'Massive data' diaporamas de présentation

Data Stream Algorithms Intro, Sampling, Entropy

Data Stream Algorithms Intro, Sampling, Entropy. Graham Cormode graham@research.att.com. Outline. Introduction to Data Streams Motivating examples and applications Data Streaming models Basic tail bounds Sampling from data streams Sampling to estimate entropy. Data is Massive.

1.86k views • 113 slides

Our Challenges

Our Challenges. My sincere THANKS to AMS President Eric Friedlander, Past President Jim Glimm, Secretary Bob Daverman, Executive Director Don McClure, Associate Executive Director Ellen Maycock and all the AMS staff for their enthusiastic assistance during my Presidential term. DMS name change

864 views • 76 slides

Evolution of OpenCL *

710 views • 51 slides

The Role of Sensory Psychology to VoIP Rate Adaptation : A Study on Skype Calls

The Role of Sensory Psychology to VoIP Rate Adaptation : A Study on Skype Calls. Skype Group, NSLAB INFOCOMM2012(Hopefully). Tx /Rx Content Bitrate Jitter Packet Loss Rate Quality of Service( QoS ). Mean Opinion Score (MOS) Reaction Time Reactivity/Responsiveness

581 views • 49 slides

More Data Mining Success Stories for Marketing and Related Fields

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The Tonnabytes Big Data Challenge: Transforming Science and Education

576 views • 39 slides

TRAFFIC JAM AVOIDANCE

TRAFFIC JAM AVOIDANCE. Acknowledgement Project Idea. Requirements The Technology used and why it is used. The Main idea used The Algorithm used. Program used to implement it Output shape. Double Handover Technique ? Idea ? Equation: ? Conclusion.

483 views • 37 slides

Data Compression by Quantization

Data Compression by Quantization. Edward J. Wegman Center for Computational Statistics George Mason University. Outline. Acknowledgements Complexity Sampling Versus Binning Some Quantization Theory Recommendations for Quantization. Acknowledgements.

539 views • 33 slides

TRAFFIC JAM AVOIDANCE

TRAFFIC JAM AVOIDANCE. Acknowledgement Project Idea. Requirements The Technology used and why it is used. The Main idea used The Algorithm used. Program used to implement it Output shape. Double Handover Technique ? Idea ? Equation: ? Conclusion.

400 views • 33 slides

Massive Data Algorithmics

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Business Analytics

478 views • 31 slides

Sketching as a Tool for Numerical Linear Algebra

Sketching as a Tool for Numerical Linear Algebra. David Woodruff IBM Almaden. Massive data sets. Examples Internet traffic logs Financial data etc. Algorithms Want nearly linear time or less Usually at the cost of a randomized approximation. Regression analysis. Regression

456 views • 30 slides

Advisor ? Dr. Hsu Graduate ? Jian-Lin Kuo Author ? Silvia Nittel Kelvin T.Leung

???????? National Yunlin University of Science and Technology. Scaling Clustering Algorithm for Massive Data Sets using Data Streams. Advisor ? Dr. Hsu Graduate ? Jian-Lin Kuo Author ? Silvia Nittel Kelvin T.Leung Amy Braverman. Outline. N.Y.U.S.T. I.M.

413 views • 25 slides

Intrusion Detection on a Shoestring Budget

Intrusion Detection on a Shoestring Budget. Shane Williams UT Austin Graduate School of Library and Information Science Oct. 18, 2000 SANS Network Security 2000. Setting. Public university department Lean budget Priority on openness Limited technical knowledge Independent faculty

302 views • 19 slides

Social Information Processing

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682 views • 17 slides

Massive Choice Data

529 views • 17 slides

Massive Choice Data

302 views • 17 slides

Towards a roadmap for Future Internet R esearch

Towards a roadmap for Future Internet R esearch. Nick Wainwright HP Labs / Effectsplus project. Towards a roadmap for Future Internet Research.

233 views • 15 slides

Welcome to BINF704 Fall2014!!

Welcome to BINF704 Fall2014!!. Jeff Solka Ph.D. Course Philosophy. This is the first attempt to design a colloquia course that can be executed remotely. A portion of the course is executed asynchronously Your review of the talks that I have selected

213 views • 11 slides

Open Data Promotion Consortium Chairman, Hiroshi Komiyama

Dec. 9, 2013 Open Data Symposium. Opening Address & Mini Lecture Open Data and Business. Open Data Promotion Consortium Chairman, Hiroshi Komiyama. Open Data - Trend and Examples of Utilization. ? Early birds adapted to machine-readability and

280 views • 10 slides