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KDD 2016 - San Francisco, Aug 14th

KDD 2016 - San Francisco, Aug 14th. KDD 2016 Workshop on Large Scale Sports Analytics Objectives:. For the 3rd successive year, we will be running the KDD workshop on Large-Scale Sports Analytics. The objective of this workshop is to bring together researchers and analysts from academia and industry who work in sports analytics, data mining and machine learning. We hope to enable meaningful discussions about state-of-the-art in sports analytics research, and how it might be improved upon. UPDATE (13th Au...

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US

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pj●●●●●@gmail.com

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KDD 2016 - San Francisco, Aug 14th | large-scale-sports-analytics.org Reviews
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KDD 2016 - San Francisco, Aug 14th. KDD 2016 Workshop on Large Scale Sports Analytics Objectives:. For the 3rd successive year, we will be running the KDD workshop on Large-Scale Sports Analytics. The objective of this workshop is to bring together researchers and analysts from academia and industry who work in sports analytics, data mining and machine learning. We hope to enable meaningful discussions about state-of-the-art in sports analytics research, and how it might be improved upon. UPDATE (13th Au...
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KDD 2016 - San Francisco, Aug 14th | large-scale-sports-analytics.org Reviews

https://large-scale-sports-analytics.org

KDD 2016 - San Francisco, Aug 14th. KDD 2016 Workshop on Large Scale Sports Analytics Objectives:. For the 3rd successive year, we will be running the KDD workshop on Large-Scale Sports Analytics. The objective of this workshop is to bring together researchers and analysts from academia and industry who work in sports analytics, data mining and machine learning. We hope to enable meaningful discussions about state-of-the-art in sports analytics research, and how it might be improved upon. UPDATE (13th Au...

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large-scale-sports-analytics.org large-scale-sports-analytics.org
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Invited Speakers

http://www.large-scale-sports-analytics.org/Large-Scale-Sports-Analytics/Invited_Speakers.html

Computational Video for Sports: Challenges for Large Scale Data Analysis. Recognizing and Analyzing Ball Screen Defense in the NBA. Sarah Rudd ( StatDNA. Making Strides in Quantifying and Understanding Soccer. Gameplay First: Data Science at Blizzard Entertainment. Making an Idea Machine: Modular Architecture for a Scaleable Exploratory Data Analysis Platform in Genomics, Sports and Beyond.

2

Submission Information

http://www.large-scale-sports-analytics.org/Large-Scale-Sports-Analytics/Submissions.html

NEW - Deadline Extended: Due to popular demand, the workshop paper submission deadline has been extended to May 27. Poster submissions should be extended abstracts no more than 4 pages in length (in KDD format, do not need to be anonymous). Extended abstracts should be submitted by May 27th 11:59 PM PDT. Templates for submissions can be found here. Submissions can be made via CMT here. Links to submissions from previous years:. Poster Session 1 (Morning):. Spatio-temporal Analysis of Tennis Matches [.

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Yisong Yue | Machine Learning Researcher @ Caltech

http://www.yisongyue.com/index.php

Machine Learning Researcher @. California Institute of Technology. 1200 E. California Blvd. Pasadena, CA 91125. Please read before emailing. Diane Goodfellow ( diane@cms.caltech.edu. The Southern California Machine Learning Symposium. Will be held at Caltech on November 18th, 2016. CFP Deadline: October 4th. Registration Deadline: November 11th. I am an assistant professor in the Computing and Mathematical Sciences. Department at the California Institute of Technology. I am the director of the DOLCIT.

krvarshney.github.io krvarshney.github.io

Kush Varshney - Publications and Patents

http://krvarshney.github.io/publications.htm

Kush R. Varshney. Mathematical Sciences and Analytics. IBM T J. Watson Research Center. Yorktown Heights, NY 10598. Journal and Magazine Articles. J25 Understanding the Ecospace of Philanthropic Projects. Hemank Lamba, Mary E. Helander, Moninder Singh, Nizar Lethif, Anuradha Bhamidipaty, Salman Baset, Aleksandra Mojsilović, and Kush R. Varshney. IBM Journal of Research and Development, in press. J23 How to Foster Innovation: A Data-Driven Approach to Measuring Economic Competitiveness. Evan Patterson, Ro...

informationashvins.wordpress.com informationashvins.wordpress.com

Remote Sensing | Information Ashvins

https://informationashvins.wordpress.com/2014/09/07/remote-sensing

Laquo; Information Metabolism and Waste Production. Digging into a city. September 7, 2014. Acquiring information from afar is often quite important, whether to reduce the cost of ground investigation, to get a wider view, or perhaps to conceal surveillance activities. A couple weeks ago at the 20th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. You had a ‘social good’ paper. Under whose auspices the work was carried out together with the the charity GiveDirectly. I wonder, though, whether...

blogs.sas.com blogs.sas.com

Subconscious Musings - Advanced analytics - from Research Drive to the world

http://blogs.sas.com/content/subconsciousmusings

News and views from the people who make SAS a great place to work. Evolving relationships for business growth. Your pathway from strategy to process to repeatable value creation. A SAS blog for the rest of us. Statistical programming in SAS with an emphasis on SAS/IML programs. Operations Research with SAS. Optimize, Simulate, Understand. Data visualization, statistical discovery, design of experiments, predictive modeling and more. Data Visualization with a focus on SAS ODS Graphics. A Shot in the Arm.

yyue.blogspot.com yyue.blogspot.com

Random Ponderings: KDD 2015 Workshop on Large-Scale Sports Analytics

http://yyue.blogspot.com/2015/04/kdd-2015-workshop-on-large-scale-sports.html

Thursday, April 09, 2015. KDD 2015 Workshop on Large-Scale Sports Analytics. We are pleased to announce that the KDD Workshop on Large-Scale Sports Analytics will be taking place in Sydney this year on August the 10th at KDD 2015. Similar to last year, it will be a full day workshop consisting of invited speakers as well as poster sessions for submitted papers. A call for paper submissions is below. Call for Submissions = =. When: August 10th, 2015. Where: Sydney, Australia. Feature learning and latent f...

informationashvins.wordpress.com informationashvins.wordpress.com

September | 2014 | Information Ashvins

https://informationashvins.wordpress.com/2014/09

Archive for September, 2014. September 7, 2014. Acquiring information from afar is often quite important, whether to reduce the cost of ground investigation, to get a wider view, or perhaps to conceal surveillance activities. A couple weeks ago at the 20th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. You had a ‘social good’ paper. Under whose auspices the work was carried out together with the the charity GiveDirectly. Congratulations on the best paper award. I wonder, though, whether th...

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KDD 2016 - San Francisco, Aug 14th

KDD 2016 - San Francisco, Aug 14th. KDD 2016 Workshop on Large Scale Sports Analytics Objectives:. For the 3rd successive year, we will be running the KDD workshop on Large-Scale Sports Analytics. The objective of this workshop is to bring together researchers and analysts from academia and industry who work in sports analytics, data mining and machine learning. We hope to enable meaningful discussions about state-of-the-art in sports analytics research, and how it might be improved upon. UPDATE (13th Au...

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