
This paper investigates sources of crime data mining, methodologies for knowledge discovery, by pointing out which forms knowledge discovery is suitable for which methodology. Furthermore, it identifies which data sources should be used for which knowledge discovery form in crime data mining. Similarities and differences between crime data mining methodologies show that some forms of knowledge discovery are suitable for particular crime data mining methodologies. It is offered that selecting the appropriate methodology depends on whether general or specific tasks required or high volume of crime data to be prepared.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 11 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
