{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T04:46:58Z","timestamp":1750308418976,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":26,"publisher":"ACM","license":[{"start":{"date-parts":[[2020,8,22]],"date-time":"2020-08-22T00:00:00Z","timestamp":1598054400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2020,8,22]]},"DOI":"10.1145\/3421537.3421548","type":"proceedings-article","created":{"date-parts":[[2020,10,5]],"date-time":"2020-10-05T13:23:53Z","timestamp":1601904233000},"page":"90-95","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["CUSUM Based Concept Drift Detector for Data Stream Clustering"],"prefix":"10.1145","author":[{"given":"Namitha","family":"K.","sequence":"first","affiliation":[{"name":"Artificial Intelligence and Computer Vision Lab, Department of Computer Science Cochin University of Science and Technology, Kochi, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"G. Santhosh","family":"Kumar","sequence":"additional","affiliation":[{"name":"Artificial Intelligence and Computer Vision Lab, Department of Computer Science Cochin University of Science and Technology, Kochi, India"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2020,10,5]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.5555\/1315451.1315460"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10115-016-0987-z"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2016.09.020"},{"key":"e_1_3_2_1_4_1","volume-title":"Early Drift Detection Method. 4th ECML PKDD International Workshop on Knowledge Discovery from Data Streams, 77--86","author":"Baena-Garcia M.","year":"2006","unstructured":"Baena-Garcia , M. , Campo-Avila , J. Del , Fidalgo, R., Bifet , A. , Gavalda , R. , & Morales-Bueno , R. ( 2006 ). Early Drift Detection Method. 4th ECML PKDD International Workshop on Knowledge Discovery from Data Streams, 77--86 . Baena-Garcia, M., Campo-Avila, J. Del, Fidalgo, R., Bifet, A., Gavalda, R., & Morales-Bueno, R. (2006). Early Drift Detection Method. 4th ECML PKDD International Workshop on Knowledge Discovery from Data Streams, 77--86."},{"key":"e_1_3_2_1_5_1","volume-title":"MOA: Massive Online Analysis, a Framework for Stream Classification and Clustering. HaCDAIS","author":"Bifet A.","year":"2010","unstructured":"Bifet , A. , Holmes , G. , Pfahringer , B. , Kranen , P. , Kremer , H. , Jansen , T. , & Seidl , T. ( 2010 ). MOA: Massive Online Analysis, a Framework for Stream Classification and Clustering. HaCDAIS 2010, 11(September 2015), 3. Retrieved from http:\/\/eprints.pascal-network.org\/archive\/00007201\/ Bifet, A., Holmes, G., Pfahringer, B., Kranen, P., Kremer, H., Jansen, T., & Seidl, T. (2010). MOA: Massive Online Analysis, a Framework for Stream Classification and Clustering. HaCDAIS 2010, 11(September 2015), 3. Retrieved from http:\/\/eprints.pascal-network.org\/archive\/00007201\/"},{"key":"e_1_3_2_1_6_1","unstructured":"Dasu T. Krishnan S. & Venkatasubramanian S. (n.d.). An Information-Theoretic Approach to Detecting Changes in Multi-Dimensional Data Streams 1--24.  Dasu T. Krishnan S. & Venkatasubramanian S. (n.d.). An Information-Theoretic Approach to Detecting Changes in Multi-Dimensional Data Streams 1--24."},{"key":"e_1_3_2_1_7_1","volume-title":"Fast Adapting Ensemble: A New Algorithm for Mining Data Streams with Concept Drift","author":"D\u00edaz A. O.","year":"2015","unstructured":"D\u00edaz , A. O. , Campo-\u00e1vila , J. , Ramos -jim\u00e9nez, G., Blanco , I. F. , Mota , Y. C. , Hechavarr\u00eda , A. M. , & Morales -bueno, R. ( 2015 ). Fast Adapting Ensemble: A New Algorithm for Mining Data Streams with Concept Drift , 2015. D\u00edaz, A. O., Campo-\u00e1vila, J., Ramos-jim\u00e9nez, G., Blanco, I. F., Mota, Y. C., Hechavarr\u00eda, A. M., & Morales-bueno, R. (2015). Fast Adapting Ensemble: A New Algorithm for Mining Data Streams with Concept Drift, 2015."},{"key":"e_1_3_2_1_8_1","volume-title":"A Survey on Concept Drift Adaptation. ACM Comput. Surv. Article, 46(44)","author":"Gama J. A.","year":"2014","unstructured":"Gama , J. A. ( 2014 ). A Survey on Concept Drift Adaptation. ACM Comput. Surv. Article, 46(44) . http:\/\/doi.org\/10.1145\/2523813 10.1145\/2523813 Gama, J. A. (2014). A Survey on Concept Drift Adaptation. ACM Comput. Surv. Article, 46(44). http:\/\/doi.org\/10.1145\/2523813"},{"key":"e_1_3_2_1_9_1","first-page":"286","article-title":"Learning with drift detection","volume":"2004","author":"Gama J.","year":"2004","unstructured":"Gama , J. , Medas , P. , Castillo , G. , & Rodrigues , P. ( 2004 ). Learning with drift detection . Advances in Artificial Intelligence-SBIA 2004 , 286 -- 295 . http:\/\/doi.org\/10.1007\/978-3-540-28645-5_29 10.1007\/978-3-540-28645-5_29 Gama, J., Medas, P., Castillo, G., & Rodrigues, P. (2004). Learning with drift detection. Advances in Artificial Intelligence-SBIA 2004, 286--295. http:\/\/doi.org\/10.1007\/978-3-540-28645-5_29","journal-title":"Advances in Artificial Intelligence-SBIA"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2886026"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1016\/B978-012088469-8.50019-X"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.5555\/1314498.1390333"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2015.04.024"},{"key":"e_1_3_2_1_14_1","volume-title":"Proceedings of the 5th Asian Control Conference, 815--818","author":"Mouss H.","year":"2004","unstructured":"Mouss , H. , Mouss , D. , Mouss , N. , & Sefouhi , L. ( 2004 ). Test of page-hinckley, an approach for fault detection in an agro-alimentary production system . Proceedings of the 5th Asian Control Conference, 815--818 . Mouss, H., Mouss, D., Mouss, N., & Sefouhi, L. (2004). Test of page-hinckley, an approach for fault detection in an agro-alimentary production system. Proceedings of the 5th Asian Control Conference, 815--818."