We have just started to organize our 3rd user conference on Monday July 21, 2014 at the Nikko Hotel, SF. This is a very preliminary notice to attract companies and universities who like to be involved. We are planning a mega event this year with around 800-900 data scientists attending, with the topic of graph analytics and large scale machine learning.
The conference is a non-profit event held by GraphLab.org to promote applications of large scale graph analytics in industry. We invite talks from all major state-of-the-art systems for graph processing, graph databases and large scale data analytics and machine learning. We are looking for sponsors who would like to contribute to the event organization.
Preliminary talks:
- Reynold Xin, co-Founder of Databricks will present Machine Learning and Graph Computation on Spark
- Wes McKinney, Founder & CEO of DataPad – TBA
- Prof. Carlos Guestrin, Founder & CEO of GraphLab will present GraphLab
- Prof. Vahab Mirrokni from Google Google Research New York team – ASYMP: Fault-tolerant Graph Mining via ASYnchronous Message Passing
- Prof. Joe Hellerstein, Founder & CEO of Trifacta – TBA
- Tao Ye, Senior Scientist, Pandora Internet Radio – TBA
- Josh Wills, Director of Data Science at Cloudera – TBA
- Milind Bhandarkar, Chief Scientist at Pivotal – The Zoo Expands: Labrador 💛 Elephant thanks to Hamster
- Dr. Markus Weimer,Microsot Research - REEF: Towards a Big Data stdlib
- Karthik Ramachandran and Erick Tryzelaar, Lab41: Dendrite large scale graph analytics
Preliminary demos:
Dr. Ari Tuchman: Beyond Sentiment and Buzz: Extracting the Answers that Matter Though Predictive Correlations from Unstructured Chatter | |
TBA | |
TBA | |
Paul Hoffman: Large Scale Machine Learning on Sparse Graphs | |
Dr. Jans Aasman, CEO, Franz Inc. Drag and Drop Graph Query Generator | |
Dr. Zhisong Fu, Mike Personick, and Bryan Thompson: Ultra fast graph mining on GPUs. | |
TBA | |
TBA | |
Tristan Zajonc and Anand Patil: Sense | |
Dr. David Talby: Beyond ML basics: Localized, evolving, hybrid & automated modeling at scale | |
Simon Chan: An Open Source Machine Learning Server for Developers | |
TBA | |
Adam Fuchs, CTO Sqrrl: How To Build Secure, Massively Scalable Graphs with Sqrrl | |
Dr. Steven Hillion, Alpine Data Labs:
Fast classification algorithms on Hadoop
| |
Jacob Nelson: Grappa graph engine | |
Prof. Joshua Bloom, wiso.io: Machine-learning Driven Automated Insight Workflows | |
Dr. Matthias Broecheler, Titan – Scalable Graph Computing in Real-time and Offline | |
TBA | |
Prof. Eric Xing: Petuum – a new distributed machine learning framework | |
Corey Lanum, General Manager of North America, Cambridge Intelligence: How to make useful interactive graph visualizations | |
Dr. Ira Cohen, HP Software: Scaling the data scientist | |
Brendan Madden, Tom Sawyer Software: TBA | |
Dr. Jason Riedy, Georgia Tech: STING: High-Performance Analysis for Streaming Graph Data | |
Dr. Hassan Chafi, Oracle: Graph Analytics Research at Oracle Labs | |
Dr. Achim Rettinger, EPPICS: Cross-lingual Cross-modal Analytics of Dynamic Graphs | |
TBA | |
Corinna Bahr, Continuum.io: Agile Data Exploration & Visualization with Blaze and Bokeh | |
Graphistry | Leo Meyerovich, Graphistry: Scaling Visualization with Design and GPUs |
Domino Data Labs | Nick Elprin: Domino Data Labs |
Dr. Fernando Perez, Berkeley: IPython: from interactive computing to computational narratives | |
Dr. Linas Baltrunas and Dr. Dionysos Logothetis:, Telefonica Research:Grafos.ml: Tools for large scale ML and graph analysis | |
Ms. Raquel Pau, Sparsity Technologies: Tweeticer, Social Network Analysis with graphs using Sparksee. | |
SriSatish Ambati, co-founder and CEO: TBA | |
Jonathan Dinu, CTO Zipfian Academy: TBA | |
Demian Bellumio, COO Senzari: MusicGraph | |
Sutanay Choudhury, Pacific Northwest National Lab: M&Ms4Graphs: Multi-scale, Multi-dimensional Graph Analytics Tools for Cyber-Security | |
Michael Zeller, CEO Zementis: Accelerate predictive analytics with massively parallel scoring | |
Sébastien Heymann CEO and Jean Villedieu Co-founder, Linkurious: How can graph visualization help understand graphs faster? | |
Richard Socher, Stanford: etcML project | |
MongoDB: TBA | |
Amit Moran, Crosswise: TBA |
No comments:
Post a Comment