'Data characteristics' presentation slideshows

Presentation # 506

850 views • 71 slides

881 views • 52 slides

A Crash Course in Secondary Data Sources for Berkeley Researchers

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Introduction to Database Concepts

Introduction to Database Concepts. Levels of System Development. Analysis - describes the problem domain: use cases, classes, object, relationships and interactions that model the Real World entities. (Business Objects) Free from technical or implementations details

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Standards and Practices

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The Use of Interactive Data Views in Corporate Financial Reporting

The Use of Interactive Data Views in Corporate Financial Reporting. Diane J. Janvrin ISU Accounting Finance Research Workshop May 4, 2009

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Seishi Ninomiya, Matthew Laurenson and Masayuki Hirafuji National Agricultural Research Center

A working world-compatible grid framework for ubiquitous agricultural and natural resource applications. Seishi Ninomiya, Matthew Laurenson and Masayuki Hirafuji National Agricultural Research Center Tsukuba, Japan. How to make Ag and NR applications that can run anywhere in the world?.

399 views • 32 slides

Modeling the Evolution of Neurophysiological Signals

Modeling the Evolution of Neurophysiological Signals. Mark Fiecas Hernando Ombao. Data Characteristics. Small signal-to-noise ratios. Data Characteristics. Nonstationary time series data. Data Characteristics. Evolving over time within a replicate

414 views • 31 slides

Stratospheric Water Vapor

Stratospheric Water Vapor. James Jung Contributions From: Fanglin Yang, Shrinivas Moorthi , Yu-Tai Hou Paul Van Delst , David Groff, Andrew Collard, Daryl Kleist. Outline. Background Estimates/Results from research projects HALOE SAGE II Estimates from IR radiance assimilation

535 views • 27 slides

Data Warehouse

Data Warehouse. Definition. Data Warehouse: A Subject-oriented (eg customers, patients) integrated (consistent names, formats..) time-variant (time dimension so may be used for historical records) non-volatile (refreshed from live system, cannot be updated by end-users)

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Disclaimer

CAS Fair Value Project Casualty Actuaries in Europe Spring Meeting 23 April 2004 E. Daniel Thomas (1) 646-471-5746 edward.d.thomas@us.pwc.com. Disclaimer. The opinions expressed should not be regarded as representing the views of the CAS or of PricewaterhouseCoopers LLP. Presentation Outline.

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Weather Radar the WSR-88D

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Mapping Maintenance for Data Integration Systems

Mapping Maintenance for Data Integration Systems. Robert McCann University of Illinois Joint work with Bedoor AlShebli, Quoc Le, Hoa Nguyen, Long Vu, & AnHai Doan VLDB 2005. wrapper. homeseekers.com. Data Integration Systems. Find homes under $300K.

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Trucking and the U.S./Canadian Border: Measurements of Border Crossing Efficiency

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ASTM E53 Committee on Property Management Systems - Information Update

ASTM E53 Committee on Property Management Systems - Information Update. By: Bill Franklin Vice Chair, ASTM E-53 Committee. Leaders in Asset Management. ASTM E53- Update. ASTM E-53 Committee Officers and ASTM Staff Support

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Dimensionality Reduction Mappings

Dimensionality Reduction Mappings. Presenter : Wei- Hao Huang Authors : Kerstin Bunte , Michael Biehl , Barbara Hammer CIDM, 2011. Outlines. Motivation Objectives Methodology Experiments Conclusions Comments. Motivation.

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Showcase Value, not Technology

Showcase Value, not Technology. When Going After Critical Datasets - Fred Baltrusis (IndyGIS). The Plan. Obtain legals for all Taxing and TIF districts Digitize any changes to existing data Spread the word Perform analysis for various departments Incorporate into existing and new tools.

229 views • 13 slides

Showcase Value, not Technology

Showcase Value, not Technology. When Going After Critical Datasets - Fred Baltrusis (IndyGIS). The Plan. Obtain legals for all Taxing and TIF districts Digitize any changes to existing data Spread the word Perform analysis for various departments Incorporate into existing and new tools.

210 views • 13 slides

Tsunami Forecaster Training

Tsunami Forecaster Training. Sumatra Tsunami. Sea level instrumentation. A broad but sound understanding of the instrumentation used to identify sea level changes. Tides and sea level analysis.

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DATA MANAGEMENT: ATTRIBUTE COMPONENT

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