{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,28]],"date-time":"2026-01-28T08:54:27Z","timestamp":1769590467539,"version":"3.49.0"},"publisher-location":"New York, NY, USA","reference-count":36,"publisher":"ACM","funder":[{"name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de Nivel Superior - Brasil (CAPES).","award":["001"],"award-info":[{"award-number":["001"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,11,7]]},"DOI":"10.1145\/3779153.3779162","type":"proceedings-article","created":{"date-parts":[[2026,1,27]],"date-time":"2026-01-27T07:35:51Z","timestamp":1769499351000},"page":"57-62","update-policy":"https:\/\/2.zoppoz.workers.dev:443\/https\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["SlidingGLCMK-NN Classifier for Stream Learning."],"prefix":"10.1145","author":[{"ORCID":"https:\/\/2.zoppoz.workers.dev:443\/https\/orcid.org\/0000-0003-4429-6715","authenticated-orcid":false,"given":"Suja A","family":"Alex","sequence":"first","affiliation":[{"name":"Information Technology, St. Xavier\ufffd\ufffds Catholic College of Engineering,, Nagercoil, Tamil Nadu, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/2.zoppoz.workers.dev:443\/https\/orcid.org\/0000-0002-4465-7691","authenticated-orcid":false,"given":"Vania Vieira","family":"Estrela","sequence":"additional","affiliation":[{"name":"Department of Telecommunications, Federal Fluminense University (UFF),, Niteroi, Rio de Janeiro, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/2.zoppoz.workers.dev:443\/https\/orcid.org\/0000-0002-4566-1051","authenticated-orcid":false,"given":"Gabriel Caumo","family":"Vaz","sequence":"additional","affiliation":[{"name":"DECOM, School of Electrical and Computer Engineering,, State University of Campinas,, Campinas, Sao Paulo, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/2.zoppoz.workers.dev:443\/https\/orcid.org\/0000-0002-9843-9761","authenticated-orcid":false,"given":"Yuzo","family":"Iano","sequence":"additional","affiliation":[{"name":"DECOM, School of Electrical and Computer Engineering,, State University of Campinas,, Campinas, Sao Paulo, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/2.zoppoz.workers.dev:443\/https\/orcid.org\/0000-0001-7164-2068","authenticated-orcid":false,"given":"Gabriel Gomes","family":"de Oliveira","sequence":"additional","affiliation":[{"name":"PoliTIC, CTI - Renato Archer Information Technology Center,, Campinas, Sao Paulo, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/2.zoppoz.workers.dev:443\/https\/orcid.org\/0000-0002-6982-6690","authenticated-orcid":false,"given":"Angela Maria","family":"Alves","sequence":"additional","affiliation":[{"name":"PoliTIC, CTI - Renato Archer Information Technology Center,, Campinas, Sao Paulo, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2026,1,26]]},"reference":[{"key":"e_1_3_3_1_2_2","volume-title":"Proc. 7th Intl","author":"Agrawal Rakesh","year":"1995","unstructured":"Rakesh Agrawal and Arun Swami. 1995. A One-Pass Space-E cient Algorithm for Finding Quantiles. In Proc. 7th Intl. Citeseer."},{"key":"e_1_3_3_1_3_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-24643-3_72"},{"key":"e_1_3_3_1_4_2","doi-asserted-by":"crossref","unstructured":"J\u00fcrgen Beringer and Eyke H\u00fcllermeier. 2007. Efficient instance-based learning on data streams. Intelligent Data Analysis 11 6 (2007) 627\u2013650.","DOI":"10.3233\/IDA-2007-11604"},{"key":"e_1_3_3_1_5_2","unstructured":"A Bifet R Kirkby P Kranen and P Reutemann. 2012. Massive Online Analysis Manual https:\/\/2.zoppoz.workers.dev:443\/https\/sourceforge.net\/projects\/moadatastream\/files\/documentation. Manual. pdf (2012)."},{"key":"e_1_3_3_1_6_2","doi-asserted-by":"crossref","unstructured":"Aida Chefrour. 2019. Incremental supervised learning: algorithms and applications in pattern recognition. Evolutionary Intelligence 12 (2019) 97\u2013112.","DOI":"10.1007\/s12065-019-00203-y"},{"key":"e_1_3_3_1_7_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-15032-7_96"},{"key":"e_1_3_3_1_8_2","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE.2002.994778"},{"key":"e_1_3_3_1_9_2","doi-asserted-by":"publisher","DOI":"10.1145\/347090.347107"},{"key":"e_1_3_3_1_10_2","doi-asserted-by":"crossref","unstructured":"Ben\u00a0D Fulcher Max\u00a0A Little and Nick\u00a0S Jones. 