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1. WO2020069393 - TECHNIQUES FOR DATA-DRIVEN CORRELATION OF METRICS

Publication Number WO/2020/069393
Publication Date 02.04.2020
International Application No. PCT/US2019/053576
International Filing Date 27.09.2019
IPC
G06Q 10/04 2012.01
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
10Administration; Management
04Forecasting or optimisation, e.g. linear programming, "travelling salesman problem" or "cutting stock problem"
CPC
G06F 9/451
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
FELECTRIC DIGITAL DATA PROCESSING
9Arrangements for program control, e.g. control units
06using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
44Arrangements for executing specific programs
451Execution arrangements for user interfaces
G06Q 10/04
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
10Administration; Management
04Forecasting or optimisation, e.g. linear programming, "travelling salesman problem" or "cutting stock problem"
G06Q 10/06393
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
10Administration; Management
06Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
063Operations research or analysis
0639Performance analysis
06393Score-carding, benchmarking or key performance indicator [KPI] analysis
G06T 11/206
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
112D [Two Dimensional] image generation
20Drawing from basic elements, e.g. lines or circles
206Drawing of charts or graphs
G06T 2200/24
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
2200Indexing scheme for image data processing or generation, in general
24involving graphical user interfaces [GUIs]
Applicants
  • ORACLE INTERNATIONAL CORPORATION [US]/[US]
Inventors
  • CHINTALAPATI, Renu
  • GUPTA, Manisha
  • BAJPAI, Ashlesh
  • GRANHOLM, David
  • SCHMITZ, Stefan
  • CHAWLA, Naren
  • BEDIN, Matthew
  • VIGEANT, Jacques
  • VENKATA, Ananth
  • BALU, Rajesh
  • AGRAWAL, Vikas
Agents
  • BRADFORD, Sara
  • HAYIM, Samuel
  • SHAFFER, William
  • KOTWAL, Sujit
  • MATHISON, Mark
  • AUSTIN, Shelton W.
  • BENNETT, Jesse S.
  • BERGSTROM, James T.
  • SWEHLA, Aaron
  • KUSHA, Babak
  • DORAN-CIVAN, Neslihan I.
  • FU, Zhenhai
  • ROTHWELL, Rodney
  • SHEN, Fei
  • UY, Ruthleen
  • FRANKLIN, Thomas
  • GAUDRY, Katherine
  • VADERA, Sameer
  • WANG, Xiaoyu
  • DRIES, Daniel
  • CHOY, Ming
  • LEI, Ji
  • PLATI, Francis
  • DEW, Stephen
  • OLION, Brian
  • FELDMAN, Baruch
  • KANZAKI, Kim
  • MCGUIRE, JR., John
  • CHENG, Charles
  • GELBLUM, Michael
  • SUTTON, Eric
  • NICHOLES, Christian A.
  • WEBER, Eric
  • HUTCHINS, Eric
  • WRIGHT, Alicia
  • BELL, Vanessa
  • CHUNG, Matthew
  • BAGGALEY, Nicholas
Priority Data
62/737,51827.09.2018US
62/855,21831.05.2019US
Publication Language English (EN)
Filing Language English (EN)
Designated States
Title
(EN) TECHNIQUES FOR DATA-DRIVEN CORRELATION OF METRICS
(FR) TECHNIQUES DE CORRÉLATION DE PARAMÈTRES GUIDÉE PAR DES DONNÉES
Abstract
(EN)
Described herein are techniques for identifying highly relevant content for a user to view in the form of KPI cards and providing the relevant view to the user automatically or by suggestion. The KPIs of highest practical and statistical significance are provided when the user accesses the user interface. In some embodiments, when the user is viewing a KPI, other relevant KPIs may be provided for the user to view as suggestions. Further, in some embodiments, the user may be provided with the KPIs of significance based on anomaly detection, and the explanation for the anomaly as well as suggestions for remedying any issues may be provided to the user. The highly informational content can be surfaced through the use of the advanced machine learning algorithms described herein.
(FR)
La présente invention concerne des techniques permettant d'identifier un contenu hautement pertinent pour qu'un utilisateur les visualise sous la forme de cartes KPI et fournissant la vue pertinente à l'utilisateur de manière automatique ou par suggestion. Les KPI présentant la signification pratique et statistique la plus élevée sont fournis lorsque l'utilisateur accède à l'interface utilisateur. Dans certains modes de réalisation, lorsque l'utilisateur visualise un KPI, d'autres KPI pertinents peuvent être fournis à l'utilisateur pour que ce dernier les visualise comme suggestions. En outre, dans certains modes de réalisation, l'utilisateur peut recevoir des KPI de signification sur la base de la détection d'anomalies, et l'explication de l'anomalie ainsi que des suggestions pour remédier d'éventuels problèmes peuvent être fournies à l'utilisateur. Le contenu hautement informationnel peut être surfacé grâce à l'utilisation des algorithmes d'apprentissage automatique avancés décrits ici.
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