Essays on using Formal Concept Analysis in Information Engineering
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The document discusses using formal concept analysis (FCA) and temporal concept analysis (TCA) to analyze police and healthcare data. It describes a case study that used FCA and self-organizing maps to improve the definition and detection of domestic violence cases from police reports. It also discusses using FCA and TCA to detect human trafficking and profile potential terrorists from police data, and using process mining techniques to analyze integrated healthcare pathways.
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Essays on using Formal Concept Analysis in Information Engineering
- 1. Essays on using Formal Concept Analysis in Information Engineering Jonas Poelmans, Aspirant FWO Katholieke Universiteit Leuven Inno.com February 2011
- 4. FCA essentials: cross table kicking dad hits me stabbing cursing scratching maltreating Report 1 X X X Report 2 X X X Report 3 X X X X X Report 4 X Report 5 X X
- 9. Literature study: FCA papers
- 10. Literature study: KDD papers
- 13. Concept - Knowledge theory ( C-K theory )
- 20. Transforming K C: Initial ESOM map
- 24. Expanding C C: Identifying faulty case labelling
- 25. Expanding C C: Testing prior knowledge
- 26. Expanding C C: Omitted information
- 27. Expanding C C: Inconsistencies
- 28. Expanding C C: Niche cases
- 30. Expanding K K: FCA classification rules
- 32. FCA results: correct filed report labels
- 33. Transforming K C: Improved ESOM map
- 35. ESOM risk classification map
- 36. ESOM risk map results: label cases - Label remaining 78% of incoming cases based on area of map
- 49. Data table of a conceptual time system Time part Event part Time granule Date Expensive car Prostitution area Vacation 0 26-1-2008 X 1 21-2-2008 X X X 2 15-2-2008 X X 3 13-3-2008 X X 4 27-4-2008 X 5 1-6-2008 X 6 14-6-2008 X 7 18-6-2008 X
- 50. Profiling suspects with TCA
- 51. Network evolution analysis using TCA
- 53. The four phase model of radicalism
- 55. Indicators and terms Anti western Orthodox religion Change behavior Monkeys; pigs soennah Suddenly wearing beard Imperialists; Zionists fatwa; fatwah no respect colleague Kufar; kufir wahabist islamitic mariage Unbeliever; disbeliever Only and one islam tradional clothes takfir fundamentalist Not shaking hands women
- 59. Example of FCA Lattice
- 60. Conceptual time system for a selected subject Time part Event part Time granule Date Anti western Orthodox religion Change behavior 0 2008-01-26 X 1 2008-02-15 X X 2 2008-02-24 X X 3 2008-03-28 X X 4 2008-04-06 X X 5 2008-01-06 X 6 2008-06-14 X 7 2008-06-18 X
- 61. TCA lattice of subject A
- 62. Extracting and profiling potential jihadists
- 64. Profiling subject with TCA
- 73. What is Process Discovery about ?
- 75. What is Data Discovery about ?
- 82. Breast cancer care process (2)
- 87. FCA analysis of 12 patients (2)
- 91. Breast conserving surgery (1)
- 95. Mastectomy (1)
- 99. Process models ML LOW ML AVG ML HIGH
Editor's Notes
- Problem definition The unstructured information within police data stores, an almost unexplored area. Formal Concept Analysis (FCA): The initial theory Domestic violence, a classification case Exploring the domestic cases Results thus far Proposed PhD investigation area’s Classifications and profiles of Terrorism Youth gangs Professional criminals
- Most data processing architectures are not suited to cope with the diversity of the police information The information vary from simple traffic offences to complex murder investigations. The consequence is an focus on generic group of structured data into tables, like involved persons. A carefully estimation learns this is only 10 to 20% of the information of the event. This means 80 to 90% percent of the information stays unstructured and unused. Keeping in mind that most managing decisions are based on this 10 to 20% of the structured information, it will be clear much better managing decisions might be made if more unstructured information become structured. Next to this group of information an whole new information flow is rapidly growing: the interactive internet (web 2.0), msn and a very fast growing mountain of confiscated hard disk from suspects. It is estimated that on this moment the total amount of only the confiscated hard disk is 65 terabyte. Most of this hard disks are unexplored, can you imagine if we were able to select the relevant information from this enormous flow?
- Most data processing architectures are not suited to cope with the diversity of the police information The information vary from simple traffic offences to complex murder investigations. The consequence is an focus on generic group of structured data into tables, like involved persons. A carefully estimation learns this is only 10 to 20% of the information of the event. This means 80 to 90% percent of the information stays unstructured and unused. Keeping in mind that most managing decisions are based on this 10 to 20% of the structured information, it will be clear much better managing decisions might be made if more unstructured information become structured. Next to this group of information an whole new information flow is rapidly growing: the interactive internet (web 2.0), msn and a very fast growing mountain of confiscated hard disk from suspects. It is estimated that on this moment the total amount of only the confiscated hard disk is 65 terabyte. Most of this hard disks are unexplored, can you imagine if we were able to select the relevant information from this enormous flow?