2013. Highly comparative time-series analysis: the empirical structure of time series and their methods. Journal of the Royal Society Interface 10 83 (2013) 20130048.","DOI":"10.1098\/rsif.2013.0048"},{"key":"e_1_3_3_1_11_2","doi-asserted-by":"crossref","unstructured":"Jo\u00e3o Gama and Pedro\u00a0Pereira Rodrigues. 2007. Data stream processing. Learning from data streams: Processing techniques in sensor networks (2007) 25\u201339.","DOI":"10.1007\/3-540-73679-4_3"},{"key":"e_1_3_3_1_12_2","doi-asserted-by":"crossref","unstructured":"Venkatesh Ganti Johannes Gehrke and Raghu Ramakrishnan. 2002. Mining very large databases. Computer 32 8 (2002) 38\u201345.","DOI":"10.1109\/2.781633"},{"key":"e_1_3_3_1_13_2","doi-asserted-by":"crossref","unstructured":"Johannes Gehrke Flip Korn and Divesh Srivastava. 2001. On computing correlated aggregates over continual data streams. ACM SIGMOD Record 30 2 (2001) 13\u201324.","DOI":"10.1145\/376284.375665"},{"key":"e_1_3_3_1_14_2","doi-asserted-by":"publisher","DOI":"10.1016\/B978-155860869-6\/50047-0"},{"key":"e_1_3_3_1_15_2","doi-asserted-by":"crossref","unstructured":"Anna\u00a0C. Gilbert Yannis Kotidis S Muthukrishnan and Martin\u00a0J Strauss. 2003. One-pass wavelet decompositions of data streams. IEEE Transactions on knowledge and data engineering 15 3 (2003) 541\u2013554.","DOI":"10.1109\/TKDE.2003.1198389"},{"key":"e_1_3_3_1_16_2","doi-asserted-by":"crossref","unstructured":"Dariusz Jankowski Konrad Jackowski and Bogus\u0142aw Cyganek. 2016. Learning decision trees from data streams with concept drift. Procedia computer science 80 (2016) 1682\u20131691.","DOI":"10.1016\/j.procs.2016.05.508"},{"key":"e_1_3_3_1_17_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-35594-3_47"},{"key":"e_1_3_3_1_18_2","doi-asserted-by":"crossref","unstructured":"SH Kok A Azween and NZ Jhanjhi. 2020. Evaluation metric for crypto-ransomware detection using machine learning. Journal of Information Security and Applications 55 (2020) 102646.","DOI":"10.1016\/j.jisa.2020.102646"},{"key":"e_1_3_3_1_19_2","doi-asserted-by":"crossref","unstructured":"Umesh Kokate Arvind Deshpande Parikshit Mahalle and Pramod Patil. 2018. Data stream clustering techniques applications and models: comparative analysis and discussion. Big Data and Cognitive Computing 2 4 (2018) 32.","DOI":"10.3390\/bdcc2040032"},{"key":"e_1_3_3_1_20_2","doi-asserted-by":"crossref","unstructured":"Wenwen Li Zheng Dou Lin Qi and Chengzhuo Shi. 2019. Wavelet transform based modulation classification for 5G and UAV communication in multipath fading channel. Physical Communication 34 (2019) 272\u2013282.","DOI":"10.1016\/j.phycom.2018.12.019"},{"key":"e_1_3_3_1_21_2","doi-asserted-by":"crossref","unstructured":"Mohammad\u00a0Saeid Mahdavinejad Mohammadreza Rezvan Mohammadamin Barekatain Peyman Adibi Payam Barnaghi and Amit\u00a0P Sheth. 2018. Machine learning for Internet of Things data analysis: A survey. Digital Communications and Networks 4 3 (2018) 161\u2013175.","DOI":"10.1016\/j.dcan.2017.10.002"},{"key":"e_1_3_3_1_22_2","doi-asserted-by":"crossref","unstructured":"Gurmeet\u00a0Singh Manku Sridhar Rajagopalan and Bruce\u00a0G Lindsay. 1999. Random sampling techniques for space efficient online computation of order statistics of large datasets. ACM SIGMOD Record 28 2 (1999) 251\u2013262.","DOI":"10.1145\/304181.304204"},{"key":"e_1_3_3_1_23_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-21257-4_44"},{"key":"e_1_3_3_1_24_2","doi-asserted-by":"crossref","unstructured":"Mamta Mittal Lalit\u00a0M Goyal Duraisamy\u00a0Jude Hemanth and Jasleen\u00a0K Sethi. 2019. Clustering approaches for high-dimensional databases: A review. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 9 3 (2019) e1300.","DOI":"10.1002\/widm.1300"},{"key":"e_1_3_3_1_25_2","doi-asserted-by":"crossref","unstructured":"Mamta Mittal Lalit\u00a0Mohan Goyal Sumit Kaur Iqbaldeep Kaur Amit Verma and D\u00a0Jude Hemanth. 2019. Deep learning based enhanced tumor segmentation approach for MR brain images. Applied Soft Computing 78 (2019) 346\u2013354.","DOI":"10.1016\/j.asoc.2019.02.036"},{"key":"e_1_3_3_1_26_2","doi-asserted-by":"crossref","unstructured":"\u015eaban \u00d6zt\u00fcrk and Bayram Akdemir. 