'Predictive models' presentation slideshows

Predictive models - PowerPoint PPT Presentation


Hybrid Keyword Auctions

Hybrid Keyword Auctions

Hybrid Keyword Auctions Kamesh Munagala Duke University Joint work with Ashish Goel, Stanford University Online Advertising Pricing Models CPM (Cost per thousand impressions) CPC (Cost per click) CPA (Cost per acquisition) Conversion rates:

By JasminFlorian
(347 views)

Real-time simulation of fuel economy for platooning cars and trucks

Real-time simulation of fuel economy for platooning cars and trucks

Real-time simulation of fuel economy for platooning cars and trucks. Acquire data on fuel consumption for trucks in platoon operation. Create a real-time simulation of fuel savings for display during DEMO 2003. Provide a predictive model of use to the trucking industry.

By ryanadan
(449 views)

Regulatory Review of Predictive Models

Regulatory Review of Predictive Models

Regulatory Review of Predictive Models. Mike Woods, FCAS, CSPA. Agenda. Current State of Modeling Regulation Future State of Modeling Regulation NAIC CASTF White Paper – Overview Feedback from Industry Closing Remarks. Current State of Predictive Modeling Regulation. Overview

By darrius
(142 views)

Predictive Modeling for Disability Pricing May 13, 2009

Predictive Modeling for Disability Pricing May 13, 2009

Predictive Modeling for Disability Pricing May 13, 2009. Claim Analytics Inc. Barry Senensky FSA FCIA MAAA Jonathan Polon FSA www.claimanalytics.com. Agenda. About Claim Analytics Introduction to Predictive Modeling Disability Pricing Discussion. About Us.

By ansel
(219 views)

Email Analysis for Business Process Discovery 

Email Analysis for Business Process Discovery 

Email Analysis for Business Process Discovery . Nassim LAGA 1 Marwa ELLEUCH 1,2 Walid GAALOUL 2 Oumaima ALAOUI ISMAILI 1 1 Orange Labs , France  2 Télécom SudParis , Paris Saclay university , France. Introduction. Informal methods. ?. Process, Activity and Instance Recognition.

By bijan
(244 views)

Defining Dummy Variables

Defining Dummy Variables

Defining Dummy Variables. Getting ready for Discriminant Analysis. Why dummies?. Not necessary for predictive models, but has some advantages. A subset of a variable (a certain range of values) may affect dependent differently, but variable used as a continuous one may not be significant.

By dore
(244 views)

Tropospheric Signal Delay Corrections

Tropospheric Signal Delay Corrections

Tropospheric Signal Delay Corrections. Seth I. Gutman NOAA Earth System Research Laboratory Boulder, CO 80305 USA

By thadine
(169 views)

Capabilities Apollo and SQL Server Data Mining

Capabilities Apollo and SQL Server Data Mining

Capabilities Apollo and SQL Server Data Mining. Presented by Jeff Kaplan, Principal Client Services Paul Bradley, Ph.D., Principal Data Mining Technology 312.787.7376. Agenda. Apollo Overview Data Mining 101 Project REAL Case Study SQL Server 2005 Data Mining Demo Real-life Examples.

By paul2
(98 views)

Validation of predictive regression models

Validation of predictive regression models

Validation of predictive regression models. Ewout W. Steyerberg, PhD Clinical epidemiologist Frank E. Harrell, PhD Biostatistician. Personal background. Ewout Steyerberg: Erasmus MC, Rotterdam, the Netherlands

By Patman
(273 views)

Application of Numerical Models to Development of the Frio Brine Storage Experiment

Application of Numerical Models to Development of the Frio Brine Storage Experiment

Application of Numerical Models to Development of the Frio Brine Storage Experiment . Susan D. Hovorka Bureau of Economic Geology Jackson School Of Geosciences The University of Texas at Austin Christine Doughty Lawrence Berkeley National Lab. Presentation to EPA 4/05 Houston TX.

By jacinta
(95 views)

Smart Phone-Based Sensor Mining

Smart Phone-Based Sensor Mining

Smart Phone-Based Sensor Mining. A tutorial. These slides available from http://storm.cis.fordham.edu/~gweiss/presentations.html. Gary M. Weiss Fordham University gweiss@cis.fordham.edu. What is a Smart Phone?. What is a smart phone and what does it do? What devices can it replace?

By salma
(201 views)

Smart Phone-Based Sensor Mining

Smart Phone-Based Sensor Mining

Smart Phone-Based Sensor Mining. A tutorial. These slides available from http://storm.cis.fordham.edu/~gweiss/presentations.html. Gary M. Weiss Fordham University gweiss@cis.fordham.edu. What is a Smart Phone?. What is a smart phone and what does it do? What devices can it replace?

By gitano
(158 views)

The Process of Data Mining

The Process of Data Mining

Data Mining Methodology. The Process of Data Mining. Why have a Methodology. Don’t want to learn things that aren’t true May not represent any underlying reality Spurious correlation May not be statistically significant or may be statistically significant but coincidental

By ashby
(140 views)

Business Intelligence (BI)

Business Intelligence (BI)

Business Intelligence (BI). Class presentation. What is BI ?. Transforms raw data into meaningful and useful information for business purposes. Handles large amounts of information to help identify and develop new opportunities.

By donoma
(91 views)

The Formula for Hadoop Project Success

The Formula for Hadoop Project Success

The Formula for Hadoop Project Success. Gail Ennis CEO. OMG!…The Opportunity Is Huge. Volume, Variety and Velocity all increasing rapidly. Source: IBM, Oct 2012.

By kiara
(86 views)

Bayesian Co-clustering for Dyadic Data Analysis

Bayesian Co-clustering for Dyadic Data Analysis

Bayesian Co-clustering for Dyadic Data Analysis. Arindam Banerjee banerjee@cs.umn.edu Dept of Computer Science & Engineering University of Minnesota, Twin Cities. Workshop on Algorithms for Modern Massive Datasets (MMDS 2008). Joint work with Hanhuai Shan. Introduction. Dyadic Data

By atira
(181 views)

Predicting Risk of Re-hospitalization for Congestive Heart Failure Patients

Predicting Risk of Re-hospitalization for Congestive Heart Failure Patients

Predicting Risk of Re-hospitalization for Congestive Heart Failure Patients (in collaboration with ) Jayshree Agarwal Senjuti Basu Roy, Ankur Teredesai, Si-Chi Chin, David Hazel, Kiyana , Mehrdad , (UWT)

By butch
(141 views)

Predictive Model for Red Wing Locality

Predictive Model for Red Wing Locality

Predictive Model for Red Wing Locality. Graduate Project Proposal Leanne Knott RA536, Spring 2014. Presentation. Research Question Background & Need for Study Value of Research Data Needed for Study Predictive Model Methodology Expected Deliverables Ethical Concerns. Research Question.

By dong
(175 views)

Network science (NS): hype or reality?

Network science (NS): hype or reality?

Network science (NS): hype or reality?. Chuanxiong Guo Microsoft Research Asia September 24, 2009. Definition. Science (Wikipedia) Any systematic knowledge-base or prescriptive practice that is capable of resulting in a prediction or predictable type of outcome

By tirzah
(84 views)

Data Mining

Data Mining

Data Mining. Enterprise systems infrastructure and architecture DT211 4. Note for next year Data mining in Laudon and laudon and Kopec paper gives a few more good ideas. Data Mining.

By anthea
(153 views)

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