- Most data processing architectures are not suited to cope with the diversity of the police information The information vary from simple traffic offences to complex murder investigations. The consequence is an focus on generic group of structured data into tables, like involved persons. A carefully estimation learns this is only 10 to 20% of the information of the event. This means 80 to 90% percent of the information stays unstructured and unused. Keeping in mind that most managing decisions are based on this 10 to 20% of the structured information, it will be clear much better managing decisions might be made if more unstructured information become structured. Next to this group of information an whole new information flow is rapidly growing: the interactive internet (web 2.0), msn and a very fast growing mountain of confiscated hard disk from suspects. It is estimated that on this moment the total amount of only the confiscated hard disk is 65 terabyte. Most of this hard disks are unexplored, can you imagine if we were able to select the relevant information from this enormous flow?
- Most data processing architectures are not suited to cope with the diversity of the police information The information vary from simple traffic offences to complex murder investigations. The consequence is an focus on generic group of structured data into tables, like involved persons. A carefully estimation learns this is only 10 to 20% of the information of the event. This means 80 to 90% percent of the information stays unstructured and unused. Keeping in mind that most managing decisions are based on this 10 to 20% of the structured information, it will be clear much better managing decisions might be made if more unstructured information become structured. Next to this group of information an whole new information flow is rapidly growing: the interactive internet (web 2.0), msn and a very fast growing mountain of confiscated hard disk from suspects. It is estimated that on this moment the total amount of only the confiscated hard disk is 65 terabyte. Most of this hard disks are unexplored, can you imagine if we were able to select the relevant information from this enormous flow?
- Most data processing architectures are not suited to cope with the diversity of the police information The information vary from simple traffic offences to complex murder investigations. The consequence is an focus on generic group of structured data into tables, like involved persons. A carefully estimation learns this is only 10 to 20% of the information of the event. This means 80 to 90% percent of the information stays unstructured and unused. Keeping in mind that most managing decisions are based on this 10 to 20% of the structured information, it will be clear much better managing decisions might be made if more unstructured information become structured. Next to this group of information an whole new information flow is rapidly growing: the interactive internet (web 2.0), msn and a very fast growing mountain of confiscated hard disk from suspects. It is estimated that on this moment the total amount of only the confiscated hard disk is 65 terabyte. Most of this hard disks are unexplored, can you imagine if we were able to select the relevant information from this enormous flow?
- Most data processing architectures are not suited to cope with the diversity of the police information The information vary from simple traffic offences to complex murder investigations. The consequence is an focus on generic group of structured data into tables, like involved persons. A carefully estimation learns this is only 10 to 20% of the information of the event. This means 80 to 90% percent of the information stays unstructured and unused. Keeping in mind that most managing decisions are based on this 10 to 20% of the structured information, it will be clear much better managing decisions might be made if more unstructured information become structured. Next to this group of information an whole new information flow is rapidly growing: the interactive internet (web 2.0), msn and a very fast growing mountain of confiscated hard disk from suspects. It is estimated that on this moment the total amount of only the confiscated hard disk is 65 terabyte. Most of this hard disks are unexplored, can you imagine if we were able to select the relevant information from this enormous flow?
- Most data processing architectures are not suited to cope with the diversity of the police information The information vary from simple traffic offences to complex murder investigations. The consequence is an focus on generic group of structured data into tables, like involved persons. A carefully estimation learns this is only 10 to 20% of the information of the event. This means 80 to 90% percent of the information stays unstructured and unused. Keeping in mind that most managing decisions are based on this 10 to 20% of the structured information, it will be clear much better managing decisions might be made if more unstructured information become structured. Next to this group of information an whole new information flow is rapidly growing: the interactive internet (web 2.0), msn and a very fast growing mountain of confiscated hard disk from suspects. It is estimated that on this moment the total amount of only the confiscated hard disk is 65 terabyte. Most of this hard disks are unexplored, can you imagine if we were able to select the relevant information from this enormous flow?
- Most data processing architectures are not suited to cope with the diversity of the police information The information vary from simple traffic offences to complex murder investigations. The consequence is an focus on generic group of structured data into tables, like involved persons. A carefully estimation learns this is only 10 to 20% of the information of the event. This means 80 to 90% percent of the information stays unstructured and unused. Keeping in mind that most managing decisions are based on this 10 to 20% of the structured information, it will be clear much better managing decisions might be made if more unstructured information become structured. Next to this group of information an whole new information flow is rapidly growing: the interactive internet (web 2.0), msn and a very fast growing mountain of confiscated hard disk from suspects. It is estimated that on this moment the total amount of only the confiscated hard disk is 65 terabyte. Most of this hard disks are unexplored, can you imagine if we were able to select the relevant information from this enormous flow?
- Most data processing architectures are not suited to cope with the diversity of the police information The information vary from simple traffic offences to complex murder investigations. The consequence is an focus on generic group of structured data into tables, like involved persons. A carefully estimation learns this is only 10 to 20% of the information of the event. This means 80 to 90% percent of the information stays unstructured and unused. Keeping in mind that most managing decisions are based on this 10 to 20% of the structured information, it will be clear much better managing decisions might be made if more unstructured information become structured. Next to this group of information an whole new information flow is rapidly growing: the interactive internet (web 2.0), msn and a very fast growing mountain of confiscated hard disk from suspects. It is estimated that on this moment the total amount of only the confiscated hard disk is 65 terabyte. Most of this hard disks are unexplored, can you imagine if we were able to select the relevant information from this enormous flow?