BigDat 2020
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Schedule
Monday, 13
|
Tuesday, 14
|
Wednesday, 15
|
Thursday, 16
|
Friday, 17
Change to table view
Monday, 13
08:00-08:30
Reception
08:30-09:00
Location: Aula Magna
→ Welcome
09:00-10:30
Location: Aula Magna
,
Wil van der Aalst
- RWTH Aachen University ⊳
“Process Mining: A Very Different Kind of Machine Learning That Can Be Applied in Any Organization”
introductory/intermediate
Location: 155-2/3
,
Peter Rousseeuw
- KU Leuven ⊳
“Anomaly Detection by Robust Methods”
introductory
11:00-12:30
Location: Aula Magna
,
Rory Smith
- Monash University ⊳
“Learning from Data, the Bayesian Way”
introductory/intermediate
Location: 155-2/3
,
Jayanti Prasad
- Embold Technologies ⊳
“Big Code”
introductory/intermediate
12:30-13:30
Lunch
13:30-15:00
Location: Aula Magna
,
Charles Elkan
- University of California, San Diego ⊳
“A Rapid Introduction to Modern Deep Learning”
intermediate
Location: 155-2/3
,
Diego Calvanese
- Free University of Bozen-Bolzano ⊳
“Virtual Knowledge Graphs for Data Integration”
introductory
Location: 155-5/6
,
Lior Rokach and Bracha Shapira
- Ben-Gurion University of the Negev ⊳
“Recommender Systems”
introductory/intermediate
15:30-17:00
Location: Aula Magna
,
Wil van der Aalst
- RWTH Aachen University ⊳
“Process Mining: A Very Different Kind of Machine Learning That Can Be Applied in Any Organization”
introductory/intermediate
Location: 155-2/3
,
Peter Rousseeuw
- KU Leuven ⊳
“Anomaly Detection by Robust Methods”
introductory
17:30-19:00
Location: Aula Magna
,
Rory Smith
- Monash University ⊳
“Learning from Data, the Bayesian Way”
introductory/intermediate
Location: 155-2/3
,
Jayanti Prasad
- Embold Technologies ⊳
“Big Code”
introductory/intermediate
19:15-20:30
Location: (Remote) Aula Magna
,
Jeffrey Ullman
- Stanford University ⊳
“Big-data Algorithms That Aren't Machine Learning”
introductory
Tuesday, 14
08:00-08:45
Location: 155-2/3
→ Open session I
09:00-10:30
Location: Aula Magna
,
Charles Elkan
- University of California, San Diego ⊳
“A Rapid Introduction to Modern Deep Learning”
intermediate
Location: 155-2/3
,
Diego Calvanese
- Free University of Bozen-Bolzano ⊳
“Virtual Knowledge Graphs for Data Integration”
introductory
Location: 155-5/6
,
Lior Rokach and Bracha Shapira
- Ben-Gurion University of the Negev ⊳
“Recommender Systems”
introductory/intermediate
11:00-12:30
Location: Aula Magna
,
Wil van der Aalst
- RWTH Aachen University ⊳
“Process Mining: A Very Different Kind of Machine Learning That Can Be Applied in Any Organization”
introductory/intermediate
Location: 155-2/3
,
Peter Rousseeuw
- KU Leuven ⊳
“Anomaly Detection by Robust Methods”
introductory
12:30-13:30
Lunch
13:30-15:00
Location: Aula Magna
,
Rory Smith
- Monash University ⊳
“Learning from Data, the Bayesian Way”
introductory/intermediate
Location: 155-2/3
,
Jayanti Prasad
- Embold Technologies ⊳
“Big Code”
introductory/intermediate
15:30-17:00
Location: Aula Magna
,
Charles Elkan
- University of California, San Diego ⊳
“A Rapid Introduction to Modern Deep Learning”
intermediate
Location: 155-2/3
,
Diego Calvanese
- Free University of Bozen-Bolzano ⊳
“Virtual Knowledge Graphs for Data Integration”
introductory
Location: 155-5/6
,
Lior Rokach and Bracha Shapira
- Ben-Gurion University of the Negev ⊳
“Recommender Systems”
introductory/intermediate
17:30-19:00
Location: Aula Magna
,
Hanan Samet
- University of Maryland ⊳
“Sorting in Space: Multidimensional, Spatial, and Metric Data Structures for Applications in Spatial and Spatio-textual Databases, Geographic Information Systems (GIS), and Location-based Services”
introductory/intermediate
Location: 155-2/3
,
Sanchita Bhattacharya
- University of California, San Francisco ⊳
“Big Data in Immunology: Sharing, Dissemination, and Repurposing”
introductory/advanced
Location: 155-5/6
,
Jaideep Srivastava
- University of Minnesota ⊳
“Social Computing”
introductory/intermediate
19:15-20:30
Location: (Remote) Aula Magna
,
Jeffrey Ullman
- Stanford University ⊳
“Big-data Algorithms That Aren't Machine Learning”
introductory
20:30 - ...
