We propose a generic framework that uses utility in decision making to drive the data mining process. We use concepts from meta-learning and build on earlier work by Elovici and Braha, that uses decision theory for formulating an utility measure, to specialize the framework for classification tasks. We show empirical validation of the approach on a simple test domain.

Successfully supporting managerial decision-making is critically dependent upon the availability of integrated, high quality information organized and presented in a timely and easily understood manner. Data warehouses have emerged to meet this need. They serve as an integrated repository for internal and external data—intelligence critical to understanding and evaluating the business within it...

Many organizations realize the value of efficiently managing data warehouses as a way to turn their information into a competitive advantage and convert insights into assets that drive their growth objectives. However, many companies are simultaneously grappling with silo structures and disparate tools and technologies amid rising demand from business users for information to be delivered in fo...

Executive education in IS is under the scrutiny of many institution for the potential to bring in financial revenues. However teaching executives can be a very challenging task because of their previous experiences, variation in their previous education, and multiplicity of motivations for pursuing a continuous education. The panel aims at sharing successful experiences and highlighting challen...

Decision guidance systems are a class of decision support systems that are geared toward producing actionable recommendations, typically based on formal analytical models and techniques. This paper proposes the Decision Guidance Analytics Language (DGAL) for easy iterative development of decision guidance systems. DGAL allows the creation of modular, reusable and composable models that are stor...

This paper seeks to understand the dynamics of information systems implementation within firms and more specifically focuses on the case of Enterprise Resource Planning (ERP). This contribution applies a simple differential equation based model to a real firm and successfully fits the model to the observed data. The model is able to predict the implementation time under various conditions. In a...

United States electric utility industry is moving toward a new power grid that will accommodate bi-directional energy flow and the incorporation of Distributed Energy Resources (DERs). Currently, utility companies lack tools to identify locations on the electric grid that can sustain DERs’ adoption. This research explores the use of Geographic Information Systems (GIS), a class of tools for dev...

Wide-area persistent surveillance promises to revolutionize domestic situational awareness by providing real-time visual imagery of events, individual actors, and groups of interest to the national homeland security mission. However, fully realizing the potential of this technology requires computational tools capable of extracting actionable information from many highly dense data streams. At ...