Paper “Distributed Similarity Joins on Big Textual Data: Toward a Robust Cost-Based Framework” Accepted for VLDB Conference 2017

Posted on May 23, 2017February 13, 2018 by Fabian Fier

Fabian’s paper on a cost-based framework for distributed similarity joins was accepted for the Very Large Databases Conference (VLDB). He will present it at the conference which takes place at the end of August/ beginning of September in Munich.

The HEADT Centre

Humboldt-Elsevier Advanced Data and Text Centre

Paper “Distributed Similarity Joins on Big Textual Data: Toward a Robust Cost-Based Framework” Accepted for VLDB Conference 2017