VLDB-PhD 2017
VLDB 2017 PhD Workshop

Table of Contents

• Preface
  
  

Session 1: Introductory session

• The Next 700 Transaction Processing Engines (invited talk)
  Anastasia Ailamaki
• Efficient Migration of Very Large Distributed State for Scalable Stream Processing
  Bonaventura Del Monte
• Spatio-Temporal Locality in Hash Tables
  Matthew A. Pugh

Session 2: Data Analytics and Queries

• Graph Pattern Mining for Business Decision Support
  André Petermann
• Efficient Clustering for Large-Scale, Sparse, Discrete Data with Low Fundamental Resolution
  Veronika Strnadova-Neeley
• Query Processing Based on Compressed Intermediates
  Patrick Damme
• A Hardware-Oblivious Optimizer for Data Stream Processing
  Constantin Pohl

Session 3: Matching and Data Integration

• Generalizing Matching Knowledge using Active Learning
  Anna Primpeli
• Comparing Entities in RDF Graphs
  Alina Petrova
• Scalable Linkage across Location Enhanced Services
  Fuat Basik
• Distributed Similarity Joins on Big Textual Data: Toward a Robust Cost-Based Framework
  Fabian Fier

Session 4: Final session (papers with short presentations)

• Facilitating User Interaction With Data
  Zainab Zolaktaf
• Processing Moving Object Data Streams with Data Stream Management Systems
  Tobias L. Brandt
• Symmetric and Asymmetric Aggregate Function in Massively Parallel Computing
  Chao Zhang
• Practical Verification of Hierarchical Artifact Systems
  Yuliang Li