Automatic temporospatial pattern analysis and prediction in a telecommunications network using rule induction

• US 5,724,263 A
• Filed: 05/30/1997
• Issued: 03/03/1998
• Est. Priority Date: 10/21/1993
• Status: Expired due to Term

• Current Assignee: AT&T Corporation (AT&T, Inc.)
• Original Assignee: AT&T Corporation (AT&T, Inc.)
• Inventors: Raguram, Sasisekharan, Seshadri, V., Weiss, Sholom M.
• Primary Examiner(s): Ramirez, Ellis B.
• Assistant Examiner(s): Stamber, Eric W.
• Application Number:
  US08/866,047
• Time in Patent Office: 277 Days
• Field of Search: 364/552, 395/200.53, 395/500.54, 395/50, 395/51, 395/68, 395/75, 395/77, 395/917
• US Class Current: 702/84
• CPC Class Codes: H04M 3/2254 in networks
• CPC Class Codes: H04M 3/36 Statistical metering, e.g. recording occasions when traffic exceeds capacity of trunks
• CPC Class Codes: H04Q 2213/13521 fault management
• CPC Class Codes: H04Q 2213/13544 modeling or simulation, particularly of networks
• CPC Class Codes: H04Q 3/0075 Fault management techniques
• CPC Class Codes: H04Q 3/0079 involving restoration of networks, e.g. disaster recovery, self-healing networks

Abstract

A facility is provided for enhancing an operations support system so that, based on data generated as a result of an event occurring in an associated telecommunications network, the operations support system can predict the likelihood of the event occurring again in the network.

Claims

1. A method of processing particular data generated by a telecommunications system, said particular data being indicative of different types of events that occurred in said telecommunication system, said method comprising the steps of:

obtaining said particular data from said telecommunications system,

segmenting said particular data into a plurality of groups,

processing said particular data contained within at least a first group of said plurality of groups and automatically generating values for respective predetermined measurements,

independently generating at least one rule set as a function of said predetermined measurements, and

processing said particular data in said first group using said at least one rule set to identify said different types of events and to predict measurements in at least a second group.

2. The method set forth in claim 1 further comprising the step of applying said at least one rule set to data currently generated by said telecommunications system to determine if individual ones of said different types of events are likely to occur subsequently.

3. The method set forth in claim 1 wherein said step of generating includes the step of generating a plurality of rule sets and selecting as said at least one rule set that one of said plurality of rule sets which meets a predetermined specification.

4. The method set forth in claim 3 wherein said predetermined specification includes a predetermined level of accuracy and a predetermined level of coverage.

5. The method set forth in claim 3 wherein said step of generating includes the steps of

generating a data file comprising said predetermined measurements, and

supplying said data file to a rule induction generator to generate said plurality of rule sets.

6. The method set forth in claim 1 wherein said different types of events include chronic problems identified by respective alarm conditions that occurred in said telecommunications system.

7. The method set forth in claim 1 wherein said particular data defines different traffic patterns within said telecommunications system.

8. The method set forth in claim 1 wherein said step of generating includes the step of

supplying said at least one rule set to an operations system processor so that said operations system processor may use said at least one rule set to identify chronic problems when they occur in said communications system.

9. The method set forth in claim 1, wherein said step of generating includes the step of supplying said at least one rule set to a quality control processor so that said quality control processor may predict trends in the occurrence of said different types of events.

10. The method set forth in claim 1 wherein said particular data is service provisioning information associated with a particular service feature provided by said telecommunications system.