20810223 - INGEGNERIA DEI DATI

Providing skills on systems, methods, and technologies for extraction, cleaning, analyzing and integrating and management of unstructured data.

Curriculum

teacher profile | teaching materials

Programme

Source discovery
Data quality
Data integration

Core Documentation

Slides by the teacher

Reference Bibliography

- Dong, Xin Luna, and Divesh Srivastava. "Big data integration." 2013 IEEE 29th international conference on data engineering (ICDE). IEEE, 2013. - Abedjan, Ziawasch, et al. Data profiling. Vol. 10. San Rafael, CA, USA: Morgan & Claypool Publishers, 2019. - Zha, Daochen, et al. "Data-centric ai: Perspectives and challenges." Proceedings of the 2023 SIAM International Conference on Data Mining (SDM). Society for Industrial and Applied Mathematics, 2023.

Attendance

The course is held in person. Attendance is not mandatory, but strongly recommended. Working students should contact the instructor at the beginning of the course

Type of evaluation

The oral exam consists of discussing the projects assigned by the instructor during the course.

teacher profile | teaching materials

Programme

Source discovery
Data quality
Data integration

Core Documentation

Slides by the teacher

Reference Bibliography

- Dong, Xin Luna, and Divesh Srivastava. "Big data integration." 2013 IEEE 29th international conference on data engineering (ICDE). IEEE, 2013. - Abedjan, Ziawasch, et al. Data profiling. Vol. 10. San Rafael, CA, USA: Morgan & Claypool Publishers, 2019. - Zha, Daochen, et al. "Data-centric ai: Perspectives and challenges." Proceedings of the 2023 SIAM International Conference on Data Mining (SDM). Society for Industrial and Applied Mathematics, 2023.

Attendance

The course is held in person. Attendance is not mandatory, but strongly recommended. Working students should contact the instructor at the beginning of the course

Type of evaluation

The oral exam consists of discussing the projects assigned by the instructor during the course.

teacher profile | teaching materials

Programme

Source discovery
Data quality
Data integration

Core Documentation

Slides by the teacher

Reference Bibliography

- Dong, Xin Luna, and Divesh Srivastava. "Big data integration." 2013 IEEE 29th international conference on data engineering (ICDE). IEEE, 2013. - Abedjan, Ziawasch, et al. Data profiling. Vol. 10. San Rafael, CA, USA: Morgan & Claypool Publishers, 2019. - Zha, Daochen, et al. "Data-centric ai: Perspectives and challenges." Proceedings of the 2023 SIAM International Conference on Data Mining (SDM). Society for Industrial and Applied Mathematics, 2023.

Attendance

The course is held in person. Attendance is not mandatory, but strongly recommended. Working students should contact the instructor at the beginning of the course

Type of evaluation

The oral exam consists of discussing the projects assigned by the instructor during the course.

teacher profile | teaching materials

Programme

Source discovery
Data quality
Data integration

Core Documentation

Slides by the teacher

Reference Bibliography

- Dong, Xin Luna, and Divesh Srivastava. "Big data integration." 2013 IEEE 29th international conference on data engineering (ICDE). IEEE, 2013. - Abedjan, Ziawasch, et al. Data profiling. Vol. 10. San Rafael, CA, USA: Morgan & Claypool Publishers, 2019. - Zha, Daochen, et al. "Data-centric ai: Perspectives and challenges." Proceedings of the 2023 SIAM International Conference on Data Mining (SDM). Society for Industrial and Applied Mathematics, 2023.

Attendance

The course is held in person. Attendance is not mandatory, but strongly recommended. Working students should contact the instructor at the beginning of the course

Type of evaluation

The oral exam consists of discussing the projects assigned by the instructor during the course.