[AM10-3] Knowledge discovery

Knowledge discovery involves the identification of useful patterns in spatial databases using techniques of data mining, trend analysis, etc.

Introduction

External resources

• Ester M., Kriegel HP., Sander J. (1999) Knowledge Discovery in Spatial Databases. In: Förstner W., Buhmann J.M., Faber A., Faber P. (eds) Mustererkennung 1999. Informatik aktuell. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-60243-6_1

Learning outcomes

• 13 - Explain how spatial data mining techniques can be used for knowledge discovery
  Explain how spatial data mining techniques can be used for knowledge discovery
• 14 - Explain how visual data exploration can be combined with data mining techniques as a means of discovering research hypotheses in large spatial datasets
  Explain how visual data exploration can be combined with data mining techniques as a means of discovering research hypotheses in large spatial datasets
• 15 - Explain how a Bayesian framework can incorporate expert knowledge in order to retrieve all relevant datasets given an initial user query
  Explain how a Bayesian framework can incorporate expert knowledge in order to retrieve all relevant datasets given an initial user query

Self assessment

Outgoing relations

• [AM10-3] Knowledge discovery subclassof [AM10] Data mining

Contributors

• Rob Lemmens
  University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC)
  https://research.utwente.nl/en/persons/rob-lemmens