'Outlier' diaporamas de présentation

C280, Computer Vision

1.25k views • 112 slides

Dung- Tsa Chen, PhD Biostatistics and Bioinformatics Department Moffitt Cancer Center

767 views • 73 slides

Private Outlier Detection and Content based Encrypted Search

750 views • 60 slides

COMP 5331: Knowledge Discovery and Data Mining

COMP 5331: Knowledge Discovery and Data Mining. Acknowledgement: Slides modified by Dr. Lei Chen based on the slides provided by Pang-Ning Tan, Michael Steinbach,Vipin Kumar, Jiawei Han, Micheline Kamber, and Jian Pei. 1. Chapter 12. Outlier Analysis. Outlier and Outlier Analysis

615 views • 47 slides

646 views • 43 slides

Correlation & Regression

644 views • 43 slides

Jeopardy

Jeopardy. Stem-and- Leaf Plot 2. Frequency Table1. Frequency Table 2. Stem-and- Leaf Plot 1. Q $100. Q $100. Q $100. Q $100. Q $200. Q $200. Q $200. Q $200. Q $300. Q $300. Q $300. Q $300. Q $400. Q $400. Q $400. Q $400. Q $500. Q $500. Q $500. Q $500.

507 views • 43 slides

Multivariate Detection of Aberrant Billing: An Evaluation

Multivariate Detection of Aberrant Billing: An Evaluation. Maharaj Singh, Ted Wallace & Martin Schrager National Government Services, Inc. Outline of the study. Outlier defined Multivariate method for detecting Outlier Detecting outlier billing providers An evaluation of the methodology

572 views • 42 slides

Dual CUSUM Control Schemes for Detecting a Range of Mean Shifts

509 views • 39 slides

194 views • 19 slides

Transparency 6

240 views • 19 slides

275 views • 17 slides

Transformations & Data Cleaning

Transformations & Data Cleaning. Linear & non-linear transformations 2-kinds of Z-scores Identifying Outliers & Influential Cases Univariate Outlier Analyses -- trimming vs. Winsorizing Outlier Analyses for r & ANOVA. Transformations Linear Transformations

348 views • 16 slides

Training New Employees

Answers Included!. Questions 8 & 10. Training New Employees. Relax! We already d id all the work for you. 1 st and only edition. Presenter Name Presentation Date. Mitchell P2 8-5 Modelling With Combined Functions. Question 8. . Analyzing the Question. .

301 views • 16 slides

301 views • 16 slides

Mean, Median, Mode

497 views • 14 slides

Transportation planning: A rural perspective

187 views • 9 slides

SEASONAL ADJUSTMENT

SEASONAL ADJUSTMENT. BEA Advisory Committee May 11, 2012. What do users want?. Data series that represent the concept they are said to measure to be as accurate as possible. In the US, they usually want a seasonally adjusted series

211 views • 8 slides

An Example of Pruning Technique for Outlier Detection

An Example of Pruning Technique for Outlier Detection. 2. 1. 1. Example. Using the distance based method where knn=1, the left-most point is outlier Using pruning: What is the best case? What is the worst case?. Outliers has first ordering. 2. 1. 1. 1. 2. 3. 4.

147 views • 5 slides

Forbidden Words in AP Stats

131 views • 1 slides