Program

SSDBM 2020 is an online event with the following format.
All talks are available as prerecorded videos accompanied with slides.
Discussion and Q&A take place asynchronously in a Slack workspace over the three days of the conference.

Overview

Opening
Keynotes
Research Session 1: Statistical Data Analysis
Research Session 2: Spatial and Temporal Data
Research Session 3: Modeling, Indexing and Querying
Research Session 4: Graph Data
Research Session 5: Applied Computing
Demo Session

Note: The Slack channel links will only work once you have joined and are logged in to the SSDBM 2020 workspace. The invitation link to the SSDBM 2020 Slack workspace is available to registered participants.

Opening

Welcome Note
slides — video

Keynotes

slack channel

Arrays in Databases: from Underdog to First-Class Citizen
Peter Baumann (Jacobs University in Bremen)
abstract — slides — video

Smart City Vienna
Walter Palmetshofer (Urban Innovation Vienna)
abstract — slides — video

Research Session 1: Statistical Data Analysis

slack channel

LRZ Convolution: An Algorithm for Automatic Anomaly Detection in Time-series Data
Arunprasad Marathe (Huawei Technologies Canada)
slides — video

Accessible Streaming Algorithms for the Chi-Square Test
Emily Farrow (Denison University); Junbo Li (Denison University); Farhan Zaki (Denison University); Ashwin Lall (Denison University)
slides — video

Efficient Calculation of Empirical P-values for Association Testing of Binary Classifications
Konstantinos Zagganas (University of the Peloponnese & Athena Research Center); Thanasis Vergoulis (Athena Research Center); Spiros Skiadopoulos (University of the Peloponnese); Theodore Dalamagas (Athena Research Center)
slides — video

Unsupervised non-parametric change point detection in quasi-periodic signals (short)
Nikolay Shvetsov (Skolkovo Institute of Science and Technology); Nazar Buzun (Skolkovo Institute of Science and Technology); Dmitry Dylov (Skolkovo Institute of Science and Technology)
slides — video

Research Session 2: Spatial and Temporal Data

slack channel

GeoPrune: Efficiently Matching Trips in Ride-sharing Through Geometric Properties
Yixin Xu (The University of Melbourne); Jianzhong Qi (The University of Melbourne); Renata Borovica-Gajic (The University of Melbourne); Lars Kulik (The University of Melbourne)
slides — video

STILT: Unifying Spatial, Temporal and Textual Search using a Generalized Multi-dimensional Index
Yoann Arseneau (University of New Brunswick, Fredericton); Saransh Gautam (University of New Brunswick, Fredericton); Bradford Nickerson (University of New Brunswick, Fredericton); Suprio Ray (University of New Brunswick, Fredericton)
slides — video

Transit-based Task Assignment in Spatial Crowdsourcing
Srinivasa Raghavendra Bhuvan Gummidi (Aalborg University); Torben Bach Pedersen (Aalborg University); Xike Xie (University of Science and Technology of China)
slides — video

Improving geocoding quality via learning to integrate multiple geocoders (short)
Konstantinos Alexis (Athena Research Center); Vassilis Kaffes (Athena Research Center); Ilias Varkas (Eratosthenes S.A.); Andreas Syngros (Eratosthenes S.A.); Nontas Tsakonas (Geodata S.A.); Giorgos Giannopoulos (Athena Research Center)
slides — video

Determining the provenance of land parcel polygons via machine learning (short)
Vassilis Kaffes (Athena Research Center & University of the Peloponnese); Giorgos Giannopoulos (Athena Research Center); Nontas Tsakonas (Eratosthenes S.A.); Spiros Skiadopoulos (University of the Peloponnese)
slides — video

The Distributed Vantage Spatial Index: Executing Distance Queries at Scale (short)
Giannis Evagorou (Imperial College London); Marco Lavalle (Imperial College London); Thomas Heinis (Imperial College London)
slides — video

Research Session 3: Modeling, Indexing and Querying

slack channel

Freedom for the SQL-Lambda: Just-in-Time-Compiling User-Injected Functions in PostgreSQL
Maximilian Schule (Technical University of Munich); Jakob Huber (Technical University of Munich); Alfons Kemper (Technical University of Munich); Thomas Neumann (Technical University of Munich)
slides — video

Selectivity Estimation for Relation-Tree Joins
Chao Zhang (University of Helsinki); Jiaheng Lu (University of Helsinki)
slides — video

Top-k String Similarity Joins
Shuyao Qi (The University of Hong Kong); Panagiotis Bouros (Johannes Gutenberg University Mainz); Nikos Mamoulis (University of Ioannina)
slides — video

