SG10201913809TA - Dynamic self-learning system for automatically creating new rules for detecting organizational fraud - Google Patents

Dynamic self-learning system for automatically creating new rules for detecting organizational fraud

Info

Publication number
SG10201913809TA
SG10201913809TA SG10201913809TA SG10201913809TA SG10201913809TA SG 10201913809T A SG10201913809T A SG 10201913809TA SG 10201913809T A SG10201913809T A SG 10201913809TA SG 10201913809T A SG10201913809T A SG 10201913809TA SG 10201913809T A SG10201913809T A SG 10201913809TA
Authority
SG
Singapore
Prior art keywords
detecting
learning system
creating new
automatically creating
new rules
Prior art date
Application number
SG10201913809TA
Inventor
Vijay Sampath
Original Assignee
Surveillens Inc
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Surveillens Inc filed Critical Surveillens Inc
Publication of SG10201913809TA publication Critical patent/SG10201913809TA/en

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/018—Certifying business or products
    • G06Q30/0185—Product, service or business identity fraud
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
    • G06F18/217—Validation; Performance evaluation; Active pattern learning techniques
    • G06F18/2178—Validation; Performance evaluation; Active pattern learning techniques based on feedback of a supervisor
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/22—Matching criteria, e.g. proximity measures
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00—Computing arrangements using knowledge-based models
    • G06N5/02—Knowledge representation; Symbolic representation
    • G06N5/022—Knowledge engineering; Knowledge acquisition
    • G06N5/025—Extracting rules from data
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q99/00—Subject matter not provided for in other groups of this subclass

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Business, Economics & Management (AREA)
  • General Engineering & Computer Science (AREA)
  • Data Mining & Analysis (AREA)
  • Software Systems (AREA)
  • Artificial Intelligence (AREA)
  • Evolutionary Computation (AREA)
  • Mathematical Physics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • General Business, Economics & Management (AREA)
  • Computing Systems (AREA)
  • Economics (AREA)
  • Strategic Management (AREA)
  • Development Economics (AREA)
  • Medical Informatics (AREA)
  • Accounting & Taxation (AREA)
  • Finance (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Marketing (AREA)
  • Computational Linguistics (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Evolutionary Biology (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
SG10201913809TA 2016-06-02 2017-06-02 Dynamic self-learning system for automatically creating new rules for detecting organizational fraud SG10201913809TA (en)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
US201662344932P 2016-06-02 2016-06-02

Publications (1)

Publication Number Publication Date
SG10201913809TA true SG10201913809TA (en) 2020-03-30

Family

ID=60479084

Family Applications (2)

Application Number Title Priority Date Filing Date
SG10201913809TA SG10201913809TA (en) 2016-06-02 2017-06-02 Dynamic self-learning system for automatically creating new rules for detecting organizational fraud
SG11201810762WA SG11201810762WA (en) 2016-06-02 2017-06-02 Dynamic self-learning system for automatically creating new rules for detecting organizational fraud

Family Applications After (1)

Application Number Title Priority Date Filing Date
SG11201810762WA SG11201810762WA (en) 2016-06-02 2017-06-02 Dynamic self-learning system for automatically creating new rules for detecting organizational fraud

Country Status (5)

Country Link
US (1) US20190228419A1 (en)
CA (1) CA3026250A1 (en)
SG (2) SG10201913809TA (en)
WO (1) WO2017210519A1 (en)
ZA (1) ZA201808652B (en)