2018. Application of feature extraction and classification methods for histopathological image using GLCM LBP LBGLCM GLRLM and SFTA. Procedia computer science 132 (2018) 40\u201346.","DOI":"10.1016\/j.procs.2018.05.057"},{"key":"e_1_3_3_1_27_2","doi-asserted-by":"crossref","unstructured":"Sergio Ram\u00edrez-Gallego Bartosz Krawczyk Salvador Garc\u00eda Micha\u0142 Wo\u017aniak Jos\u00e9\u00a0Manuel Ben\u00edtez and Francisco Herrera. 2017. Nearest neighbor classification for high-speed big data streams using spark. IEEE Transactions on Systems Man and Cybernetics: Systems 47 10 (2017) 2727\u20132739.","DOI":"10.1109\/TSMC.2017.2700889"},{"key":"e_1_3_3_1_28_2","first-page":"121","volume-title":"AAFD","author":"Salperwyck Christophe","year":"2010","unstructured":"Christophe Salperwyck, Vincent Lemaire, and Domaine Universitaire du\u00a0Pont de Bois. 2010. Classification incr\u00e9mentale supervis\u00e9e: un panel introductif.. In AAFD. 121\u2013148."},{"key":"e_1_3_3_1_29_2","doi-asserted-by":"crossref","unstructured":"Vidya\u00a0K Sudarshan Muthu Rama\u00a0Krishnan Mookiah U\u00a0Rajendra Acharya Vinod Chandran Filippo Molinari Hamido Fujita and Kwan\u00a0Hoong Ng. 2016. Application of wavelet techniques for cancer diagnosis using ultrasound images: a review. Computers in biology and medicine 69 (2016) 97\u2013111.","DOI":"10.1016\/j.compbiomed.2015.12.006"},{"key":"e_1_3_3_1_30_2","unstructured":"Annamalai Suresh KL Shunmuganathan et\u00a0al. 2012. Image texture classification using gray level co-occurrence matrix based statistical features. European Journal of Scientific Research 75 4 (2012) 591\u2013597."},{"key":"e_1_3_3_1_31_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-12069-0_4"},{"key":"e_1_3_3_1_32_2","doi-asserted-by":"crossref","unstructured":"Mark Tennant Frederic Stahl Omer Rana and Jo\u00e3o\u00a0B\u00e1rtolo Gomes. 2017. Scalable real-time classification of data streams with concept drift. Future Generation Computer Systems 75 (2017) 187\u2013199.","DOI":"10.1016\/j.future.2017.03.026"},{"key":"e_1_3_3_1_33_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-41920-6_48"},{"key":"e_1_3_3_1_34_2","doi-asserted-by":"crossref","unstructured":"Abril\u00a0Valeria Uriarte-Arcia Itzam\u00e1 L\u00f3pez-Y\u00e1\u00f1ez Cornelio Y\u00e1\u00f1ez-M\u00e1rquez Jo\u00e3o Gama and Oscar Camacho-Nieto. 2015. Data stream classification based on the gamma classifier. Mathematical Problems in Engineering 2015 1 (2015) 939175.","DOI":"10.1155\/2015\/939175"},{"key":"e_1_3_3_1_35_2","doi-asserted-by":"crossref","unstructured":"Dong Wang Kwok-Leung Tsui and Qiang Miao. 2017. Prognostics and health management: A review of vibration based bearing and gear health indicators. Ieee Access 6 (2017) 665\u2013676.","DOI":"10.1109\/ACCESS.2017.2774261"},{"key":"e_1_3_3_1_36_2","unstructured":"Ibrahim Yankine Michele Rossi and Davide Zordan. 2017. Unsupervised clustering of IoT signals through feature extraction and self organizing maps. Ph.\u00a0D. Dissertation. MS Thesis University of Padova."},{"key":"e_1_3_3_1_37_2","doi-asserted-by":"crossref","unstructured":"Unil Yun Donggyu Kim Eunchul Yoon and Hamido Fujita. 2018. Damped window based high average utility pattern mining over data streams. Knowledge-Based Systems 144 (2018) 188\u2013205.","DOI":"10.1016\/j.knosys.2017.12.029"}],"event":{"name":"BDIOT 2025: 2025 9th International Conference on Big Data and Internet of Things","location":"Chongqing China","acronym":"BDIOT 2025"},"container-title":["Proceedings of the 2025 9th International Conference on Big Data and Internet of Things"],"original-title":[],"link":[{"URL":"https:\/\/2.zoppoz.workers.dev:443\/https\/dl.acm.org\/doi\/pdf\/10.1145\/3779153.3779162","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,1,27]],"date-time":"2026-01-27T07:37:13Z","timestamp":1769499433000},"score":1,"resource":{"primary":{"URL":"https:\/\/2.zoppoz.workers.dev:443\/https\/dl.acm.org\/doi\/10.1145\/3779153.3779162"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,11,7]]},"references-count":36,"alternative-id":["10.1145\/3779153.3779162","10.1145\/3779153"],"URL":"https:\/\/2.zoppoz.workers.dev:443\/https\/doi.org\/10.1145\/3779153.3779162","relation":{},"subject":[],"published":{"date-parts":[[2025,11,7]]},"assertion":[{"value":"2026-01-26","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}