Towards Co-Evolution of Data-Centric Ecosystems
Robert Schuler (USC/ISI); Karl Czajkowski (USC/ISI); Mike D’Arcy (USC/ISI); Hongsuda Tangmunarunkit (USC/ISI); Carl Kesselman (ISI/USC)
slides — video

A Decomposition Approach for Risk-Averse Index Selection (short)
Rainer Schlosser (Hasso Plattner Institute); Stefan Halfpap (Hasso Plattner Institute)
slides — video

Orderings of Data - More Than a Tripping Hazard (short)
Anna Beer (LMU Munich); Valentin Hartmann (Ecole Polytechnique Federale de Lausanne); Thomas Seidl (LMU Munich)
slides — video

Research Session 4: Graph Data

slack channel

A Versatile Hypergraph Model for Document Collections
Andreas Spitz (Ecole polytechnique federale de Lausanne); Dennis Aumiller (Heidelberg University); Balint Soproni (Universitat Heidelberg); Michael Gertz (Heidelberg University)
slides — video

Node Classification and Link Prediction in Social Graphs using RLVECN
Bonaventure Molokwu (University of Windsor); Shaon Bhatta Shuvo (University of Windsor); Narayan Kar (University of Windsor); Ziad Kobti (University of Windsor)
slides — video

Vectorising k-Core Decomposition for GPU Acceleration (short)
Amir Mehrafsa (University of Victoria); Sean Chester (University of Victoria); Alex Thomo (University of Victoria)
slides — video

Hurricane in Bipartite Graphs: The Lethal Nodes of Butterflies (short)
Qiuyu Zhu (Zhejiang Gongshang University); Jiahong Zheng (Zhejiang Gongshang University); Hao Yang (Zhejiang Gongshang University); Chen Chen (Zhejiang Gongshang University); Xiaoyang Wang (Zhejiang Gongshang University); Ying Zhang (University of Technology Sydney)
slides — video

Cohesive Subgraph Detection in Large Bipartite Networks (short)
Yang Hao (Zhejiang Gongshang University); Mengqi Zhang (Zhejiang Gongshang University); Xiaoyang Wang (Zhejiang Gongshang University); Chen Chen (Zhejiang Gongshang University)
slides — videos

Research Session 5: Applied Computing

slack channel

Efficient Search over Genomic Short Read Data
Wangda Zhang (Columbia University); Kenneth Ross (Columbia University)
slides — video

Deluceva: Delta-Based Neural Network Inference for Fast Video Analytics
Jingjing Wang (Facebook, Inc); Magdalena Balazinska (University of Washington)
slides — video

Figure Captioning in Scholarly Literatures to Augment Search Results (short)
Jingya Yang (Wuhan University of Technology); Dongdong Zhang (Wuhan University of Technology); Gaocai Dong (Wuhan University of Technology); Jing Peng (Wuhan University of Technology)
slides — video

An Algebraic Approach for High-level Text Analytics (short)
Xiuwen Zheng (University of California San Diego); Amarnath Gupta (University of California San Diego)
slides — video

Shared Execution Techniques for Business Data Analytics over Big Data Streams (short)
Serkan Uzunbaz (Amobee); Walid Aref (Purdue University); Khaled Elmeleegy (Google)
slides — video

Demo Session

slack channel

DocDesign: Cost-Based Database Design for Document Stores
Moditha Hewasinghage (UPC); Alberto Abello (Universitat Politecnica de Catalunya); Jovan Varga (Universitat Politecnica de Catalunya); Esteban Zimanyi (Universite Libre de Bruxelles)
slides — video

WALLeSMART: Cloud Platform for Smart Farming
Amine Roukh (University of Mons); Fabrice Nolack Fote (University of Mons); Sidi Ahmed Mahmoudi (University of Mons); Said Mahmoudi (University of Mons)
slides — video

Combining Two Worlds: MonetDB with Multi-Dimensional Index Structure Support to Efficiently Query Scientific Data
Paul Blockhaus (University of Magdeburg); David Broneske (University of Magdeburg); Martin Schaler (Karlsruhe Institute of Technology); Veit Koeppen (University of Magdeburg); Gunter Saake (University of Magdeburg)
slides — video

We Know What You Did Last Session - Policy-Based Query Classification for Data-Privacy Compliance With the DataEconomist
Peter Schwab (FAU Erlangen-Nurnberg); Maximilian Langohr (FAU Erlangen-Nurnberg); Klaus Meyer-Wegener (University of Erlangen and Nuremberg)
slides — video