":"J. Evol. Comput."},{"key":"47_CR17","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-16615-0","volume-title":"Multiobjective Genetic Algorithms for Clustering","author":"U Maulik","year":"2011","unstructured":"Maulik, U., Bandyopadhyay, S., Mukhopadhyay, A.: Multiobjective Genetic Algorithms for Clustering. Springer-Verlag GmbH, Heidelberg (2011)"},{"key":"47_CR18","doi-asserted-by":"crossref","unstructured":"Deb, K., Pratap, A., Agarwal, S., Meyarivan, T.: A fast and elitist multiobjective genetic algorithm: NSGA-II. In: IEEE Trans Evolutionary Computation (2002)","DOI":"10.1109\/4235.996017"},{"key":"47_CR19","doi-asserted-by":"crossref","unstructured":"Ma, Q., Xu, D., Iv, P., Shi, Y.: Application of NSGA-II in parameter optimization of extended state observer. In: Challenges of Power Engineering and Environment (2007)","DOI":"10.1007\/978-3-540-76694-0_109"},{"key":"47_CR20","unstructured":"Keogh, E., Zhu, Q., Hu, B., Hao. Y., Xi, X., Wei, L., Ratanamahatana C.A.: The UCR time series classification\/clustering homepage (2011). www.cs.ucr.edu\/~eamonn\/time_series_data\/"},{"key":"47_CR21","doi-asserted-by":"crossref","unstructured":"Ding, H., Trajcevski, G., Scheuermann, P., Wang, X., Keogh, E.: Querying and mining of time series data: experimental comparison of representations and distance measures. In: Proceedings of the 34th VLDB (2008)","DOI":"10.14778\/1454159.1454226"},{"key":"47_CR22","unstructured":"Muhammad Fuad, M.M.: One-step or two-step optimization and the overfitting phenomenon: a case study on time series classification. In: The 6th International Conference on Agents and Artificial Intelligence- ICAART 2014. SCITEPRESS Digital Library, Angers, France, 6\u20138 March 2014"},{"key":"47_CR23","doi-asserted-by":"crossref","unstructured":"Muhammad Fuad, M.M.: On the application of bio-inspired optimization algorithms to fuzzy c-means clustering of time series. In: The 4th International Conference on Pattern Recognition Applications and Methods - ICPRAM 2015. SCITEPRESS Digital Library, Lisbon, Portugal, 10\u201312 January 2015","DOI":"10.5220\/0005276203480353"}],"container-title":["Lecture Notes in Computer Science","Applications of Evolutionary Computation"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-16549-3_47","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,2,20]],"date-time":"2023-02-20T22:56:47Z","timestamp":1676933807000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-319-16549-3_47"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015]]},"ISBN":["9783319165486","9783319165493"],"references-count":23,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-16549-3_47","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2015]]},"assertion":[{"value":"17 March 2015","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}}]}}