{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,19]],"date-time":"2026-02-19T19:26:35Z","timestamp":1771529195845,"version":"3.50.1"},"reference-count":50,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2026,2,19]],"date-time":"2026-02-19T00:00:00Z","timestamp":1771459200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,2,19]],"date-time":"2026-02-19T00:00:00Z","timestamp":1771459200000},"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":["Cluster Comput"],"published-print":{"date-parts":[[2026,6]]},"DOI":"10.1007\/s10586-026-06035-7","type":"journal-article","created":{"date-parts":[[2026,2,19]],"date-time":"2026-02-19T18:56:00Z","timestamp":1771527360000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Feature selection algorithm based on ant colony optimization and mutual information"],"prefix":"10.1007","volume":"29","author":[{"given":"Xiangyuan","family":"Gu","sequence":"first","affiliation":[]},{"given":"Xiaoming","family":"Li","sequence":"additional","affiliation":[]},{"given":"Wenjun","family":"Ke","sequence":"additional","affiliation":[]},{"given":"Zhongsong","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Yi","family":"Lv","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2026,2,19]]},"reference":[{"key":"6035_CR1","first-page":"1371","volume":"15","author":"MK Tan","year":"2014","unstructured":"Tan, M.K., Tsang, I.W., Wang, L.: Towards Ultrahigh Dimensional Feature Selection for Big Data. J. Mach. Learn. Res. 15, 1371\u20131429 (2014)","journal-title":"J. Mach. Learn. Res."},{"key":"6035_CR2","doi-asserted-by":"publisher","DOI":"10.1016\/j.swevo.2024.101661","author":"XF Song","year":"2024","unstructured":"Song, X.F., Zhang, Y., Zhang, W.Q., He, C.L., Hu, Y., Wang, J., Gong, D.W.: Evolutionary computation for feature selection in classification: A comprehensive survey of solutions, applications and challenges. Swarm and Evolutionary Computation (2024). https:\/\/doi.org\/10.1016\/j.swevo.2024.101661","journal-title":"Swarm and Evolutionary Computation"},{"key":"6035_CR3","doi-asserted-by":"publisher","DOI":"10.1007\/s10586-024-04807-7","volume":"28","author":"QH Ling","year":"2025","unstructured":"Ling, Q.H., Liu, W.K., Han, F., Shi, J.L., Hussein, A.A., Sayway, B.S.: Feature selection using importance-based two-stage multi-modal multiobjective particle swarm optimization. Cluster Computing 28, 115 (2025)","journal-title":"Cluster Computing"},{"key":"6035_CR4","doi-asserted-by":"publisher","first-page":"63","DOI":"10.1016\/j.patrec.2021.03.034","volume":"147","author":"K Thirumoorthy","year":"2021","unstructured":"Thirumoorthy, K., Muneeswaran, K.: Feature selection using hybrid poor and rich optimization algorithm for text classification. Pattern Recogn. Lett. 147, 63\u201370 (2021)","journal-title":"Pattern Recogn. Lett."},{"key":"6035_CR5","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2023.123119","author":"M Okkalioglu","year":"2024","unstructured":"Okkalioglu, M.: A novel redistribution-based feature selection for text classification. Expert Systems with Applications (2024). https:\/\/doi.org\/10.1016\/j.eswa.2023.123119","journal-title":"Expert Systems with Applications"},{"key":"6035_CR6","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2023.111218","author":"RR Mostafa","year":"2024","unstructured":"Mostafa, R.R., Khedr, A.M., Al Aghbari, Z., Afyouni, I., Kamel, I., Ahmed, N.: An adaptive hybrid mutated differential evolution feature selection method for low and high-dimensional medical datasets. Knowledge-Based Systems (2024). https:\/\/doi.org\/10.1016\/j.knosys.2023.111218","journal-title":"Knowledge-Based Systems"},{"issue":"1","key":"6035_CR7","doi-asserted-by":"publisher","first-page":"604","DOI":"10.1109\/TETCI.2023.3314548","volume":"8","author":"HR