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Extract from the Register of European Patents

EP About this file: EP3716075

EP3716075 - UTILIZING MACHINE LEARNING MODELS TO PROCESS RESOURCE USAGE DATA AND TO DETERMINE ANOMALOUS USAGE OF RESOURCES [Right-click to bookmark this link]
StatusThe patent has been granted
Status updated on  25.08.2023
Database last updated on 03.06.2024
FormerGrant of patent is intended
Status updated on  03.05.2023
FormerExamination is in progress
Status updated on  14.04.2022
FormerRequest for examination was made
Status updated on  26.03.2021
FormerThe application has been published
Status updated on  28.08.2020
Most recent event   Tooltip24.05.2024Lapse of the patent in a contracting state
New state(s): IT		published on 26.06.2024 [2024/26]
Applicant(s)For all designated states
Accenture Global Solutions Limited
3 Grand Canal Plaza
Grand Canal Street Upper
Dublin 4 / IE
[2020/40]
Inventor(s)01 / QIU, Kun
13564 Esprit Ave
San Diego, CA 92128 / US
02 / DESAI, Vijay
14344 Bourgeois Way
San Diego, CA 92129 / US
03 / KAPLAN, Laser Seymour
3358 Grim Ave.
San Diego, CA 92104 / US
04 / KALYAN GANJAPU, Durga
1102-25 St Dennis Dr
North York, Ontario M3C1E6 / CA
05 / LOMBARDO, Daniel Marcus
8840 Costa Verde Blvd.
Apt 3520
San Diego, CA 92122 / US
 [2020/40]
Representative(s)Müller-Boré & Partner Patentanwälte PartG mbB
Friedenheimer Brücke 21
80639 München / DE
[2020/40]
Application number, filing date20165075.124.03.2020
[2020/40]
Priority number, dateUS201962826405P29.03.2019         Original published format: US 201962826405 P
US20191655131426.08.2019         Original published format: US201916551314
[2020/40]
Filing languageEN
Procedural languageEN
PublicationType: A1 Application with search report 
No.:EP3716075
Date:30.09.2020
Language:EN
[2020/40]
Type: B1 Patent specification 
No.:EP3716075
Date:27.09.2023
Language:EN
[2023/39]
Search report(s)(Supplementary) European search report - dispatched on:EP18.08.2020
ClassificationIPC:G06F11/34, G06N20/00, G06N20/20
[2020/40]
CPC:
G06F11/3442 (EP); G06N20/00 (US); G06F11/3452 (EP);
G06N20/20 (EP); G06N5/04 (US); G06F11/3433 (EP);
G06F9/45533 (US) (-)
Designated contracting statesAL,   AT,   BE,   BG,   CH,   CY,   CZ,   DE,   DK,   EE,   ES,   FI,   FR,   GB,   GR,   HR,   HU,   IE,   IS,   IT,   LI,   LT,   LU,   LV,   MC,   MK,   MT,   NL,   NO,   PL,   PT,   RO,   RS,   SE,   SI,   SK,   SM,   TR [2021/17]
Former [2020/40]AL,  AT,  BE,  BG,  CH,  CY,  CZ,  DE,  DK,  EE,  ES,  FI,  FR,  GB,  GR,  HR,  HU,  IE,  IS,  IT,  LI,  LT,  LU,  LV,  MC,  MK,  MT,  NL,  NO,  PL,  PT,  RO,  RS,  SE,  SI,  SK,  SM,  TR 
TitleGerman:VERWENDUNG VON MASCHINENLERNMODELLEN ZUR VERARBEITUNG VON RESSOURCENNUTZUNGSDATEN UND ZUR BESTIMMUNG DER ANOMALEN NUTZUNG VON RESSOURCEN[2020/40]
English:UTILIZING MACHINE LEARNING MODELS TO PROCESS RESOURCE USAGE DATA AND TO DETERMINE ANOMALOUS USAGE OF RESOURCES[2020/40]
French:UTILISATION DE MODÈLES D'APPRENTISSAGE MACHINE POUR TRAITER DES DONNÉES D'UTILISATION DE RESSOURCES ET POUR DÉTERMINER L'UTILISATION ANORMALE DE RESSOURCES[2020/40]
Examination procedure11.03.2021Amendment by applicant (claims and/or description)
