'Outliers' diaporamas de présentation

Manish Gupta 1 , Jing Gao 2 , Yizhou Sun 1 , Jiawei Han 1 1 UIUC 2 SUNY , Buffalo

Integrating Community Matching and Outlier Detection for Mining Evolutionary Community Outliers. Manish Gupta 1 , Jing Gao 2 , Yizhou Sun 1 , Jiawei Han 1 1 UIUC 2 SUNY , Buffalo KDD 2012 Beijing, China. Temporal Datasets are Ubiquitous. Time Series. Evolving networks.

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APSTAT PART ONE Exploring and Understanding Data

There are three kinds of lies - lies, damned lies and statistics. ~Benjamin Disraeli, commonly misattributed to Mark Twain. APSTAT PART ONE Exploring and Understanding Data. What is Statistics?. Chapters 1-3. What is Stat?. Book Says: A way of reasoning Collection of tools and methods

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Advances in Sensor Data Fusion: A Review

Advances in Sensor Data Fusion: A Review. Bahador Khaleghi Pattern Analysis and Machine Intelligence Lab. Outline. Introduction Multisensor Data Fusion Challenging Problems MDF Algorithms MDF Architectures Discussion Conclusion. Introduction.

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Measurements that Matter: Analyzing Patron Behavior

Measurements that Matter: Analyzing Patron Behavior. Presented by Joan Frye Williams Tuesday, March 4, 2014. Beyond vivid anecdotes. Your mission: Understand your community better so you can respond and prepare. Bonus: Counteract common misconceptions.

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The Connectivity and Fault-Tolerance of the Internet Topology

The Connectivity and Fault-Tolerance of the Internet Topology. Christopher R. Palmer (CMU) crpalmer@cs.cmu.edu Georgos Siganos (UC Riverside) Michalis Faloutsos (UC Riverside) Phillip B. Gibbons (Bell-Labs) Christos Faloutsos (CMU). Understanding the Internet.

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Financial Audit Readiness Symposium Discussion

Financial Audit Readiness Symposium Discussion. Mr. Joe Marshall, SES2, USN Navy Medicine Comptroller Deputy Chief for Resource Management (M8) June 2012. Ground Rules. Listen to understand Speak from the heart Suspend certainty Hold space for difference Slow down the conversation .

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Probabilistic Reasoning for Modeling Unreliable Data

Probabilistic Reasoning for Modeling Unreliable Data . Ron Tal York University. Agenda. Modeling Uncertainty Bayesian Reasoning M-Estimation Maximum Likelihood Common Pitfall More Advanced Models . Modeling Uncertainty. Why is it necessary?

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Principal component regression

Principal component regression. When simple linear model fails Ridge regression Lasso Principal component analysis Principal component regression . When parameters are highly correlated.

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http://www.york.ac.uk/depts/maths/histstat/people/

October 28 and 29. Sir Francis Galton. Karl Pearson. http://www.york.ac.uk/depts/maths/histstat/people/. Source: Raymond Fancher, Pioneers of Psychology. Norton, 1979. A correlation coefficient is a numerical expression of the degree of relationship between two continuous variables.

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Perspectives on Corporate Finance Research

Perspectives on Corporate Finance Research . Ronald Masulis Vanderbilt University FMA PhD Seminar 2007. Research Trends (1). More corporate governance research is coming! Optimal board structure Deeper understanding of CEO employment contracts and compensation

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Factors Determining Fish Catch in Indonesian Fishing Villages

Factors Determining Fish Catch in Indonesian Fishing Villages The data is a subset from a survey of saltwater fishermen in the Minahasa region of Northern Sulawesi, Indonesia (source of data: Professor Randall Kramer, Duke University) Data includes the following variables:

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The Impact of Noise Trading on the NAV Spread in REIT Pricing

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Policy Evaluation

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General good advice on data handling

General good advice on data handling. Peter Shaw. Introduction. We have spent the last 11 weeks engaged in picking up some technical details about various aspects of data handling and analysis.

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Projective geometry of 2-space

Projective geometry of 2-space. Primitives pt/line/conic HZ 2.2. Behaviour at infinity. Projective transform HZ 2.3. Hierarchy of maps Invariants HZ 2.4. DLT alg HZ 4.1. Rectification HZ 2.7. Computing a homography.

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Logical Line Fitting: One Step in the EDA Process

Logical Line Fitting: One Step in the EDA Process. by Shannon Guerrero Northern Arizona University NCTM 2008 Annual Meeting & Exposition Salt Lake City, UT April 2008. EDA (Exploratory Data Analysis). Mostly graphical approach to data analysis

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Outliers

Outliers. Small Group Discussions. Location, Location, Location. Why does where we are from and the culture we belong to determine our achievements and successes? Discuss the oddity of first of the year (Jan., Feb., Mar. ) birthdays.

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Unit 3

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Housing California California Tax Credit Update

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