Contact Info:

For questions please contact:

goce@eecs.
northwestern.edu

Links:

arrow Northwestern University
arrow Northwestern EECS

Organizing Institutions:

Lawrence Berkeley National Laboratory

Northwestern University

Sponsors:

The University of Chicago Booth School of Business

Northwestern University Office for Research

Northwestern University Mccormick School of Engineering

Northwestern University Mccormick School of Engineering, Department of Electrical Engineering & Computer Science

29th International Conference on Scientific and Statistical Database Management

Conference Schedule

June 27 - June 29, 2017, Chicago, Illinois, USA

Detailed Agenda

Day 1: Tuesday, June 27


8:30-9:15 AM

Registration

9:15-9:30 AM

Opening remarks

AM Session 1
9:30-10:30 AM

Keynote 1 (ROOM 100): Rob Ross, Senior Scientist, Interim Director of MCS, Argonne National Laboratory [pdf]
Title: A renaissance for data management in HPC?

10:30-11:00 AM

Break

AM Session 2
11:00-12:30 AM

Long Papers Session: Streaming I (ROOM 100, Session chair: Goce Trajcevski)

  • Incremental Discovery of Inclusion Dependencies, Nuhad Shaabani and Christoph Meinel
  • FlatFIT: Accelerated Incremental Sliding-Window Aggregation For Real-Time Analytics, Anatoli Shein, Panos Chrysanthis and Alexandros Labrinidis
  • Generating What-If Scenarios for Time Series Data, Lars Kegel, Martin Hahmann and Wolfgang Lehner

12:30-1:30 PM

Working Lunch (lunch box provided)
Topic: presentation on SSDBM 2018 conference at Bolzano, Italy

PM Session 1
1:30-3:00

Long Papers Session: Streaming II (ROOM 100, Session chair: Johann Gamper)

  • Managing Sensor Data Streams: Lessons Learned from the WeBike Project, Christian Gorenflo, Lukasz Golab and Srinivasan Keshav
  • Incremental Temporal Pattern Mining Using Efficient Batch-Free Stream Clustering, Yifeng Lu, Marwan Hassani and Thomas Seidl
  • Query Suggestion to allow Intuitive Interactive Search in Multidimensional Time Series, Yifei Ding and Eamonn Keogh

3:00-3:30 PM

Break

PM Session 2
3:30-4:30 PM

PANEL 1: On-line Analytics (ROOM 100) [pdf]
Chair: Scott Klasky (ORNL)
Panelists: Will Schroeder (Kitware), Dave Poulsen (HDF group), Matthew Wolf (ORNL), Tom Peterka (ANL) and Shinjae Yoo (BNL)

Day 2: Wednesday, June 28

AM Session 1
8:30-10:00 AM

Long Papers Session: Graphs (ROOM 200, Session chair: Florin Rusu)

  • A Benchmark for Betweenness Centrality Approximation Algorithms on Large Graphs, Ziyad Alghamdi, Fuad Jamour, Spiros Skiadopoulos and Panos Kalnis
  • On-line Versioned Schema Inference for Large Semantic Web Data sources, Kenza Kellou-Menouer and Zoubida Kedad
  • Edge Labeling Schemes for Graph Data, Oshini Goonetilleke, Danai Koutra, Timos Sellis and Kewen Liao

10:00-10:30 AM

Break

AM Session 2
10:30-12:00 AM

Short Paper Posters and Demo Introductions (ROOM 200, Session chair: John Wu)

