data mining patterns Smart Assistant for Mining (SAM) Docket: UAH-C-12003 Technology Scientific data mining is a very powerful means for automated knowledge extraction from the ever-increasing volumes of scientific observations and model output data available. However, this type of tool has generally been difficult for domain scientists and students to fully exploit without extended learning curves. Even data mining specialists may not be familiar with the full range of components in a mining toolkit, so potentially useful mining strategies may be ignored. Researchers at UAH have developed a Smart Assistant for Mining (SAM), which integrates semantic reasoning into a traditional workflow composer. SAM provides a useful web-based environment, called talkoot, to assist researchers in creating data analysis and mining workflows for targeted earth science problems. This project will reuse an existing toolkit of data mining web services designed specifically for the analysis of NASA data in a web-based, service-oriented architecture. SAM will provide a useful tool to assist researchers in creating data analysis and mining workflows for targeted earth science problems in the climate variability and change science focus area. It also enables users to discover available data and services, assist users in composing mining workflows, and invoke them to perform the desired analysis. Applications To gather data from simulations, experiments, or observations in various scientific domains Astrophysics, to gather data during surveys of the sky Pattern recognition techniques Advantages Efficient Flexible Reliable Status State of Development: Proof of concept Licensing Status: Available for licensing Patent Status: Proprietary