{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,15]],"date-time":"2025-11-15T10:27:08Z","timestamp":1763202428953,"version":"3.40.3"},"publisher-location":"Singapore","reference-count":22,"publisher":"Springer Singapore","isbn-type":[{"type":"print","value":"9789811557873"},{"type":"electronic","value":"9789811557880"}],"license":[{"start":{"date-parts":[[2020,9,9]],"date-time":"2020-09-09T00:00:00Z","timestamp":1599609600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,9,9]],"date-time":"2020-09-09T00:00:00Z","timestamp":1599609600000},"content-version":"vor","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":[[2021]]},"DOI":"10.1007\/978-981-15-5788-0_3","type":"book-chapter","created":{"date-parts":[[2020,9,8]],"date-time":"2020-09-08T08:02:45Z","timestamp":1599552165000},"page":"17-32","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Feature Selection Using Ant Colony Optimization and Weighted Visibility Graph"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4431-4928","authenticated-orcid":false,"given":"Leena C.","family":"Sekhar","sequence":"first","affiliation":[]},{"given":"R.","family":"Vijayakumar","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,9,9]]},"reference":[{"issue":"2","key":"3_CR1","first-page":"127","volume":"12","author":"S Kashef","year":"2015","unstructured":"Kashef, S., Nezamabadi, P.H.: Introducing a new version of binary ant colony algorithm to solve the problem of feature selection. Sci. Inf. Database 12(2), 127\u2013134 (2015)","journal-title":"Sci. Inf. Database"},{"key":"3_CR2","doi-asserted-by":"publisher","first-page":"27","DOI":"10.1016\/j.eswa.2016.01.021","volume":"53","author":"BZ Dadaneh","year":"2016","unstructured":"Dadaneh, B.Z., Markid, H.Y., Zakerolhosseini, A.: Unsupervised probabilistic feature selection using ant colony optimization. Expert Syst. Appl. 53, 27\u201342 (2016)","journal-title":"Expert Syst. Appl."},{"key":"3_CR3","doi-asserted-by":"publisher","first-page":"248","DOI":"10.1016\/j.asoc.2016.08.011","volume":"49","author":"Y Wan","year":"2016","unstructured":"Wan, Y., Wang, M., Ye, Z., Lai, X.: A feature selection method based on modified binary coded ant colony optimization algorithm. Appl. Soft Comput. 49, 248\u2013258 (2016)","journal-title":"Appl. Soft Comput."},{"key":"3_CR4","doi-asserted-by":"publisher","first-page":"3240","DOI":"10.1016\/j.eswa.2008.01.009","volume":"36","author":"MF Akay","year":"2009","unstructured":"Akay, M.F.: Support vector machines combined with feature selection for breast cancer diagnosis. Expert Syst. Appl. 36, 3240\u20133247 (2009)","journal-title":"Expert Syst. Appl."},{"doi-asserted-by":"crossref","unstructured":"Deriche, M.: Feature selection using ant colony optimization. In: 6th International Multi-conference Systems, Signals and Devices. SSD\u201909, pp. 1\u20134 (2009)","key":"3_CR5","DOI":"10.1109\/SSD.2009.4956825"},{"key":"3_CR6","doi-asserted-by":"publisher","first-page":"144","DOI":"10.1016\/j.knosys.2015.04.007","volume":"84","author":"P Moradi","year":"2015","unstructured":"Moradi, P., Rostami, M.: Integration of graph clustering with ant colony optimization for feature selection. Knowl. Based Syst. 84, 144\u2013161 (2015)","journal-title":"Knowl. Based Syst."},{"doi-asserted-by":"crossref","unstructured":"Dorigo, M., Stutzle, T.: Ant colony optimization. Encylopedia of Machine Learning (2010)","key":"3_CR7","DOI":"10.1002\/9780470400531.eorms0030"},{"key":"3_CR8","doi-asserted-by":"publisher","first-page":"11","DOI":"10.1016\/j.swevo.2015.02.003","volume":"23","author":"I Ariyasingha","year":"2015","unstructured":"Ariyasingha, I., Fernando, T.: Performance analysis of the multi-objective ant colony optimization algorithms for the traveling salesman problem. Swarm Evol. Comput. 23, 11\u201326 (2015)","journal-title":"Swarm Evol. Comput."},{"doi-asserted-by":"crossref","unstructured":"Abd-Alsabour, N., Randall, M.: Feature selection for classification using an ant colony system. In: Sixth IEEE International Conference on e\u2013Science Workshops (2010)","key":"3_CR9","DOI":"10.1109\/eScienceW.2010.23"},{"doi-asserted-by":"crossref","unstructured":"Mohammed, S.K., Deeba, F., Bui, F.M., Wahid, K.A.: Feature selection using modified ant colony optimization for wireless capsule endoscopy. In: Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON), IEEE Annual, pp. 1\u20134 (2016)","key":"3_CR10","DOI":"10.1109\/UEMCON.2016.7777925"},{"key":"3_CR11","doi-asserted-by":"publisher","first-page":"123","DOI":"10.1007\/s11721-016-0122-5","volume":"10","author":"HD Men\u00e9ndez","year":"2016","unstructured":"Men\u00e9ndez, H.D., Otero, F.E., Camacho, D.: Medoid-based clustering using ant colony optimization. Swarm Intell. 