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Business Information Systems (BIS) Lecturer: Mr. Ronald K. Shiflet Student: Yang Yi.

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Presentation on theme: "Business Information Systems (BIS) Lecturer: Mr. Ronald K. Shiflet Student: Yang Yi."— Presentation transcript:

1 Business Information Systems (BIS) Lecturer: Mr. Ronald K. Shiflet Student: Yang Yi

2 Introduction The Singapore Police have hired me to create database of characteristics to be used a evidence when matching ex-convicts to crimes. LOW CRIME DOESN’T MEAN NO CRIME

3 What it is from crime scene to convict Crime Scene Crime Scene Investigation Forensic Science ConvictConvict Collect, tag, log, pack evidences and take photographs Test, examine Analyze, Filtrate, Judge, Deduce Analyze, Filtrate, Judge, Deduce Zoom in

4 8 Characteristics Race e.g. Chinese, Indian, Malay Race e.g. Chinese, Indian, Malay Gender e.g. M or F Gender e.g. M or F Height e.g. 168cm Height e.g. 168cm Weight e.g. 52kg Weight e.g. 52kg Blood Type e.g. A, B, AB or O Blood Type e.g. A, B, AB or O IC No. e.g. S1527732E IC No. e.g. S1527732E Fingerprin t e.g. Fingerprin t e.g. Address e.g. Blk 121 Stevens Road #12-345 (S) 458121 Address e.g. Blk 121 Stevens Road #12-345 (S) 458121

5 How often they change Most Frequently Least Frequently WeightHeightAddressFingerprint Blood Type GenderRace IC No.

6 Source & Cost of 8 Characteristic IC No Lower Cost Race Gender Address Fingerprint Height Weight Blood Type Higher Cost

7 How hard to obtain them Hardest Easiest

8 How certain evidence they are in a crime Most Certain Least Certain

9 Which two should be kept in database WeightHeightAddressFingerprint Blood Type GenderRace IC No.

10 Conclusion Suspect Address, Weight, Height Gender Blood Type, Race IC No. Fingerprint


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