WO1993021587A3 - Machine learning with a relational database - Google Patents

Machine learning with a relational database Download PDF

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Publication number
WO1993021587A3
WO1993021587A3 PCT/US1993/003558 US9303558W WO9321587A3 WO 1993021587 A3 WO1993021587 A3 WO 1993021587A3 US 9303558 W US9303558 W US 9303558W WO 9321587 A3 WO9321587 A3 WO 9321587A3
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WO
WIPO (PCT)
Prior art keywords
relational database
database
fields
entries
entry
Prior art date
Application number
PCT/US1993/003558
Other languages
French (fr)
Other versions
WO1993021587A2 (en
Inventor
Bradley Paul Allen
Original Assignee
Inference Corp
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 Inference Corp filed Critical Inference Corp
Publication of WO1993021587A2 publication Critical patent/WO1993021587A2/en
Publication of WO1993021587A3 publication Critical patent/WO1993021587A3/en

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Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning

Abstract

A machine learning system which operates in conjunction with a relational database (101). The system may (1) examine a selected entry in the database, (2) query the database for a set of entries (114) which are representative of the selected entry, and (3) predict a value for one or more fields (106) of the selected entry in response to the set of representative entries. The system may perform these steps repeatedly, and may evaluate each entry and record an indication of accuracy or utility (or other values) (107) of that entry for predicting one or more fields. The system may also implement a case-based reasoning system, or an autonomous learning system, with a relational database. A system for error-checking and correlating entries and fields in a relational database. A system for error-checking and correlating entries and fields in a relational database is also disclosed. Occasional or periodic error-checking and selective replacement of erroneous data may provide a self-repairing database.
PCT/US1993/003558 1992-04-15 1993-04-14 Machine learning with a relational database WO1993021587A2 (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US86993592A 1992-04-15 1992-04-15
US07/869,935 1992-04-15

Publications (2)

Publication Number Publication Date
WO1993021587A2 WO1993021587A2 (en) 1993-10-28
WO1993021587A3 true WO1993021587A3 (en) 1993-11-25

Family

ID=25354483

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/US1993/003558 WO1993021587A2 (en) 1992-04-15 1993-04-14 Machine learning with a relational database

Country Status (2)

Country Link
AU (1) AU4286993A (en)
WO (1) WO1993021587A2 (en)

Families Citing this family (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5836771A (en) 1996-12-02 1998-11-17 Ho; Chi Fai Learning method and system based on questioning
US6498921B1 (en) 1999-09-01 2002-12-24 Chi Fai Ho Method and system to answer a natural-language question
EP1014240A1 (en) * 1998-12-17 2000-06-28 Siemens Aktiengesellschaft A system of case-based reasoning for sensor prediction in a technical process, especially in a cement kiln, method and apparatus therefore
US6571240B1 (en) 2000-02-02 2003-05-27 Chi Fai Ho Information processing for searching categorizing information in a document based on a categorization hierarchy and extracted phrases
JP3754267B2 (en) * 2000-04-05 2006-03-08 株式会社山武 Water distribution prediction system
US6862540B1 (en) * 2003-03-25 2005-03-01 Johnson Controls Technology Company System and method for filling gaps of missing data using source specified data
US7809663B1 (en) 2006-05-22 2010-10-05 Convergys Cmg Utah, Inc. System and method for supporting the utilization of machine language
US8379830B1 (en) 2006-05-22 2013-02-19 Convergys Customer Management Delaware Llc System and method for automated customer service with contingent live interaction
US9235846B2 (en) 2013-03-13 2016-01-12 Salesforce.Com, Inc. Systems, methods, and apparatuses for populating a table having null values using a predictive query interface
US10311364B2 (en) * 2013-11-19 2019-06-04 Salesforce.Com, Inc. Predictive intelligence for service and support
US10649457B2 (en) * 2017-05-02 2020-05-12 Cnh Industrial America Llc System and method for autonomous vehicle system planning
US11568281B2 (en) 2019-11-13 2023-01-31 International Business Machines Corporation Causal reasoning for explanation of model predictions

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4930071A (en) * 1987-06-19 1990-05-29 Intellicorp, Inc. Method for integrating a knowledge-based system with an arbitrary database system
WO1992007325A1 (en) * 1990-10-15 1992-04-30 E.I. Du Pont De Nemours And Company Apparatus and method for on-line prediction of unmeasurable process information

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4930071A (en) * 1987-06-19 1990-05-29 Intellicorp, Inc. Method for integrating a knowledge-based system with an arbitrary database system
WO1992007325A1 (en) * 1990-10-15 1992-04-30 E.I. Du Pont De Nemours And Company Apparatus and method for on-line prediction of unmeasurable process information

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
RISCH, TORE, et al., "A Functional Approach to Integrating Database and Expert Systems", COMMUNICATIONS OF THE ACM, Vol. 31, No. 12, December 1988, pp. 1424-437. *

Also Published As

Publication number Publication date
WO1993021587A2 (en) 1993-10-28
AU4286993A (en) 1993-11-18

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