},{"key":"e_1_3_2_1_15_1","volume-title":"Sequential Change Detection on Data Streams, 551--556","author":"Muthukrishnan S.","year":"2007","unstructured":"Muthukrishnan , S. , & Berg , E. Van Den . ( 2007 ). Sequential Change Detection on Data Streams, 551--556 . http:\/\/doi.org\/10.1109\/ICDMW.2007.89 10.1109\/ICDMW.2007.89 Muthukrishnan, S., & Berg, E. Van Den. (2007). Sequential Change Detection on Data Streams, 551--556. http:\/\/doi.org\/10.1109\/ICDMW.2007.89"},{"key":"e_1_3_2_1_16_1","volume-title":"A survey on data stream clustering and classification. Knowledge and Information Systems, 535--569","author":"Nguyen H.-L.","year":"2014","unstructured":"Nguyen , H.-L. , Woon , Y.-K. , & Ng , W.-K. ( 2014 ). A survey on data stream clustering and classification. Knowledge and Information Systems, 535--569 . http:\/\/doi.org\/10.1007\/s10115-014-0808-1 10.1007\/s10115-014-0808-1 Nguyen, H.-L., Woon, Y.-K., & Ng, W.-K. (2014). A survey on data stream clustering and classification. Knowledge and Information Systems, 535--569. http:\/\/doi.org\/10.1007\/s10115-014-0808-1"},{"key":"e_1_3_2_1_17_1","volume-title":"CONTINUOUS INSPECTION SCHEMES. Biometrika, 41(1-2): 100--115, 06","author":"PAGE.","year":"1954","unstructured":"E. S. PAGE. CONTINUOUS INSPECTION SCHEMES. Biometrika, 41(1-2): 100--115, 06 1954 . E. S. PAGE. CONTINUOUS INSPECTION SCHEMES. Biometrika, 41(1-2): 100--115, 06 1954."},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2007.190727"},{"key":"e_1_3_2_1_19_1","volume-title":"Silhouettes-a graphical aid to the interpretation and validation of cluster analysis Rousseeuw_1987, 20, 53--65","author":"Rousseeuw P. J.","year":"1987","unstructured":"Rousseeuw , P. J. ( 1987 ). Silhouettes-a graphical aid to the interpretation and validation of cluster analysis Rousseeuw_1987, 20, 53--65 . http:\/\/doi.org\/10.1016\/0377-0427(87)90125-7 10.1016\/0377-0427(87)90125-7 Rousseeuw, P. J. (1987). Silhouettes-a graphical aid to the interpretation and validation of cluster analysis Rousseeuw_1987, 20, 53--65. http:\/\/doi.org\/10.1016\/0377-0427(87)90125-7"},{"key":"e_1_3_2_1_20_1","volume-title":"Proceedings - 2015 IEEE International Conference on Knowledge and Systems Engineering, KSE 2015, 37--42","author":"Sakamoto Y.","year":"2016","unstructured":"Sakamoto , Y. , Fukui , K. I. , Gama , J. , Nicklas , D. , Moriyama , K. , & Numao , M. ( 2016 ). Concept Drift Detection with Clustering via Statistical Change Detection Methods . Proceedings - 2015 IEEE International Conference on Knowledge and Systems Engineering, KSE 2015, 37--42 . http:\/\/doi.org\/10.1109\/KSE.2015.19 10.1109\/KSE.2015.19 Sakamoto, Y., Fukui, K. I., Gama, J., Nicklas, D., Moriyama, K., & Numao, M. (2016). Concept Drift Detection with Clustering via Statistical Change Detection Methods. Proceedings - 2015 IEEE International Conference on Knowledge and Systems Engineering, KSE 2015, 37--42. http:\/\/doi.org\/10.1109\/KSE.2015.19"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1145\/2522968.2522981"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1145\/502512.502568"},{"key":"e_1_3_2_1_23_1","volume-title":"Mining Concept-Drifting Data Streams using Ensemble Classifiers","author":"Wang H.","year":"2002","unstructured":"Wang , H. , Fan , W. , Yu , P. S. , & Han , J. ( 2002 ). Mining Concept-Drifting Data Streams using Ensemble Classifiers . Wang, H., Fan, W., Yu, P. S., & Han, J. (2002). Mining Concept-Drifting Data Streams using Ensemble Classifiers."},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10618-015-0448-4"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10618-006-0050-x"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1109\/GRID.2010.5698017"}],"event":{"name":"BDIOT 2020: 2020 the 4th International Conference on Big Data and Internet of Things","acronym":"BDIOT 2020","location":"Singapore Singapore"},"container-title":["Proceedings of the 2020 4th International Conference on Big Data and Internet of Things"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3421537.3421548","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3421537.3421548","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T17:49:21Z","timestamp":1750268961000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3421537.3421548"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,8,22]]},"references-count":26,"alternative-id":["10.1145\/3421537.3421548","10.1145\/3421537"],"URL":"https:\/\/doi.org\/10.1145\/3421537.3421548","relation":{},"subject":[],"published":{"date-parts":[[2020,8,22]]},"assertion":[{"value":"2020-10-05","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}