'Data deluge' diaporamas de présentation

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

865 views • 76 slides

Grids for Chemical Informatics

Grids for Chemical Informatics. Chemistry, IU Bloomington Oct. 21 2005 Geoffrey Fox Computer Science, Informatics, Physics Pervasive Technology Laboratories Indiana University Bloomington IN 47401 gcf@indiana.edu http://www.infomall.org. Why are Grids Important.

827 views • 72 slides

Preservation Metadata

Preservation Metadata. Michael Day Digital Curation Centre UKOLN, University of Bath http://www.ukoln.ac.uk/. Session outline. Introducing metadata Metadata in support of digital preservation The PREMIS Data Dictionary Preservation support in other types of metadata standards Summing-up.

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Remarks on Grids in CGL and Worldwide

Remarks on Grids in CGL and Worldwide. Tsinghua Dec 5 2005 Geoffrey Fox Computer Science, Informatics, Physics Pervasive Technology Laboratories Indiana University Bloomington IN 47401 gcf@indiana.edu http://www.infomall.org. Internet Scale Distributed Services.

679 views • 67 slides

Algorithms and the Grid

Algorithms and the Grid. Geoffrey Fox Computer Science, Informatics, Physics Pervasive Technology Laboratories Indiana University Bloomington IN 47401 March 18 2005 gcf@indiana.edu http://www.infomall.org. Trends in Simulation Research.

534 views • 52 slides

Diseases

Genes. Diseases. Diseases. Diseases. Physiology. Diseases. Physiology. Genes. Genes. Anatomy. Diseases. Physiology. Anatomy. Diseases. Physiology. Anatomy. Diseases. Physiology. Anatomy. Diseases. Physiology. Anatomy. Diseases. Physiology. Anatomy. Diseases. Anatomy.

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The Changing Collections for eScience: What it Means for Libraries

The Changing Collections for eScience: What it Means for Libraries. Julia Gelfand University of California, Irvine 26 February 2009. And from the UK:.

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X-Informatics Introduction: What is Big Data, Data Analytics and X-Informatics?

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Data analysis

Data analysis. Malathi Veeraraghavan Professor Charles L. Brown Dept. of Electrical and Computer Engineering University of Virginia mvee@virginia.edu Date: July 6, 2010. Outline. Increasing interest in data Data mining New course: From Data to Knowledge One example data set analysis

1.11k views • 26 slides

Data Analytics and its Curricula

Data Analytics and its Curricula. Geoffrey Fox gcf@indiana.edu Informatics, Computing and Physics Indiana University Bloomington. Microsoft eScience Workshop October 9 2012 Chicago. Data Analytics. Broad Range of Topics from Policy to new algorithms

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MIS 420 : Big Data , BI , Business Analytics , & Intro to Data Visualization

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Overview

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An Investigation into Immersive Visualization

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Computer Organization (Recap)

Computer Organization (Recap). http://www.pds.ewi.tudelft.nl/~iosup/Courses/2011_ti1400_0-plus-4.ppt. Multi-Processors. Lecture 9. Computers. Data representation, conversion, and op. Instruction repr./use I/O and Memory. Lectures 3,4,5,7.1, 7.2,8,Reader. Programmable Devices.

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Molecular dynamics of two ester hydrolases: comparison using the BioSimGrid database

Molecular dynamics of two ester hydrolases: comparison using the BioSimGrid database. Kaihsu Tai. H142. S144. N156. S203. H447. E334. OMPLA. AChE. The systems. both serine esterases (ester hydrolases, EC 3.1.1) with the catalytic triad: Ser - His - Glu|Asn. The trajectories.

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Data Deluge

010011100100100110101000101010100010101 1001010011011000111011010101101010101010101110110110 0101110101111 1001101101010. Data Deluge. Rama Chellappa Richard Baraniuk. Accelerating Data Deluge. 1250 billion gigabytes generated in 2010 # digital bits > # stars in the universe

298 views • 9 slides

Applications and Requirements for Scientific Workflow

Applications and Requirements for Scientific Workflow. May 1 2006 NSF Geoffrey Fox Indiana University. Team Members. Geoffrey Fox, Indiana University (lead) Mark Ellisman, UCSD Constantinos Evangelinos, Massachusetts Institute of Technology Alexander Gray, Georgia Tech

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Applications and Requirements for Scientific Workflow

Applications and Requirements for Scientific Workflow. May 1 2006 NSF Geoffrey Fox Indiana University. Team Members. Geoffrey Fox, Indiana University (lead) Mark Ellisman, UCSD Constantinos Evangelinos, Massachusetts Institute of Technology Alexander Gray, Georgia Tech

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Dynamic Data & Programming Paradigms

Dynamic Data & Programming Paradigms. mark birkin , joel saltz , paul jefferys , geoffrey fox, jeremy cohen , omer rana , dan katz , neil chue-hong , ally hume , shantenu jha. Why is everyone so “happy”? [ Except Us].

148 views • 4 slides