From Data to Actionable Knowledge and Decision
نویسندگان
چکیده
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 and retasking of sensors and munitions. To help translate information superiority to decision superiority (i.e. to rapidly arrive at better decisions than adversaries can respond to), many scientific, technical and technological challenges must be addressed. The most critical of those are information fusion and management at different levels, communication, planning and execution monitoring. The RETSINA multiagent infrastructure allows information producers and users to discover one another and establish direct links. The robust, decentralized Infosphere which results, can be stood up rapidly and ensures that information of the specified types will be delivered to the right users under the right conditions. We will present the overall approach for this research program, the role and contribution of each of the partners, the envisioned testbed, examples and research results to-date. In addition, we will discuss plans for the out-years.
منابع مشابه
Subgroup Discovery Techniques and Applications
This paper presents the advances in subgroup discovery and the ways to use subgroup discovery to generate actionable knowledge for decision support. Actionable knowledge is explicit symbolic knowledge, typically presented in the form of rules, that allow the decision maker to recognize some important relations and to perform an appropriate action, such as planning a population screening campaig...
متن کاملIntroduction to Domain Driven Data Mining
The mainstream data mining faces critical challenges and lacks of soft power in solving real-world complex problems when deployed. Following the paradigm shift from ‘data mining’ to ‘knowledge discovery’, we believe much more thorough efforts are essential for promoting the wide acceptance and employment of knowledge discovery in real-world smart decision making. To this end, we expect a new pa...
متن کاملActionable knowledge discovery and delivery
Actionable knowledge has been qualitatively and intensively studied in the social sciences. Its marriage with data mining is only a recent story. On the one hand, data mining has been booming for a while and has attracted an increasing variety of increasing applications. On the other, it is a reality that the so-called knowledge discovered from data by following the classic frameworks often can...
متن کاملMining Actionable Subspace Clusters in Sequential Data
Extraction of knowledge from data and using it for decision making is vital in various real-world problems, particularly in the financial domain. We identify several financial problems, which require the mining of actionable subspaces defined by objects and attributes over a sequence of time. These subspaces are actionable in the sense that they have the ability to suggest profitable action for...
متن کاملData Mining for Actionable Knowledge: A Survey
The data mining process consists of a series of steps ranging from data cleaning, data selection and transformation, to pattern evaluation and visualization. One of the central problems in data mining is to make the mined patterns or knowledge actionable. Here, the term actionable refers to the mined patterns suggest concrete and profitable actions to the decision-maker. That is, the user can d...
متن کاملActionable Knowledge Discovery using MSCAM
Actionable Association Rule mining (AAR) is a closed optimization problem solving process from problem definition, model design to actionable pattern discovery, and is designed to deliver apt business rules that can be integrated with business processes and technical aspects. To support such processes, we correspondingly propose, formalize and illustrate a generic AAR model design: Multisource ...
متن کامل