PPT-Design of Large Scale Log Analysis Studies

A short tutorial Susan Dumais Robin Jeffries Daniel M Russell Diane Tang Jaime Teevan HCIC Feb 2010 What can we HCI learn from logs analysis Logs are the traces of human behavior. -5 0 5 10 -8 -6 -4 -2 0 -5 0 5 -4 -3 -2 -1 0 1 2 log(k)log(v)Slope: 0 5 10x 10-3 -0.3 -0.25 -0.2 -0.15 -0.1 -0.05 0 Noise magnitudeb 0 5 10x 10-3 0 0.2 0.4 0.6 Noise magnitudeR2 0 5 10x 10-3 -0.35 -0. Simon French. simon.french@warwick.ac.uk. A few thoughts to begin with. Kate (aged 6): “You cannot have a ‘5’, can you, Dad? You have to have 5 things.”. Would you average the numbers on a few car number plates?. Large-scale Single-pass k-Means . Clustering. Large-scale . k. -Means Clustering. Goals. Cluster very large data sets. Facilitate large nearest neighbor search. Allow very large number of clusters. Achieve good quality. Jaime . Teevan. , Microsoft . Reseach. UNC 2015. David Foster Wallace. Mark Twain. Cowards die many times . before their deaths. . Annotated by Nelson Mandela. I . have discovered a truly marvelous proof . Definition. Scale up studies refers to the act of using results obtained from laboratory studies for designing a prototype and a pilot plant process; construction a pilot plant and using pilot plant data for designing and constructing a full scale plant or modifying an existing plant. Jaime . Teevan. , Microsoft . Reseach. dub 2013. David Foster Wallace. Mark Twain. Cowards die many times . before their deaths. . Annotated by Nelson Mandela. I . have discovered a truly marvelous proof . Abstract. Cloud computing economically enables customers with limited computational resources to outsource large-scale computations to the cloud. . However, how to protect customers’ confidential data involved in the computations then becomes a major security concern. In this paper, we present a secure outsourcing mechanism for solving large-scale systems of linear equations (LE) in cloud.. Variables: Model . Fit and Cost Saving Implications. Brian P Smith Maria De Yoreo. Biostatistics Director Department of Applied Mathematics UC Santa Cruz. May 22, 2013. Midwest Biostatistics Workshop; Muncie, IN. Experience . Introduction. Enrichment. Projects. About Us. IFW Donors. Outline. . I. . Experience . . 1. Drawing log cabins. 2. Look inside a Log Cabin . . 3. At Log Cabin Village. . A. Historic Interpreters. Zhao Cao*, Shimin Chen*, Feifei Li. #. , Min Wang*, X. Sean Wang. $. * HP Labs China # University of Utah $ Fudan University. Introduction. Event log processing and . analysis are important for enterprises. Scale, Scale Factor, & Scale Drawings. Objective:. 7.2.01 & 7.3.03. Essential Question:. . How can I use a scale factor to understand distances on a map or the size of a house or object?. Vocabulary:. Using Content Analysis to Investigate the Treatment of Spatial and Temporal Scale in K-8 Science Standards and Textbooks Kim A. Cheek and Lauryn A. Stark Content Analysis Systematic coding and analysis of texts or visual material LOG 211: Supportability Analysis 1- 1 Lesson 1 Introduction 1- 2 Topic 1: Overview 1- 3 Primary Instructors Name : TBD E-Mail: TBD Phone : TBD Meeting Room: TBD Name : TBD E-Mail 1. pH. What is it? . What does it mean? . How do you measure it?. Can you determine other things from pH?. 2. pH an Overview. pH is the measure of the concentration of hydrogen ions is a solution. pH is measured on a log scale..