  • How the Passengers Flow in Complex Metro Networks?, Guandong Sun, Yun Xiong and Yangyong Zhu
  • DualDB: An Efficient LSM-based Publish-Subscribe Storage System, Mohiuddin Abdul Qader and Vagelis Hristidis
  • DistriPlan - An Optimized Join Execution Framework for Geo-Distributed Scientific Data, Roee Ebenstein and Gagan Agrawal
  • Challenges of Differentially Private Release of Data Under an Open-world Assumption, Elham Naghizade, James Bailey, Lars Kulik and Egemen Tanin
  • Mining Persistent and Discriminative Communities in Graph Ensembles, Steve Harenberg, Mandar Chaudhary and Nagiza Samatova
  • High-Definition Digital Elevation Modelling in Autonomous Driving, Andi Zang, Xin Chen and Goce Trajcevski
  • High Performance IO Tools for Mesh in Numerical Simulations, William Dai
  • Discovering partial periodic itemsets in temporal databases, Uday Kiran
  • Detecting Global Hyperparaboloid Correlated Clusters Based on Hough Transform, Daniyal Kazempour, Markus Mauder, Peer Kröger and Thomas Seidl
  • Tiling Strategies for Distributed Point Cloud Databases, János Szalai-Gindl, László Dobos and István Csabai
  • Computing Isochrones in Multimodal Spatial Networks using Tile Regions, Nikolaus Krismer, Doris Silbernagl, Günther Specht and Johann Gamper
  • Location and Processing Aware Datacube Caching, Veranika Levkevich, Dimitar Misev, Vlad Merticariu and Peter Baumann
  • MELT: Mapreduce-based Efficient Large-scale Trajectory Anonymization, Katrina Ward, Dan Lin and Sanjay Madria
  • BYOI: Augmenting Live Databases with Flexible Indices, James Wagner, Alexander Rasin and Tanu Malik
  • Improving Statistical Similarity Based Data Reduction for Non-Stationary Data, Dongeun Lee, Alex Sim, Jaesik Choi and Kesheng Wu
  • Dynamic Group Trip Planning Queries in Spatial Databases, Anika Tabassum, Sukarna Barua, Tanzima Hashem and Tasmin Chowdhury
  • SGVCut: A Vertex-Cut Partitioning Tool for Random Walks-based Computations over Social Network graphs (demo), Yifan Li, Camelia Constantin and Cedric Du Mouza
  • VISOR: Visualizing Summaries of Ordered Data (demo), Giovanni Mahlknecht, Anton Dignös, Johann Gamper and Michael Böhlen
  • Skluma: A statistical learning pipeline for taming unkempt data repositories (demo), Paul Beckman, Tyler Skluzacek, Kyle Chard and Ian Foster
  • Fides: A Platform for Responsible Data Science, Bill Howe, Julia Stoyanovich, Serge Abiteboul, Gerome Miklau, Arnaud Sahuguet and Gerhard Weikum
  • Measuring Fairness in Ranked Outputs, Ke Yang and Julia Stoyanovich
  • DataSynthesizer: Privacy-Preserving Synthetic Datasets (demo), Haoyue Ping, Julia Stoyanovich and Bill Howe

12:00-2:00 PM

Working Lunch, Poster, and Demo session (ROOM 621, lunch buffet provided)
Topic: attendees to discuss posters with presenters - posters already mounted.

PM Session 1
2:00-3:30

Long Papers Session: Spatial Data (ROOM 200, Session Chair: Peter Baumann)

  • BLOCK: Efficient Execution of Spatial Range Queries in Main-Memory, Matthaios Olma, Farhan Tauheed, Thomas Heinis and Anastasia Ailamaki
  • Probabilistic k-Nearest Neighbor Monitoring of Moving Gaussians, Kostas Patroumpas and Christos Koutras
  • Class-based Conditional MaxRS Query in Spatial Data Streams, Mir Imtiaz Mostafiz, S.M.Farabi Mahmud, Muhammed Mas-Ud Hussain, Mohammed Eunus Ali and Goce Trajcevski

3:30-4:00 PM

Break

PM Session 2
4:00-5:30 PM

Long Papers Session: Best Papers (ROOM 200, Session chair: Alok Choudhary)

  • Computing Influence of a Product through Uncertain Reverse Skyline, Best Paper, Md Saiful Islam, Wenny Rahayu, Chengfei Liu, Tarique Anwar and Bela Stantic
  • Multi-Hypothesis CSV parsing, Best Paper Runner Up, Till Döhmen, Hannes Mühleisen and Peter Boncz
  • Fast Join Algorithms on GPUs: Design and Implementation, Best Paper Runner Up, Ran Rui and Yi-Cheng Tu

7:00-10:00 PM

Dinner Cruise (Boarding at 6:30)
Departing from Navy Pier.

Day 3: Thursday, June 29

AM Session 1
9:00-10:00 AM

Keynote 2 (ROOM 200): Lucy Nowell, DOE [pdf]
Title: Science in the Era of Extreme Heterogeneity

10:00-10:30 AM

Break

AM Session 2
10:30-12:00 AM

Long Papers Session: Querying (ROOM 200, Session chair: Egemen Tanin)

  • A Unified Correlation-based Approach to Sampling Over Joins, Niranjan Kamat and Arnab Nandi
  • Active Learning with Density-Initialized Decision Tree for Record Matching, Chenxiao Dou
  • SHRec: Scalable Holistic Recommendation, Ahmed Aly, Moustafa Hammad and Amr Ahmed

12:00-1:00 PM

Working Lunch (lunch box provided)
Topic: discuss research areas for future conferences ? solicit suggestions from attendees

PM Session 1
1:00-2:30

Long Papers Session: Data Analysis (ROOM 200, Session chair: Arie Shoshani)

  • Dot-Product Join: Scalable In-Database Linear Algebra for Big Model Analytics, Chengjie Qin and Florin Rusu
  • Data Series Similarity Using Correlation-Aware Measures, Katsiaryna Mirylenka, Michele Dallachiesa and Themis Palpanas
  • Bi-Level Online Aggregation on Raw Data, Yu Cheng, Weijie Zhao and Florin Rusu

2:30-3:00 PM

Break

PM Session 2
3:30-4:30 PM

PANEL 2: Theory-guided Data Science (ROOM 200)
Chair: Vipin Kumar (University of Minnesota)
Panelists: Lucy Nowell (DOE), Tanya Berger-Wolf (University of Illinois Chicago), Sai Ravela (MIT), and Anuj Karpatne (MIT)