DATA MINING AND GENERATION FOR NPP REP IPXs

Feb 17, 2014

940 likes | 1.08k Views

Relevant Published Statement. The projected dose for comparison to the early phase PAGs is normally calculated [i.e., by RASCAL] for exposure during the first four days [96hrs] following the projected (or actual) start of a release. (cont.)EPA-400, p.5-6; RASCAL Manual v3.0.5, p.39. Publishe

Share Presentation

Embed Code

Link

yoko

Download Presentation

DATA MINING AND GENERATION FOR NPP REP IPXs

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

Regression for Data Mining

Regression for Data Mining. Mgt. 2206 – Introduction to Analytics Matthew Liberatore Thomas Coghlan. Learning Objectives. To understand the application of regression analysis in data mining Linear/nonlinear Logistic (Logit) To understand the key statistical measures of fit

2.95k views • 103 slides

Data Warehousing and Data Mining

Data Warehousing and Data Mining. Why Data Mining? — Potential Applications. Database analysis and decision support Market analysis and management target marketing, customer relation management, market basket analysis, cross selling, market segmentation. Risk analysis and management

1.07k views • 50 slides

Data Mining: Concepts and Techniques Mining Text Data

Data Mining: Concepts and Techniques Mining Text Data. Mining Text and Web Data. Text mining, natural language processing and information extraction: An Introduction Text categorization methods. <a href> Frank Rizzo </a> Bought <a hef> this home </a> from <a href> Lake

671 views • 37 slides

Big Data and Data Mining

Big Data and Data Mining. Professor Tom Fomby Director Richard B. Johnson Center for Economic Studies Department of Economics SMU May 23, 2013. Big Data: Many Observations on Many Variables . Data File. Types of Problems. Customer and Student Retention Employee Churn

542 views • 38 slides

Mining for ADE Data

Mining for ADE Data. Kim Werkmeister, RN, BA, CPHQ Cynosure Health National Improvement Advisor October 17, 2013. Why are ADE’s Such a Priority?. HAPU. Falls. ADE. Readmissions. VTE. The Goal. 40% reduction Jan 2012 – Dec 2013. “We don’t have many ADEs”. So How We Find ADEs?.

468 views • 32 slides

R for Data Analysis and Data Mining

R for Data Analysis and Data Mining. Jianping Liu Mar 19, 2014. Outline. R and RStudio installation Basics of R : data types and operators R for Statistical Analysis and Data mining. What is R?.

1k views • 17 slides

Data Mining: Concepts and Techniques Mining data streams

Data Mining: Concepts and Techniques Mining data streams. Chapter 8. Mining Stream, Time-Series, and Sequence Data. Mining data streams Mining time-series data Mining sequence patterns in transactional databases Mining sequence patterns in biological data. Mining Data Streams.

645 views • 17 slides

DATA WAREHOUSING AND DATA MINING

DATA WAREHOUSING AND DATA MINING. Mubarak Banisakher. Course Overview. The course: what and how 0. Introduction I. Data Warehousing II. Decision Support and OLAP III. Data Mining IV. Looking Ahead Demos and Labs. 0. Introduction.

667 views • 36 slides

DATA WAREHOUSING AND DATA MINING

DATA WAREHOUSING AND DATA MINING. MARK VROOMAN AND AMINAT ONI PROJECT REPORT KENNESAW STATE UNIVERSITY DEPARTMENT OF COMPUTER SCIENCE CS8630- DATABASE ADMINISTRATION.

305 views • 17 slides

Data Fusion and Data Mining

Data Fusion and Data Mining. Julia I. Couto Ph.D. James Madison University. A future battlefield scenario. distributed system of sensors for intelligence gathering, targeting and surveillance Platforms hosting operators, sensors and weapons tank gunners hosting operators, IR, video cameras

311 views • 17 slides

Dendrograms for Data Mining

Eamonn Keogh. Dendrograms for Data Mining. What is Clustering?. Also called unsupervised learning , sometimes called classification by statisticians and sorting by psychologists and segmentation by people in marketing.

524 views • 42 slides

Probability and Statistics for Data Mining

Probability and Statistics for Data Mining. COMP5318. Question 1. Question: Suppose you randomly select a credit card holder and the person has defaulted on their credit card. What is the probability that the person selected is a ‘Female’?. Probability.

329 views • 25 slides

DATA WAREHOUSING AND DATA MINING

DATA WAREHOUSING AND DATA MINING. S. Sudarshan Krithi Ramamritham IIT Bombay sudarsha@cse.iitb.ernet.in krithi@cse.iitb.ernet.in. Course Overview. The course: what and how 0. Introduction I. Data Warehousing II. Decision Support and OLAP III. Data Mining IV. Looking Ahead

1.99k views • 169 slides

DATA WAREHOUSING AND DATA MINING

DATA WAREHOUSING AND DATA MINING. Course Overview. The course: what and how 0. Introduction I. Data Warehousing II. Decision Support and OLAP III. Data Mining IV. Looking Ahead Demos and Labs. 0. Introduction.

3.1k views • 169 slides

Akkuyu NPP Power Generation JSC

Nuclear Inter Jura 2014. ROSATOM. Rosatom State N uclear C orporation. Legal aspects of the BOO model when developing new nuclear power plant and construction projects Ilya Smirnov, Deputy CEO, General Counsel Olga Kirillova, Senior Legal Counsel.

484 views • 19 slides

Data Mining: Concepts and Techniques Mining data streams

202 views • 17 slides

Data Mining for Data Streams

Data Mining for Data Streams. Mining Data Streams. What is stream data? Why Stream Data Systems? Stream data management systems: Issues and solutions Stream data cube and multidimensional OLAP analysis Stream frequent pattern analysis Stream classification Stream cluster analysis

690 views • 65 slides

Data Rep

Data Rep. CSCI130 Instructor: Dr. Imad Rahal. Overview of Computer Design. Memory is divided into locations/registers/word s Each holds a fixed amount of data Numbers, characters Each has an address used to access its contents P.O. boxes : number is address and the box is the register

439 views • 43 slides

Data Mining for Engineers

Data Mining for Engineers. Graphic Methods of Pulling Useful Diagnostic Information from Large Messy Data Sets. Slides Extracted from a Talk Given at the Vibo-Rama 2011 Meeting of the Vibration Institute March 10, 2011 Holiday Inn Express Latham, NY 12065. DATA MINING FOR ENGINEERS.

560 views • 56 slides

More Related