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 Gomes, University of Waikato, New Zealand
"Learning for Delayed Partially Labelled Data Streams"
3:00 pm - 4:45 pm (NZ Time) Stream learning and Incremental learning - Session Chair: Heitor Gomes
 S06205: Alessio Bernardo, Giacomo Ziffer, and Emanuele Della Valle, "IEBench: Benchmarking Streaming Learners on Imbalanced Evolving Data Streams"
 DM850: 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"
 DM464: 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"
 S06203: Xihui Wang, Pascale Kuntz, Frank Meyer, and Vincent Lemaire, "Multi-Label kNN classifier with Online Dual Memory on data stream"
 DM882: Guangtao Zheng and Aidong Zhang, "Few-Shot Class-incremental Learning with Meta-Learned Class Structures"
 DM1110: 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"
7:10 pm - 8:55 pm (NZ Time) Concept drift, active learning and anomaly detection - Session Chair: Leonardo Minku
 S06207: Tania Cerquitelli and Salvatore Greco, "DRIFT LENS: Real-time unsupervised Concept Drift detection by evaluating per-label embedding distributions"
 S06206: Zhaohui Wang, Xiao Lin, Abhinav Mishra, and Ram Sriharsha, "Online Changepoint Detection on a Budget"
 S06201: Tung-Duong Mai, Kien Hoang, Aitolkyn Baigutanova, Gaukhartas Alina, and Sundong Kim, "Customs Fraud Detection in the Presence of Concept Drift"
 S06204: Philipp Scharpf, Chi Lap Hong, and Oliver Duerr, "Accelerating Active Learning Image Labeling Through Bulk Shift Recommendations"
 DM253: Ruoyan Kong, Zhanlong Qiu, Yang Liu, and Qi Zhao, "NimbleLearn: A Scalable and Fast Batch-mode Active Learning Approach"
 DM318: 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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