'Predictive models' presentation slideshows

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?

1.39k views • 117 slides

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?

1.36k views • 117 slides

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:

770 views • 38 slides

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.

474 views • 37 slides

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)

473 views • 33 slides

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.

432 views • 32 slides

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

500 views • 30 slides

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

620 views • 29 slides

The Formula for Hadoop Project Success

371 views • 28 slides

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.

518 views • 27 slides

Population Health Management

To lower health costs, physician networks and medical homes must employ a closed loop population management program that focus on patient SOH stratification, chronic disease management, care coordination and incentive management. This approach will enable them to consistently reduce ER and inpatient admissions, which are the greatest expenditures in health care today.

476 views • 25 slides

515 views • 23 slides

Tropospheric Signal Delay Corrections

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

402 views • 23 slides

Regulatory Review of Predictive Models

382 views • 22 slides

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.

372 views • 19 slides

The Process of Data Mining

325 views • 17 slides

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

198 views • 11 slides

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.

570 views • 10 slides

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.

335 views • 7 slides

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.

173 views • 7 slides