'Structured data' presentation slideshows

Keyword Search on Structured and Semi-Structured Data

Keyword Search on Structured and Semi-Structured Data. Yi Chen Wei Wang Ziyang Liu Xuemin Lin. Arizona State University, USA. University of New South Wales & NICTA, Australia. Traditional Data Access Methods. Databases / XML data Structured, with rich meta-data

1.64k views • 136 slides

SPARQL1.1: An introduction

SPARQL1.1: An introduction. @ AxelPolleres Digital Enterprise Research Institute, National University of Ireland, Galway. These slides are provided under creative commons Attribution- NonCommercial-ShareAlike 3.0 Unported License!. What is SPARQL?. Query Language for RDF

1.08k views • 92 slides

Empirical Modeling

823 views • 58 slides

LabVIEW Object Oriented Programming (LVOOP)

LabVIEW Object Oriented Programming (LVOOP). Introduction of the HGF Base Class Library ( H elmholtz, G SI, F AIR) NI Big Physics Round Table February 2nd 2009 Holger Brand. Introduction to LVOOP What is LabVIEW? Why Object Oriented Programming? Why should use LVOOP?

2.47k views • 51 slides

Introduction to the Semantic Web and Linked Data

Library of Congress BIBFRAME Pilot Training for Catalogers. Introduction to the Semantic Web and Linked Data. Module 1 - Part 1 The Semantic Web and Linked Data Concepts: A basic overview. Overview. Context Goals of the presentation Learning objectives Outline of the content.

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GS1 Mobile Com Intro & Update

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539 views • 37 slides

549 views • 32 slides

Introduction to EPICS V4 Design, Features and Status

Introduction to EPICS V4 Design, Features and Status. Ralph Lange , Spring 2017 EPICS Collaboration Meeting. Supporting the next generation of scientific control systems. Preface: What V4 is not. V4 is not a replacement for V3 V4 does not introduce a new IOC database

646 views • 30 slides

Text Mining Chapter 20

920 views • 25 slides

Text Mining Concepts

Text Mining Concepts. 85-90 percent of all corporate data is in some kind of unstructured form (e.g., text) Unstructured corporate data is doubling in size every 18 months Tapping into these information sources is not an option, but a need to stay competitive Answer: text mining

1.04k views • 25 slides

How to Manage Unstructured SQL Server Data

518 views • 24 slides

Medicare & Medicaid EHR Incentives NPRM

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Component 11 Configuring EHRs

Component 11 Configuring EHRs. Unit 8 Data Infrastructure Lecture 1. Data Architecture Defined. Two definitions will help us to define the meaning of the components making up the overall architecture that encompasses an electronic health record.

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The Report

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Introduction to Distributed Storage Systems

Introduction to Distributed Storage Systems . Harry Xu CS 239, Fall 2019. Problems and Challenges. Extremely large amounts of data are available these days FB Social: 721M vertices, 68.7B edges in May 2011 Google Maps: 20 petabytes of data Where to put them Single machine? Servers?

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Datawatch and Laserfiche Partner to Enable World Class ECM A

Document imaging is a technology used in business for systems which can replicate documents. It may take various forms such as microfilm, on demand printers, facsimile machines, copiers, multifunction devices, scanners and archive writers.

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JSR 73: Data Mining API

JSR 73: Data Mining API. ??? B90902008 ???. Introduction. In JDM, data mining [Mitchell1997, BL1997] includes the functional areas of classification, regression, attribute importance1, clustering, and association.

346 views • 4 slides

What we mean by Big Data and Advanced Analytics

What we mean by Big Data and Advanced Analytics. Small data. Mostly structured data in existing relational databases of standard business applications (e.g., SAP, Oracle). Big data. Massive and multi-dimensional data Dispersed data sources (internal and external)

979 views • 4 slides

Mining Structured vs. Unstructured Data Where is the structure and where did the semantics go?

Mining Structured vs. Unstructured Data Where is the structure and where did the semantics go?. Rahim Yaseen SAP Labs LLC. Why Mining works for structured data. For relational data There is no separation of the semantic data model and the logical storage model

302 views • 4 slides