Recent Publications

Conference:

  • J. Zuo, K. Zeitouni and Y. Taher: “Incremental and Adaptive Feature Exploration over Time Series Stream”. (Accepted) 4th Workshop on Advanced Analytics and Learning on Temporal Data (AALTD@ECML-PKDD’19), Würzburg, Germany, 2019
  • J. Zuo, K. Zeitouni and Y. Taher: “ISETS: Incremental Shapelet Extraction from Time Series Stream”. (Accepted) demo paper, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD’19), Würzburg, Germany, 2019
  • J. Zuo, K. Zeitouni and Y. Taher. “Exploring Interpretable Features for Large Time Series with SE4TeC”, demo paper, 22nd International Conference on Extending Database Technology (EDBT’19), Lisbon, Portugal, 2019. [Poster]

Projects

PROJECT STREAMOPS - INSTITUT DATAIA

  • Open Source Platform for Research and Integration of Algorithms for Massive Time Series Flow Analysis
  • The goal of StreamOps is to develop methods and algorithms to consider temporal order in data streams.

Contact