PPT-An Unbiased Distance-based Outlier Detection Approach for H

DASFAA 2011 By Hoang Vu Nguyen Vivekanand Gopalkrishnan and Ira Assent Presented By Salman Ahmed Shaikh D1 Contents Introduction Subspace Outlier Detection Challenges Objectives of Research. Outlier Detection. Ayushi Dalmia. *. , Manish Gupta. *+. , Vasudeva Varma. *. 1. IIIT Hyderabad, India* Microsoft, India. +. Introduction. A. B. B. B. B. A. B. B. B. A. C. C. C. X. 1. . 6. Point Estimation. Example: Point Estimation. Suppose that we want to find the proportion, p, of bolts that are substandard in a large manufacturing plant. To test the bolt, you destroy the bolt so you do not want to check all of the bolts to see if they fail.. What is an outlier?. Sometimes, distributions are characterized by extreme values that differ greatly from the other observations. These extreme values are called outliers. . How do you know if a data point is an outlier?. Jonathan Kuck. 1. , . Honglei. Zhuang. 1. , . Xifeng. Yan. 2. , Hasan Cam. 3. , . Jiawei. Han. 1. 1. University of Illinois at Urbana-Champaign. 2. University of California at Santa Barbara. 3. US Army Research Lab. Detection. Carolina . Ruiz. Department of Computer Science. WPI. Slides based on . Chapter 10 of. “Introduction to Data Mining”. textbook . by Tan, Steinbach, Kumar. (all figures and some slides taken from this chapter. Gustavo Henrique Orair. Federal University of . Minas Gerais. Wagner Meira Jr.. Federal University of Minas Gerais. Presented by . Kajol. UH ID : 1358284. PURPOSE OF THE PAPER. Distance-Based . Key. 22:37. Diamond Rings. The data table contains the listed prices and weights of the diamonds in 48 rings offered for sale in The Singapore Times. The prices are in Singapore dollars, with the weights in carats. Use price as the response and weight as the explanatory variable. These rings hold relatively small diamonds, weights less than ½ carat. The Hope Diamond weights in at 45.52 carats. Its history and fame make it impossible to assign a price, and smaller stones of its quality have gone for $600,000 per carat. Let’s say 45.52 carats *$750,000/carat=$34,140,000 and call it $35 million. For the exchange rate, assume that 1 US dollar is worth about 1.6 Singapore dollars.. To get valid results, survey samples must be chosen very carefully. An unbiased sample is selected so that it accurately represents the entire population. Two ways to pick an unbiased sample are on the . Model . the relationship between two or more explanatory variables and a response variable by fitting a linear equation to observed . data.. Formally, the model for multiple linear regression, given . Kris Hauser. ECE 383 / ME 442. Fall 2015. 3D models in robotics. Design. Simulation. Robot collision detection (i.e. prediction). Proximity calculation. Map building. Object recognition. Grasp planning. Outlier Detection. Ayushi Dalmia. *. , Manish Gupta. * . , Vasudeva Varma. *. 1. IIIT Hyderabad, India* Microsoft, India. . Introduction. A. B. B. B. B. A. B. B. B. A. C. C. C. X. 1. 9. Introduction to Data Mining, . 2. nd. Edition. by. Tan. , Steinbach, Karpatne, . Kumar. With additional slides and modifications by Carolina Ruiz, WPI. 11/20/2018. Introduction to Data Mining, 2nd Edition. Jian Pei. JD.com. & Simon Fraser University. Outlier Detection: Beauty and the Beast in Data Analytics. Subjectivity. Because of . …. Finding . Only Outliers Is . Not Useful. Every outlier detection algorithm bears some “model(s)” in mind. Anomaly Detection. Instructor: Dr. Kevin Molloy. Learning Objectives From Last Class. Clustering and Unsupervised Learning. Hierarchical clustering. Partitioned-based clustering (K-Means). Density-based clustering (.