May 23, 2013 - May 24, 2013

Big Data Analytics 2013

Location: Microsoft Research, Cambridge, U.K.

Day 1

8:00 – 8:45
Continental breakfast

8:45 – 9:00
Welcome note

9:00 – 10:00 | Abstract | Slides | Video
Keynote talk, Gerhard Weikum, Max Planck Institute for Informatics
From Text to Entities and from Entities to Insight: a Perspective on Unstructured Big Data

10:00 – 10:30 | Abstract
Anastasia Ailamaki, EPFL
Querying and Exploring Big Brain Data

10:30 – 11:00
Refreshments

Programming and Computation Models

11:00 – 11:30 | Abstract | Slides | Video
Volker Markl, TU-Berlin
Big Data with Stratosphere

11:30 – 12:00 | Abstract
Jingren Zhou, Microsoft Corporation
SCOPE: Parallel Databases Meet MapReduce

12:00 – 13:00
Lunch

Algorithms, Infrastructure, and Platforms

13:00 – 13:30 | Abstract | Slides | Video
Flavio P. Junqueira, Microsoft Research
Online Data Processing with S4 and Omid

13:30 – 14:00 | Abstract | Slides | Video
Thomas Karagiannis, Microsoft Research
Predictable Data Centers

14:00 – 14:30 | Abstract
Sergei Vassilvitskii, Google
From Terabytes to Megabytes: Finding the Needle by Shrinking the Haystack

14:30 – 15:00 | Abstract | Slides | Video
Frank McSherry, Microsoft Research
Incremental, Iterative, and Interactive Computation using Differential Dataflow

15:00 – 16:00 | See Demos and Posters Tab
Refreshments + Demo and Poster Session

Large-scale Graph Analytics

16:00 – 16:30 | Abstracts | Slides
Guy Blelloch, Carnegie Mellon University
Big Data on Small Machines

16:30 – 17:00 | Abstracts | Slides
Sudipto Guha, University of Pennsylvania
Graphs and Linear Measurements

17:00 – 17:30 | Abstract | Slides
George Karypis, University of Minnesota
Partitioning & Clustering Big Graphs

17:30 – 18:00 | Abstract | Slides
Stefano Leonardi, Sapienza University of Rome
Online Team Formation in Social Networks

19:00 – 21:00
Workshop reception and dinner at Emmanuel College

Day 2

8:30 – 9:00
Coffee and pastries

9:00 – 10:00 | Abstract
Keynote talk
Surajit Chaudhuri, Microsoft Research
Big Data and Enterprise Analytics

10:00 – 10:30 | Abstract | Slides | Video
Graham Cormode, University of Warwick
Streaming Verification of Outsourced Computation

10:30 – 11:00
Refreshments + Group photo

11:00 – 12:00 | Panel
Moderator:
Graham Cormode, University of Warwick
Panelists:
Surajit Chaudhuri, Microsoft Research
Sudipto Guha, University of Pennsylvania
Sergei Vassilvitskii, Google
Jingren Zhou, Microsoft Corporation
Big Data Analytics: A Happy Marriage of Systems and Theory?

12:00 – 13:30
Lunch

13:30 – 14:30 | Abstract
Keynote talk, Sanjeev Khanna, University of Pennsylvania
Fast Algorithms for Perfect Matchings in Regular Bipartite Graphs

Large-Scale Graph Analytics Cont’d

14:30 – 15:00 | Abstract | Slides
Aleksandar Madry, EPFL
Cuts, Trees, and Electrical Flows

15:00 – 15:30 | Abstract | Slides | Video
Srikanta Tirthapura, Iowa State University
Neighborhood Sampling for Estimating Local Properties on a Graph Stream

15:30 – 16:00
Refreshments

Streaming and Massive Distributed Data

16:00 – 16:30 | AbstractVideo
Amit Chakrabarti, Dartmouth College
What Can’t We Compute on Data Streams?

16:30 – 17:00 | Abstract | Slides | Video
Minos Garofalakis, Technical University of Crete
Querying Big, Dynamic, Distributed Data

17:00 – 17:30 | Abstract | Slides | Video
Ke Yi, Hong Kong University of Science and Technology
Mergable Summaries

17:30 – 18:00
Closing session