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ORCIDPhD@VLDB 2017: Munich, Germany
- Peter Christen, Bettina Kemme, Erhard Rahm:
Proceedings of the VLDB 2017 PhD Workshop co-located with the 43rd International Conference on Very Large Databases (VLDB 2017), Munich, Germany, August 28, 2017. CEUR Workshop Proceedings 1882, CEUR-WS.org 2017
Session 1: Introductory session
- Bonaventura Del Monte:
Efficient Migration of Very Large Distributed State for Scalable Stream Processing. - Matthew A. Pugh:
Spatio-Temporal Locality in Hash Tables.
Session 2: Data Analytics and Queries
- André Petermann:
Graph Pattern Mining for Business Decision Support. - Veronika Strnadová-Neeley:
Efficient Clustering for Large-Scale, Sparse, Discrete Data with Low Fundamental Resolution. - Patrick Damme:
Query Processing Based on Compressed Intermediates. - Constantin Pohl:
A Hardware-Oblivious Optimizer for Data Stream Processing.
Session 3: Matching and Data Integration
- Anna Primpeli:
Generalizing Matching Knowledge using Active Learning. - Alina Petrova:
Comparing Entities in RDF Graphs. - Fuat Basik:
Scalable Linkage across Location Enhanced Services. - Fabian Fier:
Distributed Similarity Joins on Big Textual Data: Toward a Robust Cost-Based Framework.
Session 4: Final session (papers with short presentations)
- Zainab Zolaktaf:
Facilitating User Interaction With Data. - Tobias L. Brandt:
Processing Moving Object Data Streams with Data Stream Management Systems. - Chao Zhang:
Symmetric and Asymmetric Aggregate Function in Massively Parallel Computing. - Yuliang Li:
Practical Verification of Hierarchical Artifact Systems.
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