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963 B
1 line
963 B
1. Objective: We want to detect outliers in bitcoin transactions that may reflect unusual activity.
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2. License: Free to use but requires acknowledgement of http://compbio.cs.uic.edu
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3. Data Source: http://compbio.cs.uic.edu/data/bitcoin/
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4. DataSet Info: We have retained the first 100k records from the original dataset that contained 37.5 million records.
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5. Field Meanings:
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A. transaction_id: Bitcoin transaction ID. Note that it is not a primary key.
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B. user_id_from: ID of user who sent the bitcoins.
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C. user_id_to: ID of user who received the bitcoins.
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D. date: When the transaction occurred.
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E. value: Amount of bitcoins being transferred.
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F. isOutlier: 1 (Outlier), 0 (Normal)
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6. Parameter Selection:
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A. Dashboard Usage: Detect Categorical Outlier
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Settings:
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1) Search command: | inputlookup bitcoin_transactions.csv | eval from_user = "u".user_id_from | eval to_user = "u".user_id_to
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2) Field(s) to analyze: from_user, to_user, value
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