Families Citing this family (28)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US10841329B2 (en) * 2017-08-23 2020-11-17 International Business Machines Corporation Cognitive security for workflows
CN108038700A (en) * 2017-12-22 2018-05-15 上海前隆信息科技有限公司 A kind of anti-fraud data analysing method and system
US10706418B2 (en) * 2018-03-09 2020-07-07 Sap Se Dynamic validation of system transactions based on machine learning analysis
US10692153B2 (en) * 2018-07-06 2020-06-23 Optum Services (Ireland) Limited Machine-learning concepts for detecting and visualizing healthcare fraud risk
US20200043005A1 (en) * 2018-08-03 2020-02-06 IBS Software Services FZ-LLC System and a method for detecting fraudulent activity of a user
US11507845B2 (en) * 2018-12-07 2022-11-22 Accenture Global Solutions Limited Hybrid model for data auditing
CN109754175B (en) * 2018-12-28 2023-04-07 广州明动软件股份有限公司 Computational model for compressed prediction of transaction time limit of administrative examination and approval items and application thereof
CN110009796B (en) * 2019-04-11 2020-12-04 北京邮电大学 Invoice category identification method and device, electronic equipment and readable storage medium
US11689541B2 (en) 2019-11-05 2023-06-27 GlassBox Ltd. System and method for detecting potential information fabrication attempts on a webpage
US11706230B2 (en) 2019-11-05 2023-07-18 GlassBox Ltd. System and method for detecting potential information fabrication attempts on a webpage
US11556568B2 (en) * 2020-01-29 2023-01-17 Optum Services (Ireland) Limited Apparatuses, methods, and computer program products for data perspective generation and visualization
CN111401906A (en) * 2020-03-05 2020-07-10 中国工商银行股份有限公司 Transfer risk detection method and system
US11132698B1 (en) 2020-04-10 2021-09-28 Grant Thornton Llp System and methods for general ledger flagging
US11429974B2 (en) * 2020-07-18 2022-08-30 Sift Science, Inc. Systems and methods for configuring and implementing a card testing machine learning model in a machine learning-based digital threat mitigation platform
US20220027916A1 (en) * 2020-07-23 2022-01-27 Socure, Inc. Self Learning Machine Learning Pipeline for Enabling Binary Decision Making
US20220036200A1 (en) * 2020-07-28 2022-02-03 International Business Machines Corporation Rules and machine learning to provide regulatory complied fraud detection systems
US20220076139A1 (en) * 2020-09-09 2022-03-10 Jpmorgan Chase Bank, N.A. Multi-model analytics engine for analyzing reports
US11694031B2 (en) 2020-11-30 2023-07-04 International Business Machines Corporation Identifying routine communication content
US20220198346A1 (en) * 2020-12-23 2022-06-23 Intuit Inc. Determining complementary business cycles for small businesses
US11687940B2 (en) * 2021-02-18 2023-06-27 International Business Machines Corporation Override process in data analytics processing in risk networks
US20220277242A1 (en) * 2021-02-26 2022-09-01 Rimini Street, Inc. Method and system for using robotic process automation to provide real-time case assistance to client support professionals
US11544715B2 (en) 2021-04-12 2023-01-03 Socure, Inc. Self learning machine learning transaction scores adjustment via normalization thereof accounting for underlying transaction score bases
US20230125455A1 (en) * 2021-10-27 2023-04-27 Bank Of America Corporation System for intelligent rule modelling for exposure detection
WO2023121934A1 (en) * 2021-12-23 2023-06-29 Paypal, Inc. Data quality control in an enterprise data management platform
US11475375B1 (en) 2022-04-25 2022-10-18 Morgan Stanley Services Group Inc. Risk assessment with automated escalation or approval
WO2023229474A1 (en) * 2022-05-27 2023-11-30 Xero Limited Methods, systems and computer program products for determining models for predicting reoccurring transactions
JP7143545B1 (en) 2022-06-15 2022-09-28 有限責任監査法人トーマツ Program and information processing device
JP7360118B1 (en) 2023-07-04 2023-10-12 ゼネリックソリューション株式会社 Examination support device, examination support method, and examination support program

Family Cites Families (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7587348B2 (en) * 2006-03-24 2009-09-08 Basepoint Analytics Llc System and method of detecting mortgage related fraud
US20080086342A1 (en) * 2006-10-09 2008-04-10 Curry Edith L Methods of assessing fraud risk, and deterring, detecting, and mitigating fraud, within an organization
US20130024358A1 (en) * 2011-07-21 2013-01-24 Bank Of America Corporation Filtering transactions to prevent false positive fraud alerts

Also Published As

Publication number Publication date
SG11201810762WA (en) 2018-12-28
CA3026250A1 (en) 2017-12-07
ZA201808652B (en) 2021-04-28
US20190228419A1 (en) 2019-07-25
WO2017210519A1 (en) 2017-12-07

Similar Documents

Publication Publication Date Title
ZA201808652B (en) Dynamic self-learning system for automatically creating new rules for detecting organizational fraud
IL265307B (en) Systems and methods for detecting online fraud
ZA201707705B (en) Method and system for automatically counting microbial colonies
GB2544946B (en) Systems and methods for analyzing the eye
HK1222906A1 (en) Vehicle-borne inspection system
IL259976A (en) Hybrid metrology method and system
SG11201607508TA (en) Evaluation system and method
EP3268901C0 (en) System and method for object authenticity detection
SG11201609765VA (en) Systems and methods for detecting vascular access disconnection
GB2563947B (en) Fraud Detection System
GB201802233D0 (en) Defect discrimination apparatus, methods, and systems
PL3116375T3 (en) System and method for retinopathy detection
GB201813387D0 (en) Integrated security inspections system
GB2554267B (en) Refrigerant leakage detection system
ZA201701632B (en) Improved customer profiling system and method therefor
GB201605360D0 (en) Local chat service simulator for bot development
SG11201701117VA (en) Method and system for determining relationship between users
GB201904998D0 (en) Orifice inspection system
FR3033237B3 (en) DETECTION UNIT FOR LETTER BOXES
ZA201502815B (en) System and method for shunting detection
GB2539825B (en) System and method for flow diversion
ZA201606593B (en) A system and method for providing differential service scheme
GB2546273B (en) Detection system
GB2533997B (en) Brake for rolling container, rolling container provided therewith and method therefor
IL239691A0 (en) System and emthod for measuring flow