10, 123\u2013145 (2016)","journal-title":"Swarm Intell."},{"key":"3_CR12","doi-asserted-by":"publisher","first-page":"107","DOI":"10.1007\/s41650-017-0033-7","volume":"2","author":"VR Balasaraswathi","year":"2017","unstructured":"Balasaraswathi, V.R., Sugumaran, M., Hamid, Y.: Feature selection techniques for intrusion detection using non-bio-inspired and bio-inspired optimization algorithms. J. Commun. Inf. Netw. 2, 107\u2013119 (2017)","journal-title":"J. Commun. Inf. Netw."},{"doi-asserted-by":"crossref","unstructured":"Schiezaro, M., Pedrini, H.: Data feature selection based on Artificial Bee Colony algorithm. EURASIP J. Image Video Process. 47 (2013)","key":"3_CR13","DOI":"10.1186\/1687-5281-2013-47"},{"key":"3_CR14","doi-asserted-by":"publisher","first-page":"231","DOI":"10.1016\/S1672-6529(13)60219-X","volume":"10","author":"Y Li","year":"2013","unstructured":"Li, Y., Wang, G., Chen, H., Shi, L., Qin, L.: An ant colony optimization based dimension reduction method for high-dimensional datasets. J. Bionic Eng. 10, 231\u2013241 (2013)","journal-title":"J. Bionic Eng."},{"doi-asserted-by":"crossref","unstructured":"Moosa, J.M., Shakur, R., Kaykobad, M., Rahman, M.S.: Gene selection for cancer classification with the help of bees. BMC Med. Genomics 9 (2016)","key":"3_CR15","DOI":"10.1186\/s12920-016-0204-7"},{"key":"3_CR16","doi-asserted-by":"publisher","first-page":"27","DOI":"10.1016\/j.swevo.2017.04.002","volume":"36","author":"P Shunmugapriya","year":"2017","unstructured":"Shunmugapriya, P., Kanmani, S.: A hybrid algorithm using ant and bee colony optimization for feature selection and classification (AC-ABC Hybrid). Swarm Evol. Comput. 36, 27\u201336 (2017)","journal-title":"Swarm Evol. Comput."},{"key":"3_CR17","doi-asserted-by":"publisher","first-page":"6554","DOI":"10.1109\/ACCESS.2016.2612242","volume":"4","author":"S Supriya","year":"2016","unstructured":"Supriya, S., Siuly, S., Wang, H., Cao, J., Zhang, Y.: Weighted visibility graph with complex network features in the detection of epilepsy. IEEE Access 4, 6554\u20136566 (2016)","journal-title":"IEEE Access"},{"issue":"13","key":"3_CR18","doi-asserted-by":"publisher","first-page":"4972","DOI":"10.1073\/pnas.0709247105","volume":"105","author":"L Lacasa","year":"2008","unstructured":"Lacasa, L., Luque, B., Ballesteros, F., Luque, J., Nuno, J.C.: From time series to complex networks: the visibility graph. Proc. Natl. Acad. Sci. U. S. A. 105(13), 4972\u20134975 (2008)","journal-title":"Proc. Natl. Acad. Sci. U. S. A."},{"issue":"3","key":"3_CR19","doi-asserted-by":"publisher","first-page":"131","DOI":"10.3233\/IDA-1997-1302","volume":"1","author":"M Dash","year":"1997","unstructured":"Dash, M., Liu, H.: Feature selection for classification. Intell. Data Anal. 1(3), 131\u2013156 (1997)","journal-title":"Intell. Data Anal."},{"key":"3_CR20","doi-asserted-by":"publisher","first-page":"56","DOI":"10.1016\/j.neucom.2016.07.080","volume":"256","author":"H Lu","year":"2017","unstructured":"Lu, H., Chen, J., Yan, K., Jin, Q., Xue, Y., Gao, Z.: A hybrid feature selection algorithm for gene expression data classification. Neurocomputing 256, 56\u201362 (2017)","journal-title":"Neurocomputing"},{"doi-asserted-by":"crossref","unstructured":"Zorarpac\u0131, E., \u00d6zel, S.A.: A hybrid approach of differential evolution and artificial bee colony for feature selection. Expert Syst. Appl. 62(C), 91\u2013103 (2016)","key":"3_CR21","DOI":"10.1016\/j.eswa.2016.06.004"},{"doi-asserted-by":"crossref","unstructured":"Bhateja, V., et al.: Ant colony optimization based anisotropic diffusion for despeckling of SAR images. In: International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision making, pp. 389\u2013396. Springer, Cham (2016)","key":"3_CR22","DOI":"10.1007\/978-3-319-49046-5_33"}],"container-title":["Advances in Intelligent Systems and Computing","Evolution in Computational Intelligence"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-15-5788-0_3","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,9,8]],"date-time":"2020-09-08T08:03:01Z","timestamp":1599552181000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-981-15-5788-0_3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,9,9]]},"ISBN":["9789811557873","9789811557880"],"references-count":22,"URL":"https:\/\/doi.org\/10.1007\/978-981-15-5788-0_3","relation":{},"ISSN":["2194-5357","2194-5365"],"issn-type":[{"type":"print","value":"2194-5357"},{"type":"electronic","value":"2194-5365"}],"subject":[],"published":{"date-parts":[[2020,9,9]]},"assertion":[{"value":"9 September 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}}]}}