Ju","year":"2024","unstructured":"Ju, H.R., Yin, T., Huang, J.S., Ding, W.P., Yang, X.B.: Sparse Mutual Granularity-Based Feature Selection and its Application of Schizophrenia Patients. IEEE Transactions on Emerging Topics in Computational Intelligence 8(1), 604\u2013614 (2024)","journal-title":"IEEE Transactions on Emerging Topics in Computational Intelligence"},{"issue":"14","key":"6035_CR8","doi-asserted-by":"publisher","first-page":"19681","DOI":"10.1007\/s11042-019-7285-1","volume":"78","author":"XY Gu","year":"2019","unstructured":"Gu, X.Y., Guo, J.C.: A study on Subtractive Pixel Adjacency Matrix features. Multimedia Tools and Applications 78(14), 19681\u201319695 (2019)","journal-title":"Multimedia Tools and Applications"},{"issue":"1","key":"6035_CR9","doi-asserted-by":"publisher","first-page":"333","DOI":"10.1007\/s00500-019-03910-x","volume":"24","author":"XY Gu","year":"2020","unstructured":"Gu, X.Y., Guo, J.C., Wei, H.W., He, Y.H.: Spatial-domain steganalytic feature selection based on three-way interaction information and KS test. Soft. Comput. 24(1), 333\u2013340 (2020)","journal-title":"Soft. Comput."},{"issue":"2","key":"6035_CR10","doi-asserted-by":"publisher","first-page":"749","DOI":"10.1109\/TR.2020.2995724","volume":"70","author":"QB Yang","year":"2021","unstructured":"Yang, Q.B., Jia, X.D., Li, X., Feng, J.S., Li, W.Z., Lee, J.: Evaluating Feature Selection and Anomaly Detection Methods of Hard Drive Failure Prediction. IEEE Transactions on Reliability 70(2), 749\u2013760 (2021)","journal-title":"IEEE Transactions on Reliability"},{"key":"6035_CR11","doi-asserted-by":"publisher","DOI":"10.1186\/s40537-024-00892-y","author":"J Li","year":"2024","unstructured":"Li, J., Othman, M.S., Chen, H.W., Yusuf, L.M.: Optimizing IoT intrusion detection system: feature selection versus feature extraction in machine learning. Journal of Big Data (2024). https:\/\/doi.org\/10.1186\/s40537-024-00892-y","journal-title":"Journal of Big Data"},{"key":"6035_CR12","doi-asserted-by":"publisher","first-page":"70","DOI":"10.1016\/j.knosys.2014.03.022","volume":"64","author":"YS Zhang","year":"2014","unstructured":"Zhang, Y.S., Yang, A.R., Xiong, C., Wang, T., Zhang, Z.G.: Feature selection using data envelopment analysis. Knowledge-Based Systems 64, 70\u201380 (2014)","journal-title":"Knowledge-Based Systems"},{"key":"6035_CR13","doi-asserted-by":"crossref","unstructured":"Lewis, D.D.: Feature selection and feature extraction for text categorization. In: Proceedings of the workshop on speech and natural language, 212\u2013217 (1992)","DOI":"10.3115\/1075527.1075574"},{"issue":"8","key":"6035_CR14","doi-asserted-by":"publisher","first-page":"1226","DOI":"10.1109\/TPAMI.2005.159","volume":"27","author":"HC Peng","year":"2005","unstructured":"Peng, H.C., Long, F.H., Ding, C.: Feature selection based on mutual information: Criteria of max-dependency, max-relevance and min-redundancy. IEEE Trans. Pattern Anal. Mach. Intell. 27(8), 1226\u20131238 (2005)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"6035_CR15","doi-asserted-by":"publisher","first-page":"46","DOI":"10.1016\/j.patcog.2015.11.007","volume":"53","author":"NX Vinh","year":"2016","unstructured":"Vinh, N.X., Zhou, S., Chan, J., Bailey, J.: Can high-order dependencies improve mutual information based feature selection? Pattern Recognition 53, 46\u201358 (2016)","journal-title":"Pattern Recognition"},{"issue":"4","key":"6035_CR16","doi-asserted-by":"publisher","first-page":"2672","DOI":"10.1007\/s10489-020-01936-5","volume":"51","author":"XY Gu","year":"2021","unstructured":"Gu, X.Y., Guo, J.C., Li, C.Y., Xiao, L.J.: A feature selection algorithm based on redundancy analysis and interaction weight. Appl. Intell. 