Parameter CSV files
Files and directories
accounts.csv
Account configuration list
count
Number of accountsmin_balance
Minimum initial balancemax_balance
Maximum initial balancecountry
Alpha-2 country codebusiness_type
business typemodel
Account behavior model ID (See alsoAbstractTransactionModel.java
)- 0: Single transactions
- 1: Fan-out
- 2: Fan-in
- 3: Mutual
- 4: Forward
- 5: Periodical
bank_id
Bank ID which these accounts belong to (optional)
Raw account list
uuid
Account IDseq
first_name
last_name
street_addr
city
state
zip
gender
phone_number
birth_date
ssn
degree.csv
This CSV file has three columns with header names: Count
, In-degree
and Out-degree
.
Each CSV row indicates how many account vertices with certain in(out)-degrees should be generated.
Here is an example of degree.csv.
Count,In-degree,Out-degree
0,2,2
1,1,1
2,2,2
From this parameter file, the transaction graph generator generates a directed graph with five vertices (accounts) and five edges. Two of five vertices has no outgoing edges and two of five vertices has no incoming edges (these two vertices might be same). The transaction network generator constructs a directed graph from the degree distribution data with Configuration Model.
alertPatterns.csv
AML typology transaction pattern parameters (CSV columns)
count
Number of typologies (transaction sets)type
Name of transaction type (fan_in
,fan_out
,cycle
...) as the AML typologyschedule_id
Transaction scheduling ID of the typology- 0: All member accounts send money in order with the same interval (number of days)
- 1: All member accounts send money in order with random intervals
- 2: All member accounts send money randomly
min_accounts
: Minimum number of involved accountsmax_accounts
: Maximum number of involved accountsmin_amount
Minimum initial transaction amountmax_amount
Maximum initial transaction amountmin_period
Minimum overall transaction period (number of days)max_period
Maximum overall transaction period (number of days)bank_id
Bank ID which member accounts belong to (optional: if empty, no limitation for the bank ID)is_sar
Whether the alert is SAR (True) or false alert (False)
transactionType.csv
This CSV file has two columns with header names: Type
(transaction type name)
and Frequency
(relative number of transaction frequency)
Here is an example of transactionType.csv.
Type,Frequency
WIRE,5
CREDIT,10
DEPOSIT,15
CHECK,20
In this case, "WIRE" transaction will appear with 10% probability (5 / (5+10+15+20) = 0.1)