In this paper, we develop a decision-theoretic frameworkfor evaluating data mining systems, which employ classification … thatarise from this point of view. The relation between the quality of a data mining system and the amount of investment that … the decision maker is willing to make is formalized. We propose two ways by which independent data mining systems can be …

The increasing awareness of data mining technology, along with the attendant increase in the capturing, warehousing …. The concept of data mining is gaining acceptance in business as a means of seeking higher profits and lower costs. To … deploy data mining projects successfully, organizations need to know the key factors for successful data mining. Implementing …

This work is an initial exploration of the use of the decision-theoretic concept of utility to guide pattern mining. We … formulate several pattern mining problems that use utility functions. Utility guided pattern mining provides the twin benefits … utility guided pattern mining problem. It addresses the drawbacks of threshold guided pattern mining, the specification of …

Extracting the principles associated with complexity theory and swarm intelligence has offered practical solutions for … routing and scheduling. Reality mining and its link with social networking relationships may yield pragmatic ideas applicable … considerable challenge. In one approach, some may react only to exceptions. A low-level data mining layer may abstract data into …

In der vorliegenden Dissertation werden zwei neue Data Mining Verfahren und Metho-den zur Extraktion von …