In this paper, we develop a decision-theoretic frameworkfor evaluating data mining systems, which employ classification methods, in terms of their utility in decision-making. The decision-theoretic model provides an economic perspective on the value of â extracted knowledge,â in terms of its...

The increasing awareness of data mining technology, along with the attendant increase in the capturing, warehousing, and utilization of historical data to support evidence-based decision making, is leading many organizations to recognize that the effective use of data is the key element in the...

In this article, we introduce a comprehensive framework supporting a privacy-aware access control mechanism, that is, a mechanism tailored to enforce access control to data containing personally identifiable information and, as such, privacy sensitive. The key component of the framework is a...

This work is an initial exploration of the use of the decision-theoretic concept of utility to guide pattern mining. We present the use of utility functions as against thresholds and constraints as the mechanism to express user preferences and formulate several pattern mining problems that use...

Public sector planning and management problems are challenging and complex. Specifically, decision makers (DMs) responsible for environmental control, policy and management problems are faced with a vast array of alternatives from which one must be identified for implementation. In addition to...

Extracting information from text is the task of obtaining structured, machineprocessable facts from information that is mentioned in an unstructured manner.It thus allows systems to automatically aggregate information for further analysis, efficient retrieval, automatic validation, or...

In der vorliegenden Dissertation werden zwei neue Data Mining Verfahren und Metho-den zur Extraktion von qualitätsrelevantem Wissen vorgestellt und mit Anwendungen aus der Automobilbranche evaluiert. Diese neuartigen Verfahren erlauben es, in Abhän-gigkeit der zugrunde liegenden Datentypen,...

Extracting information from text is the task of obtaining structured, machine-processable facts from information that is mentioned in an unstructured manner. It thus allows systems to automatically aggregate information for further analysis, efficient retrieval, automatic validation, or...