EP3963469 - LEARNED RESOURCE CONSUMPTION MODEL FOR OPTIMIZING BIG DATA QUERIES [Right-click to bookmark this link] | Status | The patent has been granted Status updated on 27.04.2024 Database last updated on 02.09.2024 | |
Former | Grant of patent is intended Status updated on 19.11.2023 | ||
Former | Request for examination was made Status updated on 04.02.2022 | ||
Former | The international publication has been made Status updated on 06.11.2020 | ||
Former | unknown Status updated on 02.05.2020 | Most recent event Tooltip | 07.06.2024 | Correction of patent specification | published on 10.07.2024 [2024/28] | Applicant(s) | For all designated states Microsoft Technology Licensing, LLC One Microsoft Way Redmond, WA 98052-6399 / US | [2022/10] | Inventor(s) | 01 /
SIDDIQUI, Tarique Ashraf Microsoft Technology Licensing, LLC One Microsoft Way Redmond, Washington 98052-6399 / US | 02 /
JINDAL, Alekh Microsoft Technology Licensing, LLC One Microsoft Way Redmond, Washington 98052-6399 / US | 03 /
QIAO, Shi Microsoft Technology Licensing, LLC One Microsoft Way Redmond, Washington 98052-6399 / US | 04 /
PATEL, Hiren S. Microsoft Technology Licensing, LLC One Microsoft Way Redmond, Washington 98052-6399 / US | [2022/10] | Representative(s) | Grünecker Patent- und Rechtsanwälte PartG mbB Leopoldstraße 4 80802 München / DE | [2022/10] | Application number, filing date | 20720888.5 | 31.03.2020 | [2022/10] | WO2020US26018 | Priority number, date | US201962840897P | 30.04.2019 Original published format: US 201962840897 P | US201916511966 | 15.07.2019 Original published format: US201916511966 | [2022/10] | Filing language | EN | Procedural language | EN | Publication | Type: | A1 Application with search report | No.: | WO2020222961 | Date: | 05.11.2020 | Language: | EN | [2020/45] | Type: | A1 Application with search report | No.: | EP3963469 | Date: | 09.03.2022 | Language: | EN | The application published by WIPO in one of the EPO official languages on 05.11.2020 takes the place of the publication of the European patent application. | [2022/10] | Type: | B1 Patent specification | No.: | EP3963469 | Date: | 29.05.2024 | Language: | EN | [2024/22] | Type: | B8 Corrected title page of specification | No.: | EP3963469 | Date: | 10.07.2024 | [2024/28] | Search report(s) | International search report - published on: | EP | 05.11.2020 | Classification | IPC: | G06F16/2453 | [2022/10] | CPC: |
G06F16/24542 (EP,US);
G06F16/211 (US);
G06F16/2246 (US);
G06N20/10 (EP);
G06N20/20 (EP,US);
G06N3/08 (EP);
| Designated contracting states | 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 [2022/10] | Extension states | BA | Not yet paid | ME | Not yet paid | Validation states | KH | Not yet paid | MA | Not yet paid | MD | Not yet paid | TN | Not yet paid | Title | German: | ERLERNTES RESSOURCENVERBRAUCHSMODELL ZUR OPTIMIERUNG VON BIG-DATA-ABFRAGEN | [2024/24] | English: | LEARNED RESOURCE CONSUMPTION MODEL FOR OPTIMIZING BIG DATA QUERIES | [2022/10] | French: | MODÈLE DE CONSOMMATION DE RESSOURCES APPRIS POUR OPTIMISER DES REQUÊTES DE MÉGADONNÉES | [2024/22] |
Former [2022/10] | LERNENDES RESSOURCENVERBRAUCHSMODELL ZUR OPTIMIERUNG VON GROSSDATENABFRAGEN | ||
Former [2022/10] | MODÈLE DE CONSOMMATION DE RESSOURCES APPRISES POUR OPTIMISER DES INTERROGATIONS DE MÉGADONNÉES | Entry into regional phase | 08.10.2021 | National basic fee paid | 08.10.2021 | Designation fee(s) paid | 08.10.2021 | Examination fee paid | Examination procedure | 08.10.2021 | Examination requested [2022/10] | 08.10.2021 | Date on which the examining division has become responsible | 20.05.2022 | Amendment by applicant (claims and/or description) | 20.11.2023 | Communication of intention to grant the patent | 19.03.2024 | Fee for grant paid | 19.03.2024 | Fee for publishing/printing paid | 19.03.2024 | Receipt of the translation of the claim(s) | Fees paid | Renewal fee | 18.02.2022 | Renewal fee patent year 03 | 14.02.2023 | Renewal fee patent year 04 | 20.03.2024 | Renewal fee patent year 05 |
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Responsibility for the accuracy, completeness or quality of the data displayed under the link provided lies entirely with the Unified Patent Court. | Cited in | International search | [YA]US2011153593 (ZHOU JINGREN [US], et al); | [YA]US2017126795 (KUMAR SUBODH [US], et al); | [A]US2018060389 (HWANG SANGYONG [DE]) |