ProCAKE Data Quality Issues - IoT 2025 + ICCBR 2024

Project information

This project contains the implementation for the following papers:

Schultheis, A., Malburg, L., Grüger, J., Weich, J., Bertrand, Y., Bergmann, R., & Serral Asensio, E. (2024). Identifying Missing Sensor Values in IoT Time Series Data: A Weight-Based Extension of Similarity Measures for Smart Manufacturing. In International Conference on Case-Based Reasoning (pp. 240-257). Cham: Springer Nature Switzerland.

Schultheis, A., Bertrand, Y., Grüger, J., Malburg, L., Bergmann, R., & Serral Asensio, E. (2025). Case-based Data Quality Management for IoT Logs: A Case Study Focusing on Detection of Data Quality Issues. IoT, 6(4), Article 63. https://doi.org/10.3390/iot6040063

java IoT Sensor Data