'Data exploration' diaporamas de présentation

CSCOPE Unit Planning

CSCOPE Unit Planning. Objective. Understand how to effectively plan student-centered, engaging lessons based on the CSCOPE IFD and Unit Assessments. 3 Big Ideas. Focus on Learning Collaborative Culture Focus on Results. Big Idea #1 Focus on Learning. What do we want students to learn?.

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The IDAMS project has a long history in UNESCO

The Project. The IDAMS project has a long history in UNESCO I ts results are among the most tangible products of the Organization ; It is part of the Regular Programme of UNESCO ;

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Assessing the Economics of Crop Choices on a Start-up Market Farm

Assessing the Economics of Crop Choices on a Start-up Market Farm. January 16, 2012. Eric & Joanna Reuter Chert Hollow Farm, LLC. Brief farm overview. Chert Hollow Farm, LLC. Farm founded in 2007 Certified-organic produce since 2009. Columbia Farmers Market.

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520 views • 37 slides

Exploratory Data Analysis

Exploratory Data Analysis. Remark: covers Chapter 3 of the Tan book in Part Organization Why Exloratory Data Analysis? Summary Statistics Visualization. 1. Why Data Exploration?. A preliminary exploration of the data to better understand its characteristics.

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What You Will Learn

Databases and Information Systems. What You Will Learn. Uses of a database program Basic components of a database Capabilities of a database program Differences between flat file and relational database programs Characteristics of a computerized information system

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NEEDS ASSESSMENT ON training in MODELLING & FORECASTING FOR EAC CENTRAL BANKS

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ANTABIF

ANTABIF. SCADM - progress report. www.scarmarbin.be. www.biodiversity.aq. General philosophy. Build a network to support Antarctic science Offer free and open access to data and technology Expose all the data and metadata Remain community-driven Adopt strong standardization

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Interactive Event Detection in Video and Audio

Interactive Event Detection in Video and Audio. Rahul Sukthankar Intel Research Pittsburgh & Carnegie Mellon University. Contributors. Diamond team: L. Huston, Satya, L. Mummert, C. Helfrich, L. Fix Forensic video retrieval: J. Campbell, P. Pillai, Diamond team

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Using the Purdue DB Technology to build simple on-demand data exploration tools

Using the Purdue DB Technology to build simple on-demand data exploration tools. Michael Grobe Pervasive Technology Institute Indiana University. The general idea.

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Techniques for Visualizing Massive Data Sets

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Introduction to GIS

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Ali Sarvghad

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Graphical input techniques

Graphical input techniques . Input Techniques. An interaction technique , user interface technique or input technique is a combination of hardware and software elements that provides a way for computer users to accomplish a single task. For example , one can go back to the

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BIOMETRY at C.A.V.S

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Special Techniques

Special Techniques. Cluster Analysis. Classification or Categorization Classification is mathematical and objective while interpretation is somewhat subjective Minimize within group variation and maximize between group variation Data exploration Data structure is unknown

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Priorities for Next Steps in the ASAP Research program November 3, 2006

Priorities for Next Steps in the ASAP Research program November 3, 2006 ASAP Hotwash Meeting, Stanford Sierra Camp 1. Adaptive Sampling and Coordinated Control and Operations agree upon and formalize terms to describe different types of adaptation

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Designing Calendar Visualization for Visual Analytics Law Enforcement Toolkit

Designing Calendar Visualization for Visual Analytics Law Enforcement Toolkit Shantanu Joshi, Kushal Patel, Abish Malik, Ross Maciejewski , Timothy F. Collins, David S. Ebert Purdue University Visualization and Analytics Center. Project Summary

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An Algebraic Approach to Visual Discovery Management

Abhishek Mukherji, Professor Elke A. Rundensteiner, Professor Matthew O. Ward XMDVTool, Department of Computer Science. 9. 3. 18. 2. 14. 13. ? KC. ? DC. ?. -. U. 19. ? RQ. ? AR. ?. ?. x. 6. 12. 5. 8. 17. 11. 7. 1.

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