'Data objects' presentation slideshows

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Participant Presentations

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Objectives

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Lectures on Knowledge Management

Lectures on Knowledge Management. Khurshid Ahmad Professor of Artificial Intelligence Centre for Knowledge Management March 2002. C OMPUTER-BASED K NOWLEDGE M ANAGEMENT. grapeVINE Technologies. A Knowledge Management organisation that was taken over:

1.31k views • 93 slides

The Visualization Toolkit (VTK)

The Visualization Toolkit (VTK). Overview. The Visualization Toolkit An Overview. William J. Schroeder Kitware, Inc. Agenda. VTK Technology Background The Graphics Model The Visualization Model Volume Rendering VTK Process Open Source Development Process. Agenda. VTK Technology

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Participant Presentations

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Business Process Model and Notation

Business Process Model and Notation. Presenter ? ??? 2010/11/23. Outline. Introduction Objective BPMN Scope Types of BPMN sub-model BPMN Elements BPMN Mappings to WS-BPEL. Introduction. A graphical representation for specifying business processes in a business process modeling.

1.43k views • 63 slides

Using ReportWorks

Using ReportWorks. Dori Baldwin Student Info Mgmt Coordinator Kent ISD. Agenda. Welcome & Introductions Objectives Introduction to ReportWorks Create Labels Create Student Schedules Create Cross Tab Reports Create Form Letters. Objectives .

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Authorization

Authorization. Brian Garback. Research Issues. Authentication who are you? quantification of trust levels Mobile devices what capabilities do you have? can wireless be as secure as wired? Authorization given who you are, what can you do? how do we control privileges? Federation

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What is Cluster Analysis?

What is Cluster Analysis?. Cluster: a collection of data objects Similar to one another within the same cluster Dissimilar to the objects in other clusters Cluster analysis Grouping a set of data objects into clusters Clustering is unsupervised classification : no predefined classes

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Introduction to USEPA SWMM

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Clustering: Partition Clustering

Clustering: Partition Clustering. Lecture outline. Distance/Similarity between data objects Data objects as geometric data points Clustering problems and algorithms K-means K-median K-center. Inter-cluster distances are maximized. Intra-cluster distances are minimized.

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20-771: Computer Security Lecture 1: Introduction

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Digital Forensics

Digital Forensics. Dr. Bhavani Thuraisingham The University of Texas at Dallas Lecture #8 Digital Forensics Analysis September 19, 2007. Outline. Review of Part II Digital Forensics Analysis Techniques Reconstructing past events Conclusion and Links References

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CLUSTERING

CLUSTERING. By M.GANESHKUMAR, Assistant Professor, Rajapalayam Rajus ` College Rajapalayam. What is Cluster Analysis?. Cluster: a collection of data objects Similar to one another within the same cluster Dissimilar to the objects in other clusters Cluster analysis

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CLUSTERING PROXIMITY MEASURES

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Programming with ADO.NET By Sam Nasr April 27, 2004

Programming with ADO.NET By Sam Nasr April 27, 2004. What is ADO.Net?. ADO.NET = ActiveX Data Objects A set of libraries included within the .NET Framework ADO.NET objects are contained in the System.Data namespace. ADO.Net Terminology. Data Store: an object containing data.

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PureMVC Framework

PureMVC Framework. Components of PureMVC. Model data objects proxies delegates View mediators view components Controller commands Facade . Tying together the components. create an instance of Facade which will then initialize the Model, View & Controller classes

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