51(4), 2672\u20132686 (2021a)","journal-title":"Appl. Intell."},{"key":"6035_CR17","first-page":"1205","volume":"5","author":"L Yu","year":"2004","unstructured":"Yu, L., Liu, H.: Efficient feature selection via analysis of relevance and redundancy. J. Mach. Learn. Res. 5, 1205\u20131224 (2004)","journal-title":"J. Mach. Learn. Res."},{"key":"6035_CR18","doi-asserted-by":"crossref","unstructured":"Yu, K., Wu, X.D., Ding, W., Pei, J.: Towards Scalable and Accurate Online Feature Selection for Big Data. In: Proceedings of International Conference on Data Mining, 660\u2013669 (2014)","DOI":"10.1109\/ICDM.2014.63"},{"key":"6035_CR19","doi-asserted-by":"publisher","DOI":"10.1145\/2976744","author":"K Yu","year":"2016","unstructured":"Yu, K., Wu, X.D., Ding, W., Pei, J.: Scalable and Accurate Online Feature Selection for Big Data. ACM Transactions on Knowledge Discovery from Data (2016). https:\/\/doi.org\/10.1145\/2976744","journal-title":"ACM Transactions on Knowledge Discovery from Data"},{"issue":"2","key":"6035_CR20","first-page":"214","volume":"54","author":"XY Gu","year":"2021","unstructured":"Gu, X.Y., Guo, J.C., Li, C.Y., Xiao, L.J.: Feature subset selection algorithm based on symmetric uncertainty and three-way interaction information. Journal of Tianjin University (Science and Technology) 54(2), 214\u2013220 (2021b)","journal-title":"Journal of Tianjin University (Science and Technology)"},{"key":"6035_CR21","doi-asserted-by":"publisher","first-page":"216","DOI":"10.1016\/j.asoc.2018.10.017","volume":"74","author":"U Singh","year":"2019","unstructured":"Singh, U., Singh, S.N.: A new optimal feature selection scheme for classification of power quality disturbances based on ant colony framework. Applied Soft Computing 74, 216\u2013225 (2019)","journal-title":"Applied Soft Computing"},{"issue":"8","key":"6035_CR22","doi-asserted-by":"publisher","first-page":"5276","DOI":"10.1109\/TCYB.2022.3185554","volume":"53","author":"ZQ Wang","year":"2023","unstructured":"Wang, Z.Q., Gao, S.C., Zhou, M.C., Sato, S.H., Cheng, J.J., Wang, J.H.: Information-Theory-based Nondominated Sorting Ant Colony Optimization for Multiobjective Feature Selection in Classification. IEEE Transactions on Cybernetics 53(8), 5276\u20135289 (2023a)","journal-title":"IEEE Transactions on Cybernetics"},{"issue":"5","key":"6035_CR23","doi-asserted-by":"publisher","first-page":"1015","DOI":"10.1109\/TEVC.2021.3134804","volume":"26","author":"K Chen","year":"2022","unstructured":"Chen, K., Xue, B., Zhang, M.J., Zhou, F.Y.: Correlation-Guided Updating Strategy for Feature Selection in Classification With Surrogate-Assisted Particle Swarm Optimization. IEEE Trans. Evol. Comput. 26(5), 1015\u20131029 (2022)","journal-title":"IEEE Trans. Evol. Comput."},{"issue":"5","key":"6035_CR24","doi-asserted-by":"publisher","first-page":"1888","DOI":"10.1109\/TEVC.2024.3451688","volume":"29","author":"XF Song","year":"2025","unstructured":"Song, X.F., Ma, H., Zhang, Y., Gong, D.W., Guo, Y.N., Hu, Y.: A Streaming Feature Selection Method Based on Dynamic Feature Clustering and Particle Swarm Optimization. IEEE Trans. Evol. Comput. 29(5), 1888\u20131902 (2025)","journal-title":"IEEE Trans. Evol. Comput."},{"key":"6035_CR25","doi-asserted-by":"publisher","first-page":"634","DOI":"10.1016\/j.asoc.2018.10.036","volume":"74","author":"HD Rao","year":"2019","unstructured":"Rao, H.D., Shi, X.Z., Rodrigue, A.K., Feng, J.J., Xia, Y.C., Elhoseny, M., Yuan, X.H., Gu, L.C.: Feature selection based on artificial bee colony and gradient boosting decision tree. Appl. Soft Comput. 74, 634\u2013642 (2019)","journal-title":"Appl. Soft Comput."