Applying Case-Based Reasoning to Spatial- temporal Analysis of Residential Burglary Crime Investigation: A Cloud Service Prototype
Sheng-Ming Wang · 2011
A lot of researches have been done by applying the features of modus operandi, the influence factors of victims, crime prevention measures, and geographic profile of consecutive crime for the investigation of the residential burglary crime. The main objective of this research is to develop a decision support system by applying case-based reasoning (CBR) method for residential burglary investigation using the spatial and temporal evidences of crime case. A cloud service prototype is proposed for developing future collaboration mechanism between organizations. The Spatial and Temporal Evidences of Burglary Crime and CSI Spatial Distribution of Burglary Cases Temporal Distribution of Burglary Cases Habitual Thieves: Re-appear in certain Places, Periods, Time, and Pattern Modus Operandi: Skill, Preference, Habits Criminal Profiling: Evidences from Personality, Features, Field Response The Limitations of Rules in CSI The success of rule-based expert systems is due to several factors: They can mimic some human problem-solving strategies Rules are a part of everyday life, so people can relate to them However, a significant limitation is the knowledge elicitation bottleneck Experts may be unable to articulate their expertise Heuristic knowledge is particularly difficult Experts may be too busy... Another Way of CSI from Past Experiences By referring how we solved similar burglary cases in the past. This is Case Based Reasoning (CBR) memory-based problem-solving re-using past experiences Experts often find it easier to relate stories about past cases than to formulate rules The main assumption is that: Similar burglary cases have similar patterns and evidences