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Title:
METHOD FOR MONITORING DEVICES IN A NETWORK, COMPUTERIZED SYSTEM AND APPLICATION PROGRAM INTERFACE
Document Type and Number:
WIPO Patent Application WO/2019/138073
Kind Code:
A1
Abstract:
A Method for monitoring devices (2) generating event data items (EDI) comprises: classifying events into meaningful and meaningless events according to a predetermined set of rules; and discarding event data items (EDI) that are classified as meaningless events for generating a reduced set (RDS) of event data items (EDI); and/or counting the event data items (EDI) per event description (DES) for calculating numbers of occurrences (NO), and identifying a top event description having the highest number of occurrence; and/or identifying an interval (TI) where an elevated number of events (ENO) occurs; and/or applying a sequence pattern mining process (SPM) to the set/reduced set of event data items (DS) as a function of the top or target event description and/or the identified time interval for detecting frequently occurring sequences of events; and through an application program interface (6, 10), providing the reduced set of event data items (RDS), the numbers of occurrences (NO), the identified time intervals (TI) and/or the detected frequently occurring sequences of events in response to a request (REQ). An application program interface with analytics functions on event data allows for efficient event data mining.

Inventors:
BATSIUKOV KIRYL (DE)
BOTVINKIN PAVEL (RU)
GRIGORAS COSMIN-DRAGOS (RO)
MOGOREANU SERGHEI (DE)
MURARASU ALIN (DE)
MÜLLER MARTIN C (DE)
POTT PHILIPP (DE)
ROSHCHIN MIKHAIL (DE)
SOROCIANU FLORIN (RO)
VINTILA CRISTIAN RAUL (RO)
Application Number:
EP2019/050691
Publication Date:
July 18, 2019
Filing Date:
January 11, 2019
Export Citation:
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Assignee:
SIEMENS AG (DE)
International Classes:
G06F9/54
Domestic Patent References:
WO2017153005A12017-09-14
Other References:
PHILIPPE FOURNIER-VIGER ET AL: "A Survey of Sequential Pattern Mining", 1 February 2017 (2017-02-01), XP055490335, Retrieved from the Internet [retrieved on 20180705]
PEI J.; HAN J.; MORTAZAVI-ASL J.; PINTO H.; CHEN Q.; DAYAL U.; HSU M.: "PrefixSpan: Mining Sequential Patterns Efficiently by Prefix-Projected Pattern Growth", 17TH INTERNATIONAL CONFERENCE ON DATA ENGINEERING (ICDE, April 2001 (2001-04-01)
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