},{"issue":"6","key":"6035_CR26","doi-asserted-by":"publisher","first-page":"1566","DOI":"10.1109\/TEVC.2022.3159253","volume":"26","author":"CL He","year":"2022","unstructured":"He, C.L., Zhang, Y., Gong, D.W., Song, X.F., Sun, X.Y.: A Multitask Bee Colony Band Selection Algorithm With Variable-Size Clustering for Hyperspectral Images. IEEE Transactions on Evolutionary Computation 26(6), 1566\u20131580 (2022)","journal-title":"IEEE Transactions on Evolutionary Computation"},{"issue":"11","key":"6035_CR27","doi-asserted-by":"publisher","first-page":"6858","DOI":"10.1109\/TCYB.2022.3163577","volume":"53","author":"JH Zhou","year":"2023","unstructured":"Zhou, J.H., Wu, Q.W., Zhou, M.C., Wen, J.H., Al-Turki, Y., Abusorrah, A.: LAGAM: A Length-Adaptive Genetic Algorithm With Markov Blanket for High-Dimensional Feature Selection in Classification. IEEE Transactions on Cybernetics 53(11), 6858\u20136869 (2023)","journal-title":"IEEE Transactions on Cybernetics"},{"issue":"8","key":"6035_CR28","doi-asserted-by":"publisher","first-page":"4163","DOI":"10.1109\/TED.2023.3288842","volume":"70","author":"CM Fang","year":"2023","unstructured":"Fang, C.M., Zhou, H.J., Yang, L., Cheng, W.M., Li, Y., Miao, X.S.: High-Efficient Memristive Genetic Algorithm for Feature Selection. IEEE Trans. Electron Devices 70(8), 4163\u20134169 (2023)","journal-title":"IEEE Trans. Electron Devices"},{"key":"6035_CR29","doi-asserted-by":"publisher","first-page":"2473","DOI":"10.1109\/JSTARS.2021.3056593","volume":"14","author":"JX Wang","year":"2021","unstructured":"Wang, J.X., Ye, M.C., Xiong, F.C., Qian, Y.T.: Cross-Scene Hyperspectral Feature Selection via Hybrid Whale Optimization Algorithm With Simulated Annealing. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 14, 2473\u20132483 (2021)","journal-title":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"},{"issue":"13","key":"6035_CR30","doi-asserted-by":"publisher","first-page":"15598","DOI":"10.1007\/s11227-022-04507-2","volume":"78","author":"E Pashaei","year":"2022","unstructured":"Pashaei, E., Pashaei, E.: Hybrid binary arithmetic optimization algorithm with simulated annealing for feature selection in high-dimensional biomedical data. The Journal of Supercomputing 78(13), 15598\u201315637 (2022)","journal-title":"The Journal of Supercomputing"},{"issue":"1","key":"6035_CR31","doi-asserted-by":"publisher","first-page":"29","DOI":"10.1109\/3477.484436","volume":"26","author":"M Dorigo","year":"1996","unstructured":"Dorigo, M., Maniezzo, V., Colorni, A.: Ant system: Optimization by a colony of cooperating agents. IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 26(1), 29\u201341 (1996)","journal-title":"IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics)"},{"issue":"12","key":"6035_CR32","doi-asserted-by":"publisher","first-page":"7839","DOI":"10.1007\/s00521-019-04171-3","volume":"32","author":"M Ghosh","year":"2020","unstructured":"Ghosh, M., Guha, R., Sarkar, R., Abraham, A.: A wrapper-filter feature selection technique based on ant colony optimization. Neural Comput. Appl. 32(12), 7839\u20137857 (2020)","journal-title":"Neural Comput. Appl."},{"issue":"1","key":"6035_CR33","doi-asserted-by":"publisher","first-page":"143","DOI":"10.1109\/72.977291","volume":"13","author":"N Kwak","year":"2002","unstructured":"Kwak, N., Choi, C.H.: Input feature selection for classification problems. IEEE Trans. Neural Networks 13(1), 143\u2013159 (2002)","journal-title":"IEEE Trans. Neural Networks"},{"issue":"2","key":"6035_CR34","doi-asserted-by":"publisher","first-page":"189","DOI":"10.1109\/TNN.2008.2005601","volume":"20","author":"PA Estevez","year":"2009","unstructured":"Estevez, P.A., Tesmer, M., Perez, C.A., Zurada, J.A.: Normalized Mutual Information Feature Selection. IEEE Trans. Neural Networks 20(2), 189\u2013201 (2009)","journal-title":"IEEE