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Knowledge Discovery and Data Mining

In: Integration of Information and Optimization Models for Routing in City Logistics

Author

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  • Jan Fabian Ehmke

    (University of Braunschweig)

Abstract

Nowadays, it is possible to collect detailed data about the current state and the operations of systems such as transportation systems. Due to technological advancements, we may collect and store enormous amounts of operational data at low costs. These data are usually not properly exploited, because the derivation of relevant information for the improvement of planning systems is challenging. However, planning systems rely on such information describing the typical behavior of a system, which can be derived from aggregates of operational data. Based on typical system behavior, future operations can be planned.

Suggested Citation

  • Jan Fabian Ehmke, 2012. "Knowledge Discovery and Data Mining," International Series in Operations Research & Management Science, in: Integration of Information and Optimization Models for Routing in City Logistics, edition 127, chapter 0, pages 37-57, Springer.
    • Handle: RePEc:spr:isochp:978-1-4614-3628-7_4
    DOI: 10.1007/978-1-4614-3628-7_4
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