Past Sessions > Program 2021


IncrLearn Workshop


Incremental Classification and Clustering, Concept Drift,


Novelty Detection in Big/Fast data Context


In Conjunction with


21th IEEE International Conference on Data Mining - ICDM 2021


December 7-10, 2021, Auckland, New Zealand



2:00 pm - 2:05 pm (NZ Time) Opening Remarks

2:05 pm - 3:00 pm (NZ Time) Keynote - Session Chair: Jean-Charles Lamirel

Heitor GomesUniversity of Waikato, New Zealand

"Learning for Delayed Partially Labelled Data Streams"


Slides of Heitor Gomes


3:00 pm - 4:45 pm (NZ Time) Stream learning and Incremental learning - Session Chair:  Heitor Gomes

  • videoS06205: Alessio Bernardo, Giacomo Ziffer, and Emanuele Della Valle, "IEBench: Benchmarking Streaming Learners on Imbalanced Evolving Data Streams"
  • videoDM850: Deeksha Aggarwal, Senthilnath Jayavelu, Uttam Kumar, Vivek Yadav, Sushant Kulkarni, Ferdaus Md Meftahul, and Xiaoli Li, "SGDOL: Self-evolving Generative and Discriminative Online Learning for Data Stream Classification"
  • videoDM464: Saulo Martiello Mastelini, Jacob Montiel, Heitor Murilo Gomes, Albert Bifet, Bernhard Pfahringer, and Andre C. P. L. F. de Carvalho, "Fast and lightweight binary and multi-branch Hoeffding Tree Regressors"
  • videoS06203: Xihui Wang, Pascale Kuntz, Frank Meyer, and Vincent Lemaire, "Multi-Label kNN classifier with Online Dual Memory on data stream"
  • videoDM882: Guangtao Zheng and Aidong Zhang, "Few-Shot Class-incremental Learning with Meta-Learned Class Structures"
  • videoDM1110: Johannes Langguth, Aigars Tumanis, and Ariful Azad, "Incremental Clustering Algorithms for Massive Dynamic Graphs"


4:45 pm - 6:15 pm (NZ Time) Coffee Break


6:15 pm - 7:10 pm (NZ Time) Keynote - Session Chair: Jean-Charles Lamirel

Leandro Minku, University of Birningham, UK

"Towards Robustness to Different Types of Concept Drift in Data Stream Learning" 


Slides of Leandro Minku


7:10 pm - 8:55 pm (NZ Time) Concept drift, active learning and anomaly detection - Session Chair:  Leonardo Minku 

  • videoS06207: Tania Cerquitelli and Salvatore Greco, "DRIFT LENS: Real-time unsupervised Concept Drift detection by evaluating per-label embedding distributions"
  • videoS06206: Zhaohui Wang, Xiao Lin, Abhinav Mishra, and Ram Sriharsha, "Online Changepoint Detection on a Budget"
  • videoS06201: Tung-Duong Mai, Kien Hoang, Aitolkyn Baigutanova, Gaukhartas Alina, and Sundong Kim, "Customs Fraud Detection in the Presence of Concept Drift"
  • videoS06204: Philipp Scharpf, Chi Lap Hong, and Oliver Duerr, "Accelerating Active Learning Image Labeling Through Bulk Shift Recommendations"
  • videoDM253: Ruoyan Kong, Zhanlong Qiu, Yang Liu, and Qi Zhao, "NimbleLearn: A Scalable and Fast Batch-mode Active Learning Approach"
  • videoDM318: Huiyu Mu, Ruizhi Sun, Gang Yuan, Jiayao Li, and Miao Wang, "Crowd behavior detection in videos using statistical physics"


8:55 pm - 9:00 pm (NZ Time) Closing Remarks

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