Dinner with strangers
Wednesday, 15
08:00-08:45
Location: 155-2/3
→ Employer session
09:00-10:30
Location: Aula Magna
,
Wladek Minor
- University of Virginia ⊳
“Big Data in Biomedical Sciences”
introductory/advanced
Location: 155-2/3
,
Minos Garofalakis
- Technical University of Crete ⊳
“Streaming Data Analytics”
intermediate/advanced
11:00-12:30
Location: Aula Magna
,
Hanan Samet
- University of Maryland ⊳
“Sorting in Space: Multidimensional, Spatial, and Metric Data Structures for Applications in Spatial and Spatio-textual Databases, Geographic Information Systems (GIS), and Location-based Services”
introductory/intermediate
Location: 155-2/3
,
Sanchita Bhattacharya
- University of California, San Francisco ⊳
“Big Data in Immunology: Sharing, Dissemination, and Repurposing”
introductory/advanced
Location: 155-5/6
,
Jaideep Srivastava
- University of Minnesota ⊳
“Social Computing”
introductory/intermediate
12:30-13:30
Lunch
13:30-15:00
Location: Aula Magna
,
Wladek Minor
- University of Virginia ⊳
“Big Data in Biomedical Sciences”
introductory/advanced
Location: 155-2/3
,
Minos Garofalakis
- Technical University of Crete ⊳
“Streaming Data Analytics”
intermediate/advanced
15:30-17:00
Location: Aula Magna
,
Hanan Samet
- University of Maryland ⊳
“Sorting in Space: Multidimensional, Spatial, and Metric Data Structures for Applications in Spatial and Spatio-textual Databases, Geographic Information Systems (GIS), and Location-based Services”
introductory/intermediate
Location: 155-2/3
,
Sanchita Bhattacharya
- University of California, San Francisco ⊳
“Big Data in Immunology: Sharing, Dissemination, and Repurposing”
introductory/advanced
Location: 155-5/6
,
Jaideep Srivastava
- University of Minnesota ⊳
“Social Computing”
introductory/intermediate
17:15-17:45
Location: Aula Magna
→ UNIVPM presentation
18:00-19:30
Location: Aula Magna
→ Round table
19:30 - ...
