By Colleen McCue (Auth.)
, Pages xiii-xiv
, Pages xv-xxiii
, Pages xxv-xxxi
1 - Basics
, Pages 3-18
2 - area Expertise
, Pages 19-24
3 - information Mining
, Pages 25-41
4 - strategy versions for facts Mining and Analysis
, Pages 45-66
5 - Data
, Pages 67-92
6 - Operationally correct Preprocessing
, Pages 93-115
7 - Predictive Analytics
, Pages 117-141
8 - Public Safety-Specific Evaluation
, Pages 143-163
9 - Operationally Actionable Output
, Pages 165-174
10 - general Crime
, Pages 177-185
11 - Behavioral research of Violent Crime
, Pages 187-213
12 - danger and hazard Assessment
, Pages 215-235
13 - Deployment
, Pages 239-265
14 - Surveillance Detection
, Pages 267-298
15 - complex Topics
, Pages 301-313
16 - destiny Trends
, Pages 315-321
, Pages 323-332
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Extra info for Data Mining and Predictive Analysis. Intelligence Gathering and Crime Analysis
2 In other words, data mining involves the systematic analysis of large data sets using automated methods. By probing data in this manner, it is possible to prove or disprove existing hypotheses or ideas regarding data or information, while discovering new or previously unknown information. In particular, unique or valuable relationships between and within the data can be identified and used proactively to categorize or anticipate additional data. Through the use of exploratory graphics in combination with advanced statistics, machine learning tools, and artificial intelligence, critical “nuggets” of information can be mined from large repositories of data.
A revised model that integrates analysis and operations into a seamless, self-perpetuating cycle is outlined in Figure 2-2. By working together, the information comes to the analyst within an operational context. The analyst has some indication regarding where the information came from, its reliability, and its validity, as well as what type of analytical product would be most desirable. The information is then processed and analyzed in a much more meaningful way than if the analyst had been working in an informational void.
2002). Using case-based reasoning and cognitive apprenticeship to teach criminal profiling and Internet crime investigation. Knowledge Solutions. ”2 In other words, data mining involves the systematic analysis of large data sets using automated methods. By probing data in this manner, it is possible to prove or disprove existing hypotheses or ideas regarding data or information, while discovering new or previously unknown information. In particular, unique or valuable relationships between and within the data can be identified and used proactively to categorize or anticipate additional data.
Data Mining and Predictive Analysis. Intelligence Gathering and Crime Analysis by Colleen McCue (Auth.)