EDBT Accepted Short Papers

DBMS Performance Troubleshooting in Cloud Computing Using Transaction Clustering

Arunprasad Marathe (Huawei Technologies Canada)

 

Optimising Fairness Through Parametrised Data Sampling

Carlos Vladimiro Gonzalez Zelaya (Newcastle University),  Julián Salas (Universitat Rovira i Virgili), Dennis Prangle (Newcastle University), Paolo Missier (Newcastle University)

 

Preserving Diversity in Anonymized Data

Mostafa Milani (The University of Western Ontario),  Yu Huang (McMaster University),  Fei Chiang (McMaster University)

 

KISS – A fast kNN-based Importance Score for Subspaces

Anna Beer (LMU Munich),  Ekaterina Allerborn (LMU Munich),  Valentin Hartmann (EPFL), Thomas Seidl (LMU Munich)

 

Robust and Memory-Efficient Database Fragment Allocation for Large and Uncertain Database Workloads

Rainer Schlosser (Hasso Plattner Institute), Stefan Halfpap (Hasso Plattner Institute)

 

Revisiting Multidimensional Adaptive Indexing [Experiment & Analysis]

Anders Hammershøj Jensen (Aarhus University), Frederik Lauridsen (Aarhus University), Fatemeh Zardbani (Aarhus University), Stratos Idreos (Harvard), Panagiotis Karras (Aarhus University)

 

Multiple-Source Context-Free Path Querying in Terms of Linear Algebra

Semyon Grigorev (St.Petersburg State University)

 

Efficient Exploratory Clustering Analyses with Qualitative Approximations

Manuel Fritz (Universität Stuttgart), Dennis Tschechlov (Universität Stuttgart), Holger Schwarz (Universität Stuttgart)

 

Towards Scalable Data Discovery

Javier Flores (Universitat Politècnica de Catalunya), Sergi Nadal (Universitat Politècnica de Catalunya), Oscar Romero (Universitat Politècnica de Catalunya)

 

Twin Subsequence Search in Time Series

Georgios Chatzigeorgakidis (Athena Research Center), Dimitrios Skoutas (Athena Research Center), Kostas Patroumpas (Athena Research Center), Themis Palpanas (University of Paris), Spiros Athanasiou (Athena Research Center), Spiros Skiadopoulos (University of the Peloponnese)

 

Human-Interpretable Rules  for Anomaly Detection in Time-series

Ines Ben Kraiem (UT2J), Faiza Ghozzi (University of Sfax), André Péninou (IRIT, UT2J), Geoffrey Roman-Jimenez (CNRS-IRIT), Olivier  Teste (IRIT, University of Toulouse)

 

AutoML4Clust: Efficient AutoML for Clustering Analyses

Dennis Tschechlov (Universität Stuttgart), Manuel Fritz (Universität Stuttgart), Holger Schwarz (Universität Stuttgart)

 

Querying Top-k Dominant Traffic Flows on Large Urban Road Networks

Stella Maropaki (Norwegian University of Science and Technology), Paolo Sottovia (Huawei); Stefano Bortoli (Huawei)

 

TD-AC: Efficient Data Partitioning based Truth Discovery

Mouhamadou Lamine BA (Université Alioune Diop de Bambey), Osias Noël Nicodème Finagnon TOSSOU (African Institute for Mathematical Sciences)

 

HorsePower: Accelerating Database Queries for Advanced Data Analytics

Hanfeng Chen (McGill University), Joseph D’silva (McGill University), Laurie Hendren (McGill University), Bettina  Kemme (McGill University)

 

Indexed Log File: Towards Main Memory Database Instant Recovery

Arlino Magalhães (Federal University of Piauí), Angelo Brayner (Federal University of Ceará), José Maria Monteiro (Federal University of Ceará), Gustavo Moraes (Federal University of Ceará)