The aim is to make this tutorial as accessible as possible to a wide ranging audience from various backgrounds. The content will focus on concepts and techniques rather than details of algorithms. Basic understanding in databases, algorithms, and probabilities will be beneficial but not required. The tutorial will be based on the book “Data Matching – Concepts and techniques for Record Linkage, Entity Resolution and Duplicate Detection” (Springer, 2012) written by the presenter.
Peter Christen is a Professor at the Research School of Computer Science at the Australian National University. He received his Diploma in Computer Science Engineering from ETH Zurich in 1995 and his PhD in Computer Science from the University of Basel in 1999.
His research interests are in data mining and data matching (record linkage), with a special focus on privacy-preserving techniques for record linkage, data integration, and data mining. He has published over 140 articles in these areas, including in 2012 the book `Data Matching' published by Springer. He is the principle developer of the Febrl (Freely Extensible Biomedical Record Linkage) open source data cleaning, deduplication and record linkage system.
For more details see: http://cs.anu.edu.au/people/Peter.Christen/
|Fecha||2 de julio de 2019
|Hora||11:00 a 15:00|
|Lugar de celebración||Salón de actos
Sede del Instituto de Estadística y Cartografía de Andalucía
Pabellón de Nueva Zelanda
C/ Leonardo Da Vinci, 21. Isla de La Cartuja
|Inscripción||Entrada libre mediante inscripción previa en el siguiente formulario.|
|Cómo llegar||Líneas de autobuses urbanos TUSSAM: Líneas C1 y C2. Parada en Facultad de Comunicación.|