PATTERN IDENTIFICATION IN STRUCTURED EVENT DATA

1 . A system, comprising:

one or more memories; and

one or more processors, communicatively coupled to the one or more memories, configured to:

receive, from a device of a requestor, and by a remote server, a request,

wherein the request includes an identifier associated with the requestor that authorizes at least the device to receive structured data;

receive, from a data source and by the remote server, a set of structured data including a plurality of entries;

determine, by the remote server and based on analyzing the plurality of entries, subsets of the structured data that are representative of different recurring events;

determine, by the remote server and based on analyzing the subsets of the structured data, properties associated with the different recurring events;

generate, by the remote server, a data structure representative of the different recurring events and the properties; and

transmit, by the remote server, the generated data structure to a user device.

2 . The system of claim 1 , wherein the request includes a parameter that encapsulates a token associated with the device.

3 . The system of claim 2 , wherein the token is generated based on a key associated with the user device.

4 . The system of claim 1 , wherein determining the subsets of the structured data that are representative of the different recurring events is based on applying a plurality of rules related to the properties associated with the different recurring events.

5 . The system of claim 1 , wherein the one or more processors are further configured to:

cluster entries of the plurality of entries based on the properties associated with the different recurring events.

6 . The system of claim 1 , wherein the generated data structure includes information related to an inflow stream and an outflow stream.

7 . The system of claim 1 , wherein the one or more processors are further configured to:

standardize information associated with the structured data; and

filter the structured data based on information associated with the properties.

8 . A non-transitory computer-readable medium storing a set of instructions, the set of instructions comprising:

one or more instructions that, when executed by one or more processors of a remote server, cause the remote server to:

receive, from a device of a requestor, a request,

wherein the request includes an identifier associated with the requestor that authorizes at least the device to receive structured data;

receive, from a data source, a set of structured data including a plurality of entries;

determine, based on analyzing the plurality of entries, subsets of the structured data that are representative of different recurring events;

determine, based on analyzing the subsets of the structured data, properties associated with the different recurring events;

generate a data structure representative of the different recurring events and the properties; and

transmit the generated data structure to another device.

9 . The non-transitory computer-readable medium of claim 8 , wherein the request includes a parameter that encapsulates a token associated with the device.

10 . The non-transitory computer-readable medium of claim 9 , wherein the token is generated based on a key associated with the other device.

11 . The non-transitory computer-readable medium of claim 8 , wherein determining the subsets of the structured data that are representative of the different recurring events is based on applying a plurality of rules related to the properties associated with the different recurring events.

12 . The non-transitory computer-readable medium of claim 8 , wherein the one or more instructions further cause the remote server to:

cluster entries of the plurality of entries based on the properties associated with the different recurring events.

13 . The non-transitory computer-readable medium of claim 8 , wherein the generated data structure includes information related to an inflow stream and an outflow stream.

14 . The non-transitory computer-readable medium of claim 8 , wherein the one or more instructions further cause the remote server to:

standardize information associated with the structured data; and

filter the structured data based on information associated with the properties.

15 . A method, comprising:

receiving, from a device of a requestor and by a remote server, a request,

wherein the request includes an identifier associated with the requestor that authorizes at least the device to receive structured data;

receiving, from a data source and by the remote server, a set of structured data including a plurality of entries;

determining, by the remote server and based on analyzing the plurality of entries, subsets of the structured data that are representative of different recurring events;

determining, by the remote server and based on analyzing the subsets of the structured data, properties associated with the different recurring events;

generating, by the remote server, a data structure representative of the different recurring events and the properties; and

transmitting, by the remote server, the generated data structure to a another device.

16 . The method of claim 15 , wherein the request includes a parameter that encapsulates a token associated with the device.

17 . The method of claim 16 , wherein the token is generated based on a key associated with the other device.

18 . The method of claim 15 , wherein determining the subsets of the structured data that are representative of the different recurring events is based on applying a plurality of rules related to the properties associated with the different recurring events.

19 . The method of claim 15 , further comprising:

clustering entries of the plurality of entries based on the properties associated with the different recurring events.

20 . The method of claim 15 , further comprising:

standardizing information associated with the structured data; and

filtering the structured data based on information associated with the properties.