PPT-Design and Analysis of Large Scale Log Studies

A CHI 2011 course v11 Susan Dumais Robin Jeffries Daniel M Russell Diane Tang Jaime Teevan CHI Tutorial May 2011 1 Introduction Daniel M Russell Google 2 What Can We HCI Learn from Log Analysis . By. Chi . Bemieh. . Fule. August 6, 2013. THESIS PRESENTATION . Outline. . of. . today’s. presentation. Justification of the study. Problem . statement. Hypotheses. Conceptual. . framework. Research . -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. Raw Scale Raw Scale Raw Scale Raw Scale Score Score Score Score Score Score Score Score 86 100 64 80 42 66 20 42 85 98 63 79 41 66 19 41 84 97 62 79 40 65 18 39 83 95 61 78 39 64 17 38 82 94 60 77 38 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.. Martin . Buil. M1 Eco . Countryhouse. Analysis. Concept. Vision. Design. Analysis. Analysis. Site. Analysis. Site (global). Site confined by forest. Analysis. Site (global. ). Site confined by forest. 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. (log(. t), log. (. x)). U. se to show . scaling. .. U. nits???. Matlab: loglog(t, x). U. se to show large scales.. Slope. ???. Log-Log Plots. Matlab: semilogy(t, x) - . U. se to show large scales.. Journal Articles, technical reports, and patents. Jaime . Teevan. , Microsoft . Reseach. JITP 2011. David Foster Wallace. Mark Twain. Cowards die many times . before their deaths. . Annotated by Nelson Mandela. I . have discovered a truly marvelous proof . 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. 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 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..