METHOD AND SYSTEM FOR PREDICTING FUTURE POLITICAL EVENTS USING PAYMENT TRANSACTION DATA

• US 20150242748A1
• Filed: 02/21/2014
• Published: 08/27/2015
• Est. Priority Date: 02/21/2014
• Status: Abandoned Application

• Current Assignee: Mastercard International Incorporated (MasterCard Incorporated)
• Original Assignee: Mastercard International Incorporated (MasterCard Incorporated)
• Inventors: UNSER, Kenneth, BERNARD, Serge, MALGATTI, Nikhil
• Application Number:
  US14/186,461
• Publication Number:
  US 20150242748A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06Q 30/0201 Market modelling; Market analysis; Collecting market data
• CPC Class Codes: G06Q 30/0278 Product appraisal

Abstract

A method for predicting the occurrence of a future political event includes: storing a plurality of event data entries, each entry including data related to a past political event including at least an event category associated with the related political event and one or more past transaction behaviors; storing a plurality of transaction data entries, each entry including data related to a payment transaction conducted in a predetermined geographic area including at least transaction data; identifying one or more current transaction behaviors based on the transaction data included in each transaction data entry; identifying a specific event data entry based on a correspondence between the identified one or more current transaction behaviors and the one or more past transaction behaviors included in the specific event data entry; and predicting an event associated with the event category included in the specific event data entry in the predetermined geographic area.

Claims

1. A method for predicting the occurrence of a future political event comprising:

storing, in an event database, a plurality of event data entries, wherein event data entries include data related to a past political event including at least an event category associated with the related political event and one or more past transaction behaviors;

storing, in a transaction database, a plurality of current transaction data entries, wherein transaction data entries include data related to current payment transactions conducted in a predetermined geographic area including at least transaction data;

identifying, by a processing device, one or more current transaction behaviors based on the transaction data included in transaction data entries of the plurality of current transaction data entries;

identifying, by the processing device, at least one specific event data entry based on a correspondence between the identified one or more current transaction behaviors and the one or more past transaction behaviors included in the at least one specific event data entry; and

predicting, by the processing device, an event associated with the event category included in the specific event data entry in the predetermined geographic area.

2. The method of claim 1, wherein the transaction data includes at least one of:

transaction time and/or date, product data, merchant data, transaction amount, and geographic location.

3. The method of claim 1, wherein

each transaction data entry further includes at least a transaction time and/or date,

each event data entry further includes at least timing data, and

predicting the event includes predicting an occurrence date for the event based on at least the transaction time and/or date included in each transaction data entry and the timing data included in the identified specific event data entry.

4. The method of claim 1, wherein the event category is a Conflict and Mediation Event Observations code.

5. The method of claim 1, wherein

each event data entry further includes event data, and

the predicted event is based on at least the event data included in the specific event data entry.

6. The method of claim 5, wherein the event data includes at least one of:

a time and/or date, name, description, impact, result, and length.

7. The method of claim 1, further comprising:

receiving, by a receiving device, a request for a future event prediction, wherein the request includes at least the predetermined geographic area.

8. The method of claim 7, further comprising:

transmitting, by a transmitting device, the predicted event in response to the received request for a future event prediction.

9. The method of claim 7, wherein

the request for a future event prediction further includes a predetermined period of time,

each of the transaction data entries further includes a transaction time and/or date, and

the transaction time and/or date included in each transaction data entry is within the predetermined period of time.

10. A system for predicting the occurrence of a future political event comprises:

an event database configured to store a plurality of event data entries, wherein event data entries includes data related to a past political event including at least an event category associated with the related political event and one or more past transaction behaviors;

a transaction database configured to store a plurality of transaction data entries, wherein current transaction data entries include data related to current payment transactions conducted in a predetermined geographic area including at least transaction data;

a processing device configured to;

identify one or more current transaction behaviors based on the transaction data included in the transaction data entries of the plurality of current transaction data entries;

identify at least one specific event data entry based on a correspondence between the identified one or more current transaction behaviors and the one or more past transaction behaviors included in the at least one specific event data entry; and

predict an event associated with the event category included in the specific event data entry in the predetermined geographic area.

11. The system of claim 10, wherein the transaction data includes at least one of:

transaction time and/or date, product data, merchant data, transaction amount, and geographic location.

12. The system of claim 10, wherein

each transaction data entry further includes at least a transaction time and/or date,

each event data entry further includes at least timing data, and

predicting the event includes predicting an occurrence date for the event based on at least the transaction time and/or date included in each transaction data entry and the timing data included in the identified specific event data entry.

13. The system of claim 10, wherein the event category is a Conflict and Mediation Event Observations code.

14. The system of claim 10, wherein

each event data entry further includes event data, and

the predicted event is based on at least the event data included in the specific event data entry.

15. The system of claim 14, wherein the event data includes at least one of:

a time and/or date, name, description, impact, result, and length.

16. The system of claim 10, further comprising:

a receiving device configured to receive a request for a future event prediction, wherein the request includes at least the predetermined geographic area.

17. The system of claim 16, further comprising:

a transmitting device configured to transmit the predicted event in response to the received request for a future event prediction.

18. The system of claim 16, wherein

the request for a future event prediction further includes a predetermined period of time,

each of the transaction data entries further includes a transaction time and/or date, and

the transaction time and/or date included in each transaction data entry is within the predetermined period of time.