Scaling transactions with signal analysis

A computer program product comprising:

• one or more computer readable storage media and program instructions stored on the one or more computer readable storage media, the program instructions comprising:
• program instructions to transform received data from a time function to a frequency function of the received data;
• program instructions to apply a filter to the frequency function to remove transactional noise;
• program instructions to utilize a fraud detection classification model to determine a pattern within the received data based on standardizing the received data and a periodicity associated with the frequency function of the received data;
• program instructions to generate a signal score associated with the determined pattern of the received data based, at least in part, on an identified cycle value indicative of a complexity of the received data wherein the identified cycle value is based on an amount of time for a data cleaning algorithm to determine the periodicity;
• in response to determining that the generated signal score meets or exceeds a predetermined threshold transaction amount, program instructions to trace at least one location associated with the received data;
• program instructions to dynamically suspend a processing of a computer-based transaction associated with an account that generated the received data in response to the traced location not being associated with a historical baseline of the account;
• and
• in response to receiving a user input, processing, by the processor set, a suspended computer-based transaction.

A computer system comprising:

• one or more computer processors;
• one or more computer readable storage media;
• and
• program instructions stored on the one or more computer readable storage media for execution by at least one of the one or more processors, the program instructions comprising:
• program instructions to transform received data from a time function to a frequency function of the received data;
• program instructions to apply a filter to the frequency function to remove transactional noise;
• program instructions to utilize a fraud detection classification model to determine a pattern within the received data based on standardizing the received data and a periodicity associated with the frequency function of the received data;
• program instructions to generate a signal score associated with the determined pattern of the received data based, at least in part, on an identified cycle value indicative of a complexity of the received data wherein the identified cycle value is based on an amount of time for a data cleaning algorithm to determine the periodicity;
• in response to determining that the generated signal score meets or exceeds a predetermined threshold transaction amount, program instructions to trace at least one location associated with the received data;
• program instructions to dynamically suspend a processing of a computer-based transaction associated with an account that generated the received data in response to the traced location not being associated with a historical baseline of the account;
• and
• in response to receiving a user input, processing, by the processor set, a suspended computer-based transaction.