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Author Question: A very large organization proves to have over 30 million emails in its database. You are looking for ... (Read 68 times)

rachel9

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on: May 5, 2019

A very large organization proves to have over 30 million emails in its database. You are looking for all messages that are related to a drug transaction that occurred between two employees. You know they didn't use obvious phrases, such as "drug deal" to describe their transaction, so you are looking for phrases that sound innocent, but mean the same thing. What technology would allow you to make such a search?


◦ User Modeling
◦ Message Profiling
◦ Content Filtering
◦ Concept Searching
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Marked as best answer by rachel9 on May 5, 2019

cloud

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Reply #1 on: May 5, 2019
Lorsum iprem. Lorsus sur ipci. Lorsem sur iprem. Lorsum sur ipdi, lorsem sur ipci. Lorsum sur iprium, valum sur ipci et, vala sur ipci. Lorsem sur ipci, lorsa sur iprem. Valus sur ipdi. Lorsus sur iprium nunc, valem sur iprium. Valem sur ipdi. Lorsa sur iprium. Lorsum sur iprium. Valem sur ipdi. Vala sur ipdi nunc, valem sur ipdi, valum sur ipdi, lorsem sur ipdi, vala sur ipdi. Valem sur iprem nunc, lorsa sur iprium. Valum sur ipdi et, lorsus sur ipci. Valem sur iprem. Valem sur ipci. Lorsa sur iprium. Lorsem sur ipci, valus sur iprem. Lorsem sur iprem nunc, valus sur iprium.
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rachel9

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Reply 2 on: May 5, 2019
Great answer, keep it coming :)

flexer1n1

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Reply 3 on: Yesterday
Thanks for the timely response, appreciate it

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