'Attribute' diaporamas de présentation

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Scalable Classification

Scalable Classification. Robert Neugebauer David Woo. Scalable Classification. Introduction High Level Comparison SPRINT RAINFOREST BOAT Summary & Future work. Review. Classification: predicts categorical class labels

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Extended Gloss Overlaps as a Measure of Semantic Relatedness

Extended Gloss Overlaps as a Measure of Semantic Relatedness. Satanjeev Banerjee Ted Pedersen Carnegie Mellon University University of Minnesota Duluth Supported by NSF Grants: #0092784, REC-9979894. Semantic Relatedness.

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Concept Testing

Concept Testing. Concept Testing Conjoint Analysis February 15 & 20, 2007. Evaluating with Customers. Concept Testing is used to help screen and refine new product ideas Conjoint Analysis used to determine the combination of attributes that maximizes appeal. Determine Customer

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Market Segmentation: A Tool in Tourism Marketing and Evaluation

Market Segmentation: A Tool in Tourism Marketing and Evaluation. MARKET #2. MODERN. EDUCATION. MARKET #4. FACILITIES. PROGRAMMING. MARKET #1. You. MARKET #3. ENTERTAINMENT. HERITAGE. Ed Mahoney, Michigan State University, PRTR. The origins of the term market segmentation can

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Chapter 9

Chapter 9. Conflict Management / Workplace Violence. Objectives. Describe several types of conflict in the workplace Demonstrate how supervisors should handle conflict Explain how to deal with angry employees Explain how to overcome negativity in employees

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Chi-Square Analysis

Chi-Square Analysis. Basic Concepts, Section 13.2 Testing the Independence of Two Variables, Section 13.4. The Chi-Square Distribution . Let the random variable X be normally distributed with mean ? and standard deviation ?

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k-Anonymity: A Model for Protecting Privacy

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World-Leading Research with Real-World Impact!

Institute for Cyber Security. Attribute Transformation for Attribute-Based Access Control. Prosunjit Biswas, Ravi Sandhu and Ram Krishnan Department of Computer Science Department of Electrical and Computer Engineering University of Texas, San Antonio.

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ECT 358

ECT 358. Lecture 29 MicroBlaze External I/O. The train of failure usually runs on the track of laziness. By much slothfulness the building decayeth; and through idleness of the hands the house droppeth through. Ecclesiastes 10:18. MicroBlaze External I/O. Additional Inputs/Outputs

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GIS Data Types

GIS Data Types. 21/05/2010. GIS Data Types. GIS technology utilizes two basic types of data 1. Spatial Data Describes the absolute and relative location of geographic features. GIS Data Types. 2. Attribute Data/Tabular Data Describes characteristics of the spatial features.

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DATABASE DESIGN

DATABASE DESIGN. DATABASE DESIGN AS A MODELING PROCESS Models as vehicles for understanding reality DATABASE DESIGN AS AN INTUITIVE PROCESS Satisficing vs. Rationality DATABASE DESIGN AS AN ITERATIVE PROCESS Prototyping. THREE SCHEMA DATA MODEL. Data Model

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Conjoint Analysis

Conjoint Analysis. What is Conjoint Analysis?. Answer: Family of techniques that model choice by decomposing overall preference or evaluation in terms of the relative values of the components or attributes to respondents. Applications. New product design Fine-tune marketing mix

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Social Perception

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Mini-Project

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Resolving Many-to-Many Relationships

Resolving Many-to-Many Relationships. What Will I Learn?. In this lesson, you will learn to: Identify attributes which belong to many-to-many relationships Demonstrate the steps to resolve a many-to-many relationship using an intersection entity

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Creating Links

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Web-conference 20 .01.2014

Framework service contract Lot 4 Project: CDDA in conformity with INSPIRE CDDA in conformity with INSPIRE Project Step-2 References to legislation / legal acts in CDDA and INSPIRE Protected sites. Web-conference 20 .01.2014. Issue.

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Sherlock Holmes Genre Project

Sherlock Holmes Genre Project . Thomas Balcerak. What is it? The first case he is solving is about him trying to find clues to solve a death/ murder that had happened.

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Course: Government Process Re-engineering Day 2

Course: Government Process Re-engineering Day 2. Session 2: Collecting Data for Process Mapping. Agenda. Why is data required for GPR? Understand the types of data relevant to the process Learn how to identify which data to collect Understand sampling and other data collection techniques.

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