Dinner with strangers
Thursday, 16
08:00-08:45
Location: 155-2/3
→ Open session II
09:00-10:30
Location: Aula Magna
,
Amr El Abbadi
- University of California, Santa Barbara ⊳
“An Introduction to Blockchain”
introductory/intermediate
Location: 155-2/3
,
Bamshad Mobasher
- DePaul University ⊳
“Context-aware Recommender Systems”
intermediate
11:00-12:30
Location: Aula Magna
,
Wladek Minor
- University of Virginia ⊳
“Big Data in Biomedical Sciences”
introductory/advanced
Location: 155-2/3
,
Minos Garofalakis
- Technical University of Crete ⊳
“Streaming Data Analytics”
intermediate/advanced
12:30-13:30
Lunch
13:30-15:00
Location: 155-2/3
,
Nitesh Chawla
- University of Notre Dame ⊳
“Learning in the Presence of Class Imbalance and Changing Distributions”
intermediate/advanced
Location: 155-5/6
,
Craig Knoblock
- University of Southern California ⊳
“Building Knowledge Graphs”
intermediate/advanced
15:30-17:00
Location: Aula Magna
,
Amr El Abbadi
- University of California, Santa Barbara ⊳
“An Introduction to Blockchain”
introductory/intermediate
Location: 155-2/3
,
Bamshad Mobasher
- DePaul University ⊳
“Context-aware Recommender Systems”
intermediate
17:30-19:00
Location: Aula Magna
,
Jiawei Han
- University of Illinois, Urbana-Champaign ⊳
“From Unstructured Text to TextCube: Automated Construction and Multidimensional Exploration”
intermediate/advanced
Location: 155-2/3
,
Asim Roy
- Arizona State University ⊳
“Hardware-based (GPU, FPGA based) Machine Learning That Exploits Massively Parallel Computing – An Overview of Concepts, Architectures and Neural Network Algorithm Implementation”
intermediate
Location: 155-5/6
,
Mayte Suárez-Fariñas
- Icahn School of Medicine at Mount Sinai ⊳
“Meta-analysis Methods for High-dimensional Data”
intermediate/advanced
19:15-20:30
Location: (remote) Aula Magna
→ Ullman
20:30 - ...
Dinner with strangers
Friday, 17
08:00-08:45
Location: 155-2/3
→ Industrial session II (see
Presentations
)
09:00-10:30
Location: Aula Magna
,
Sheelagh Carpendale
- Simon Fraser University ⊳
“Data Visualization”
introductory
Location: 155-2/3
,
Nitesh Chawla
- University of Notre Dame ⊳
“Learning in the Presence of Class Imbalance and Changing Distributions”
intermediate/advanced
Location: 155-5/6
,
Craig Knoblock
- University of Southern California ⊳
“Building Knowledge Graphs”
intermediate/advanced
11:00-12:30
Location: Aula Magna
,
Amr El Abbadi
- University of California, Santa Barbara ⊳
“An Introduction to Blockchain”
introductory/intermediate
Location: 155-2/3
,
Bamshad Mobasher
- DePaul University ⊳
“Context-aware Recommender Systems”
intermediate
12:30-13:30
Lunch
13:30-15:00
Location: Aula Magna
,
Jiawei Han
- University of Illinois, Urbana-Champaign ⊳
“From Unstructured Text to TextCube: Automated Construction and Multidimensional Exploration”
intermediate/advanced
Location: 155-2/3
,
Asim Roy
- Arizona State University ⊳
“Hardware-based (GPU, FPGA based) Machine Learning That Exploits Massively Parallel Computing – An Overview of Concepts, Architectures and Neural Network Algorithm Implementation”
intermediate
Location: 155-5/6
,
Mayte Suárez-Fariñas
- Icahn School of Medicine at Mount Sinai ⊳
“Meta-analysis Methods for High-dimensional Data”
intermediate/advanced
15:30-17:00
Location: Aula Magna
,
Sheelagh Carpendale
- Simon Fraser University ⊳
“Data Visualization”
introductory
Location: 155-2/3
,
Nitesh Chawla
- University of Notre Dame ⊳
“Learning in the Presence of Class Imbalance and Changing Distributions”
intermediate/advanced
Location: 155-5/6
,
Craig Knoblock
- University of Southern California ⊳
“Building Knowledge Graphs”
intermediate/advanced
17:30-19:00
Location: Aula Magna
,
Jiawei Han
- University of Illinois, Urbana-Champaign ⊳
“From Unstructured Text to TextCube: Automated Construction and Multidimensional Exploration”
intermediate/advanced
Location: 155-2/3
,
Asim Roy
- Arizona State University ⊳
“Hardware-based (GPU, FPGA based) Machine Learning That Exploits Massively Parallel Computing – An Overview of Concepts, Architectures and Neural Network Algorithm Implementation”
intermediate
Location: 155-5/6
,
Mayte Suárez-Fariñas
- Icahn School of Medicine at Mount Sinai ⊳
“Meta-analysis Methods for High-dimensional Data”
intermediate/advanced