Trans. Neural Networks"},{"key":"6035_CR35","doi-asserted-by":"publisher","first-page":"73","DOI":"10.1016\/j.ins.2015.02.031","volume":"307","author":"ZC Wang","year":"2015","unstructured":"Wang, Z.C., Li, M.Q., Li, J.Z.: A multi-objective evolutionary algorithm for feature selection based on mutual information with a new redundancy measure. Information Sciences 307, 73\u201388 (2015)","journal-title":"Information Sciences"},{"issue":"3","key":"6035_CR36","doi-asserted-by":"publisher","first-page":"226","DOI":"10.1016\/j.patrec.2009.10.013","volume":"31","author":"YM Chen","year":"2010","unstructured":"Chen, Y.M., Miao, D.Q., Wang, R.Z.: A rough set approach to feature selection based on ant colony optimization. Pattern Recognition Letters 31(3), 226\u2013233 (2010)","journal-title":"Pattern Recognition Letters"},{"key":"6035_CR37","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2021.107933","author":"WP Ma","year":"2021","unstructured":"Ma, W.P., Zhou, X.B., Zhu, H., Li, L.W., Jiao, L.C.: A two-stage hybrid ant colony optimization for high-dimensional feature selection. Pattern Recognition (2021). https:\/\/doi.org\/10.1016\/j.patcog.2021.107933","journal-title":"Pattern Recognition"},{"key":"6035_CR38","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2022.109874","author":"ZQ Wang","year":"2022","unstructured":"Wang, Z.Q., Gao, S.C., Zhang, Y., Guo, L.J.: Symmetric uncertainty-incorporated probabilistic sequence-based ant colony optimization for feature selection in classification. Knowledge-Based Systems (2022). https:\/\/doi.org\/10.1016\/j.knosys.2022.109874","journal-title":"Knowledge-Based Systems"},{"issue":"1","key":"6035_CR39","doi-asserted-by":"publisher","first-page":"175","DOI":"10.1007\/s40995-022-01395-2","volume":"47","author":"Z Shojaee","year":"2023","unstructured":"Shojaee, Z., Fazeli, S.A.S., Abbasi, E., Adibnia, F., Masuli, F., Rovetta, S.: A Mutual Information Based on Ant Colony Optimization Method to Feature Selection for Categorical Data Clustering. Iranian Journal of Science 47(1), 175\u2013186 (2023)","journal-title":"Iranian Journal of Science"},{"issue":"8","key":"6035_CR40","doi-asserted-by":"publisher","first-page":"5276","DOI":"10.1109\/TCYB.2022.3185554","volume":"53","author":"ZQ Wang","year":"2023","unstructured":"Wang, Z.Q., Gao, S.C., Zhou, M.C., Sato, S.H., Cheng, J.J., Wang, J.H.: Information-Theory-based Nondominated Sorting Ant Colony Optimization for Multiobjective Feature Selection in Classification. IEEE Transactions on Cybernetics 53(8), 5276\u20135289 (2023b)","journal-title":"IEEE Transactions on Cybernetics"},{"issue":"2","key":"6035_CR41","doi-asserted-by":"publisher","first-page":"1237","DOI":"10.1007\/s11063-019-10144-3","volume":"51","author":"XY Gu","year":"2020","unstructured":"Gu, X.Y., Guo, J.C., Xiao, L.J., Ming, T., Li, C.Y.: A Feature Selection Algorithm Based on Equal Interval Division and Minimal-Redundancy-Maximal-Relevance. Neural Process. Lett. 51(2), 1237\u20131263 (2020)","journal-title":"Neural Process. Lett."},{"issue":"3","key":"6035_CR42","doi-asserted-by":"publisher","first-page":"2079","DOI":"10.1007\/s11063-021-10720-6","volume":"54","author":"XY Gu","year":"2022","unstructured":"Gu, X.Y., Guo, J.C., Ming, T., Xiao, L.J., Li, C.Y.: A Feature Selection Algorithm Based on Equal Interval Division and Conditional Mutual Information. Neural Processing Letters 54(3), 2079\u20132105 (2022)","journal-title":"Neural Processing Letters"},{"issue":"13","key":"6035_CR43","doi-asserted-by":"publisher","first-page":"8785","DOI":"10.1007\/s00500-021-05800-7","volume":"25","author":"XY Gu","year":"2021","unstructured":"Gu, X.Y., Guo, J.C.: A feature subset selection algorithm based on equal interval division and three-way interaction information. Soft. Comput. 