'Outlier analysis' diaporamas de présentation

An Introduction to Statistics and Research Design

An Introduction to Statistics and Research Design. Chapter 1. Two Branches of Statistics. Descriptive statistics Organize, summarize, and communicate numerical information Inferential statistics Use samples to draw conclusions about a population. Samples and Populations.

581 views • 28 slides

Clustering

Clustering. CS 685: Special Topics in Data Mining Spring 2008 Jinze Liu. Outline. What is clustering Partitioning methods Hierarchical methods Density-based methods Grid-based methods Model-based clustering methods Outlier analysis . Step 0. Step 1. Step 2. Step 3. Step 4.

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273 views • 17 slides

Describing and Exploring Data

Describing and Exploring Data. Initial Data Analysis. Overview. Describing and Exploring data Initial Data Analysis Characteristics (Some) Steps involved Methods Statistics Central Tendency Variability Relationships Issues. Describing and Exploring Data.

336 views • 13 slides

Data Mining : Outlier Analysis By Dr. SK Altaf Hussain Basha Professor, GRIET, Hyderabad

Data Mining : Outlier Analysis By Dr. SK Altaf Hussain Basha Professor, GRIET, Hyderabad Mr. K Sandeep Asst. Professor, GRIET, Hyderabad. Data Mining : Outlier Analysis. Definition of Outlier Applications of Outlier Analysis Examples Types of Outliers Outlier Discovery : Approaches.

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Outlier Analysis

Outlier Analysis. What Is Outlier Discovery?. What are outliers? The set of objects are considerably dissimilar from the remainder of the data Example: Sports: Michael Jordon, Wayne Gretzky, ... Problem Find top n outlier points Applications: Credit card fraud detection

521 views • 6 slides