Below is a sampling of  ADMi white papers and publications. 
 White Papers
 An Introduction to Data Mining

A one page introduction to the data mining process.


Real-Time Data Mining for Complex Process

An introduction to real-time data mining’s most important concepts and methods. They have been tested and refined over many years on projects in domains such as manufacturing, natural systems, environmental regulation, and oil and gas production.

 

Data Mining Surface Water Systems

 

Data Mining an Expansive Groundwater System

 

Disinfection By-Products

 

ADMi Data Mining In Oil and Gas

Optimizing Injector Performance 

 

 Data Mining Published Papers

Hydrologic Modeling Using Multivariate State Space Reconstruction, Roehl, Edwin A., Jr..;  Conrads, Paul A

http://sc.water.usgs.gov/publications/pdfs/HIC2006_MVSSR.pdf

 
 Surface Water Published Papers

Features of Advanced Decision Support Systems for Environmental Studies, Management, and Regulation , Edwin A. Roehl, Jr.,  Paul Conrads, Ruby C. Daamen

http://sc.water.usgs.gov/publications/pdfs/HIC2006_DSS.pdf

 

Transforming Large Databases into Critical Knowledge Using Data Mining – Three Case Studies in South Carolina and Georgia, Paul Conrads, Edwin A. Roehl, Jr.

http://sc.water.usgs.gov/publications/pdfs/WEFTEC06_3CaseStudies.pdf

 

Development of an Empirical Model of a Complex, Tidally Affected River Using Artificial Neural Networks,  Paul Conrads, Edwin A. Roehl, Jr., William B. Martello

http://sc.water.usgs.gov/publications/abstracts/TMDL0301a1-Abstract.html

 

Integration of Data Mining Techniques with Mechanistic Models to Determine the Impacts of Non-Point Source Loading on Dissolved Oxygen in Tidal Waters, Paul Conrads, Edwin A. Roehl, Jr.

http://www.sc-ec.org/PDFs/2005SCEC/18-4%20Using%20Data%20Mining%20Techniques.pdf

 

Estimating Water Temperatures In Small Streams in Western Oregon Using Neural Network Models, Risley, John C.; Roehl, Edwin A., Jr.; Conrads, Paul A.

http://pubs.er.usgs.gov/usgspubs/wri/wri024218

An Artificial Neural Network-Based Decision Support System to Evaluate Hydropower Releases on Salinity Intrusion, Conrads, Paul A.; Roehl, Edwin A., Jr

http://sc.water.usgs.gov/publications/pdfs/HIC2006_PeeDee.pdf

Estimating Water Depths Using Artificial Neural Networks, Conrads, Paul A.; Roehl, Edwin A., Jr.

http://sc.water.usgs.gov/publications/pdfs/HIC2006_EDEN.pdf

 

Integrating 3D Hydrodynamic Transport and Ecological Plant Models of the Savannah River Estuary Using Artificial Neural Network Models, Ruby C. Daamen; Edwin A. Roehl, Jr.; Paul A. Conrads; Wiley M. Kitchens

http://sc.water.usgs.gov/publications/pdfs/HIC2006_M2M.pdf

Using Artificial Neural Network Models To IntegrateE Hydrologic And Ecological Studies of the Snail Kite in the Everglades, USA, Conrads, Paul A.; Roehl, Edwin A., Jr.; Ruby C. Daamen; Wiley M. Kitchens

http://sc.water.usgs.gov/publications/pdfs/HIC2006_SnailKite.pdf

Numerically Optimized Empirical Modeling of Highly Dynamic, Spatially Expansive, and Behaviorally Heterogeneous Hydrologic Systems with Examples Edwin Roehl, John Risley, Jana Stewart, Matthew Mitro

http://www.iemss.org/iemss2006/papers/s9/136_Roehl_1.pdf

 Water and Waste Water Published Papers

Forecasting Water User Demand at Beaufort-Jasper Water and Sewer Authority, Roehl, Edwin A., Jr.; Murray, Terry

http://www.sc-ec.org/PDFs/2005SCEC/09-3%20ForecastingWaterUserDemandAtBJWSA.pdf

 

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