18.03.2021Examination requested  [2021/17]
18.03.2021Date on which the examining division has become responsible
13.04.2022Despatch of a communication from the examining division (Time limit: M04)
27.07.2022Reply to a communication from the examining division
04.05.2023Communication of intention to grant the patent
10.08.2023Receipt of the translation of the claim(s)
17.08.2023Fee for grant paid
17.08.2023Fee for publishing/printing paid
Fees paidRenewal fee
14.02.2022Renewal fee patent year 03
15.02.2023Renewal fee patent year 04
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Patent Court		 See the Register of the Unified Patent Court for opt-out data
Responsibility for the accuracy, completeness or quality of the data displayed under the link provided lies entirely with the Unified Patent Court.
Lapses during opposition  TooltipAT27.09.2023
CZ27.09.2023
EE27.09.2023
ES27.09.2023
FI27.09.2023
HR27.09.2023
IT27.09.2023
LT27.09.2023
LV27.09.2023
NL27.09.2023
PL27.09.2023
RO27.09.2023
RS27.09.2023
SE27.09.2023
SK27.09.2023
SM27.09.2023
NO27.12.2023
GR28.12.2023
IS27.01.2024
PT29.01.2024
[2024/26]
Former [2024/25]AT27.09.2023
CZ27.09.2023
EE27.09.2023
ES27.09.2023
FI27.09.2023
HR27.09.2023
LT27.09.2023
LV27.09.2023
NL27.09.2023
PL27.09.2023
RO27.09.2023
RS27.09.2023
SE27.09.2023
SK27.09.2023
SM27.09.2023
NO27.12.2023
GR28.12.2023
IS27.01.2024
PT29.01.2024
Former [2024/23]AT27.09.2023
CZ27.09.2023
EE27.09.2023
ES27.09.2023
FI27.09.2023
HR27.09.2023
LT27.09.2023
LV27.09.2023
NL27.09.2023
RO27.09.2023
RS27.09.2023
SE27.09.2023
SK27.09.2023
SM27.09.2023
NO27.12.2023
GR28.12.2023
IS27.01.2024
PT29.01.2024
Former [2024/20]FI27.09.2023
HR27.09.2023
LT27.09.2023
LV27.09.2023
NL27.09.2023
RS27.09.2023
SE27.09.2023
SM27.09.2023
NO27.12.2023
GR28.12.2023
IS27.01.2024
Former [2024/14]FI27.09.2023
HR27.09.2023
LT27.09.2023
LV27.09.2023
NL27.09.2023
RS27.09.2023
SE27.09.2023
NO27.12.2023
GR28.12.2023
Former [2024/10]FI27.09.2023
HR27.09.2023
LT27.09.2023
LV27.09.2023
RS27.09.2023
SE27.09.2023
NO27.12.2023
GR28.12.2023
Former [2024/09]FI27.09.2023
LT27.09.2023
SE27.09.2023
NO27.12.2023
GR28.12.2023
Former [2024/08]LT27.09.2023
NO27.12.2023
GR28.12.2023
Documents cited:Search[Y]US2019065738  (KIM MIJUNG [US], et al) [Y] 9,10,14 * abstract * * figure 1 ** paragraph [0032] - paragraph [0035] *;
 [IAY]  - VERGELES ANNA ET AL, "Unsupervised Real-Time Stream-Based Novelty Detection Technique an Approach in a Corporate Cloud", 2018 IEEE SECOND INTERNATIONAL CONFERENCE ON DATA STREAM MINING & PROCESSING (DSMP), IEEE, (20180821), doi:10.1109/DSMP.2018.8478490, pages 166 - 170, XP033412536 [I] 1-4,7-10,12,14,15 * the whole document * [A] 13 [Y] 5,6,9-11,14

DOI:   http://dx.doi.org/10.1109/DSMP.2018.8478490
 [Y]  - BUDA TEODORA SANDRA ET AL, "ADE: An ensemble approach for early Anomaly Detection", 2017 IFIP/IEEE SYMPOSIUM ON INTEGRATED NETWORK AND SERVICE MANAGEMENT (IM), IFIP, (20170508), doi:10.23919/INM.2017.7987310, pages 442 - 448, XP033127593 [Y] 5,6,11 * abstract * * Sections I-III * * figure 2 *

DOI:   http://dx.doi.org/10.23919/INM.2017.7987310
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