'Interesting patterns' diaporamas de présentation

A journey through some of the research projects at the Knowledge Discovery & Web Mining Lab at Univ. of Louisville

A journey through some of the research projects at the Knowledge Discovery & Web Mining Lab at Univ. of Louisville. Olfa Nasraoui Dept . of Computer Engineering & Computer Science Speed School of Engineering, University of Louisville Contact e-mail: olfa.nasraoui@louisville.edu.

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Algorithmic and Statistical Perspectives on Large-Scale Data Analysis

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Spreadsheets and the Interactive Whiteboard

Spreadsheets and the Interactive Whiteboard. in the Primary Mathematics Classroom. Junior School. Junior School Computer Room 30 Computers - IWB. It is an understatement to say that Learning is enhanced through the use of technology.

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CPS216: Advanced Database Systems Data Mining

CPS216: Advanced Database Systems Data Mining. Slides created by Jeffrey Ullman, Stanford. What is Data Mining?. Discovery of useful, possibly unexpected, patterns in data. Subsidiary issues: Data cleansing : detection of bogus data. E.g., age = 150.

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ACTION PLAN

ACTION PLAN. The CitySchool GULSHAN BOYS CAMPUS SENIOR SECTION MATHEMATICS Ashar Ali. LONG TERM GOALS. Developing critical thinking skills and grooming the slow learners to secure good grades with the help of 21 st century methods and make learning Mathematics fun .

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Advanced Microsoft SQL Server 2008 R2 StreamInsight

PDC09-SVR08. Advanced Microsoft SQL Server 2008 R2 StreamInsight. Beysim Sezgin (Architect) Roman Schindlauer (Program Manager) Microsoft Corporation. Agenda. Use Cases & Challenges Formulating Declarative Queries Windows in Time Implementing Adapters Architecture Extensibility

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Data Mining: Introduction

Data Mining: Introduction. Chapter 1. Introduction. Motivation: Why data mining? What is data mining? Data Mining: On what kind of data? Data mining functionality Are all the patterns interesting? Classification of data mining systems Major issues in data mining.

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Interactive Interaction Analysis

Interactive Interaction Analysis. Aleks Jakulin & Gregor Leban Faculty of Computer and Information Science University of Ljubljana Slovenia. Overview. Interactions : Correlation can be generalized to more than 2 attributes, to capture interactions - higher-order regularities.

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The Kitchen Sink: What consumers think about a variety of healthcare topics

The Kitchen Sink: What consumers think about a variety of healthcare topics. Presented by: Klein & Partners, Inc. 1 st Quarter, 2009. Introduction. Background and Purpose

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Pattern Finding and Pattern Discovery in Time Series

Pattern Finding and Pattern Discovery in Time Series. Tr?n Qu?c Long College of Computing, Georgia Tech. Long Q Tran College of Computing, Georgia Tech. Contents. Pattern Finding & Pattern Discovery Pattern Finding & Pattern Discovery in Time Series Hidden Markov Models (HMMs) Summary.

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The Neural Basis of Self Deception

The Neural Basis of Self Deception. Being adaptively wrong. In a vacuum, perception should evolve to be increasingly accurate Selection pressure on deception Thus, pressure to detect deception Adaptive to believe your own deception. Self-deception for self-enhancement.

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Natural Number

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Barriers for Foreign R&D in China

Barriers for Foreign R&D in China. Wenke, Ph.D Institute of Policy and Management Chinese Academy of Sciences . Outline. Introduction Research methodology and data collection Three types of barriers for foreign R&D in China Several interesting patterns Conclusion . 1.Introduction .

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Degraded Image

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Data mining in course management systems: Moodle case study and tutorial

Data mining in course management systems: Moodle case study and tutorial. Presenter: Teng-Chih Yang Professor: Ming-Puu Chen Date: 10/ 28/ 2009.

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Five Lessons in Speechwriting

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Building Enterprise Bussines Intelligence

Building Enterprise Bussines Intelligence. Hendro Subagyo , M.Eng. BI architecture and component . Data warehouse Business analytics Automated decision tools Data mining Business performance management Dashboards Visualization tools. Why Business Intelligence Systems?.

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