GrandBase: generating actionable knowledge from Big Data

Tools for Extracting Actionable Medical Knowledge from Genomic Big Data

From Data to Actionable Knowledge: Big Data Challenges in the Web of Things

to multimedia content (images, video, and audio) on a variety of platforms (enterprise, social media, and sensors). One of the fastestgrowing types of data relates to physical observations, measurements, and occurrences in the real world. The growth of physical world data collection and communication is supported by low-cost sensor devices, such as wireless sensor nodes that can be deployed in ...

From Data to Actionable Knowledge and Decision

The Advanced Agent Technology Laboratory in the School of Computer Science at Carnegie Mellon University, the Human Computer Interaction Group at the University of Pittsburgh, the Munitions Directorate of Air Force Research Laboratory (MN/AFRL), Rome Labs and Northrup Grumman are partnering in early-stage research to address issues in high-level information fusion, including intent inferencing ...

From Data to Actionable Knowledge: A Collaborative Effort with Educators

Teachers, school administrators, and researchers at Xerox have started a collaborative effort to leverage educational data from schools to target the individual needs of students in the classroom. In this paper, we report on our observations of using a data driven methodology to individualize education. First, we discuss the common types of data that schools now collect and the different types ...

Big Data Quality: From Content to Context

Over the last 20 years, and particularly with the advent of Big Data and analytics, the research area around Data and Information Quality (DIQ) is still a fast growing research area. There are many views and streams in DIQ research, generally aiming at improving the effectiveness of decision making in organizations. Although there are a lot of researches aimed at clarifying the role of BIG data...