25(13), 8785\u20138795 (2021)","journal-title":"Soft. Comput."},{"key":"6035_CR44","unstructured":"Yang, H.H., Moody, J.: Data visualization and feature selection: new algorithms for non-gaussian data. In: Proceedings of Conference on Neural Information Processing Systems, 687\u2013693 (1999)"},{"issue":"22","key":"6035_CR45","doi-asserted-by":"publisher","first-page":"8520","DOI":"10.1016\/j.eswa.2015.07.007","volume":"42","author":"M Bennasar","year":"2015","unstructured":"Bennasar, M., Hicks, Y., Setchi, R.: Feature selection using Joint Mutual Information Maximisation. Expert Systems with Applications 42(22), 8520\u20138532 (2015)","journal-title":"Expert Systems with Applications"},{"issue":"4","key":"6035_CR46","doi-asserted-by":"publisher","first-page":"11247","DOI":"10.1007\/s11042-023-15821-z","volume":"83","author":"XY Gu","year":"2024","unstructured":"Gu, X.Y., Chen, J.G., Wu, G.Q., Wang, K., Wang, J.X.: Feature subset selection algorithm based on symmetric uncertainty and interaction factor. Multimedia Tools and Applications 83(4), 11247\u201311260 (2024)","journal-title":"Multimedia Tools and Applications"},{"key":"6035_CR47","volume-title":"UCI machine learning repository","author":"D Dua","year":"2019","unstructured":"Dua, D., Graff, C.: UCI machine learning repository. University of California, Irvine, School of Information and Computer Sciences (2019)"},{"key":"6035_CR48","doi-asserted-by":"publisher","DOI":"10.1145\/3136625","author":"JD Li","year":"2018","unstructured":"Li, J.D., Cheng, K.W., Wang, S.H., Morstatter, F., Trevino, R.P., Tang, J.L., Liu, H.: Feature Selection: A Data Perspective. ACM Computing Surveys (2018). https:\/\/doi.org\/10.1145\/3136625","journal-title":"ACM Computing Surveys"},{"key":"6035_CR49","unstructured":"Fayyad, U., Irani, K.B.: Multi-interval discretization of continuous-valued attributes for classification learning. In: Proceedings of International Joint Conference on Artificial Intelligence, 1022\u20131027 (1993)"},{"issue":"1","key":"6035_CR50","doi-asserted-by":"publisher","first-page":"10","DOI":"10.1145\/1656274.1656278","volume":"11","author":"M Hall","year":"2009","unstructured":"Hall, M., Frank, E., Holmes, G., Pfahringer, B., Reutemann, P., Witten, I.H.: The WEKA data mining software: an update. ACM SIGKDD Explorations Newsl 11(1), 10\u201318 (2009)","journal-title":"ACM SIGKDD Explorations Newsl"}],"container-title":["Cluster Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10586-026-06035-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10586-026-06035-7","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10586-026-06035-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,2,19]],"date-time":"2026-02-19T18:56:02Z","timestamp":1771527362000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10586-026-06035-7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,2,19]]},"references-count":50,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2026,6]]}},"alternative-id":["6035"],"URL":"https:\/\/doi.org\/10.1007\/s10586-026-06035-7","relation":{},"ISSN":["1386-7857","1573-7543"],"issn-type":[{"value":"1386-7857","type":"print"},{"value":"1573-7543","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,2,19]]},"assertion":[{"value":"4 April 2025","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"10 February 2026","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"12 February 2026","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"19 February 2026","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interests"}},{"value":"The authors declare no competing interests.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}],"article-number":"180"}}