DMINE

Data Dashboards

Dashboards are analytic web applications that use data mining and machine learning techniques to explore a topic area (i.e. agriculture, health, infrastructure)

Data Portal

Our DMINE Data Portal uses Apache SOLR to organize data and repositories that are used for our modeling and dashboard analyses

API and Libraries

We expose our models as JSON-accessible web service APIs, as well as via R packages

Institutions supporting this research

DMINE is developed as part of collaboration with scientists @ the University of Idaho and Oregon State University. DMINE is funded thru the National Oceanic and Atmospheric Association (NOAA), under NOAA grant # NA15OAR4310145

University of Idaho

National Oceanic and Atmospheric Association

Oregon State University

Data Mining Focus Areas

Agriculture

Crop Commodity Analysis

Our agricultural analysis approach explores crop insurance claim data (loss and claim frequency), in comparison to bioclimatic variables, over a broad set of commodities and damage causes. The USDA’s agricultural commodity loss archive (1980-present) is used as a key data source.

GeoHealth

Climate and chronic conditions

There is a known relationship between changing climate conditions and human health. Our work in this area uses known climatological variables, in concert with other associated feature variables, to construct a climate health predictive model.

Infrastructure

Assessing infrastructure resilience

Physical infrastructure is a huge expenditure in many aspects of society. Given these costs, impacts given climate change can have far reaching effects. Our work proposes to predict infrastructure resilience under changing climate regimes.

Open Source Data Mining and Machine Learning Systems

Explore step-by-step machine learning related to agriculture, health, and infrastructure