WO1992017853A3 - Direct data base analysis, forecasting and diagnosis method - Google Patents

Direct data base analysis, forecasting and diagnosis method Download PDF

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Publication number
WO1992017853A3
WO1992017853A3 PCT/US1992/002757 US9202757W WO9217853A3 WO 1992017853 A3 WO1992017853 A3 WO 1992017853A3 US 9202757 W US9202757 W US 9202757W WO 9217853 A3 WO9217853 A3 WO 9217853A3
Authority
WO
WIPO (PCT)
Prior art keywords
data base
identifying
forecasting
diagnosis method
direct data
Prior art date
Application number
PCT/US1992/002757
Other languages
French (fr)
Other versions
WO1992017853A2 (en
Inventor
Peter W Frey
Original Assignee
Pattern Recognition L P
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 Pattern Recognition L P filed Critical Pattern Recognition L P
Publication of WO1992017853A2 publication Critical patent/WO1992017853A2/en
Publication of WO1992017853A3 publication Critical patent/WO1992017853A3/en

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Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00—Error detection; Error correction; Monitoring
    • G06F11/30—Monitoring
    • G06F11/34—Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation ; Recording or statistical evaluation of user activity, e.g. usability assessment
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00—Error detection; Error correction; Monitoring
    • G06F11/22—Detection or location of defective computer hardware by testing during standby operation or during idle time, e.g. start-up testing

Abstract

A method for analyzing records of a data base by selecting a target measure related to a selected outcome, identifying data in known records of the data base for use as predictor variables, grouping selected ones of the predictor variables, producing derived values of the target measure for different combinations of the predictor variables for each group, identifying the derived values for a test record, identifying a selected number of known records that are most similar to the test record with respect to the derived values, identifying the value of the selected outcome of the selected most similar known records, and using that value for predicting a selected outcome for the test record.
PCT/US1992/002757 1991-04-05 1992-04-06 Direct data base analysis, forecasting and diagnosis method WO1992017853A2 (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US68111591A 1991-04-05 1991-04-05
US681,115 1991-04-05

Publications (2)

Publication Number Publication Date
WO1992017853A2 WO1992017853A2 (en) 1992-10-15
WO1992017853A3 true WO1992017853A3 (en) 1992-11-26

Family

ID=24733895

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/US1992/002757 WO1992017853A2 (en) 1991-04-05 1992-04-06 Direct data base analysis, forecasting and diagnosis method

Country Status (2)

Country Link
AU (1) AU1791192A (en)
WO (1) WO1992017853A2 (en)

Families Citing this family (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP0852004B1 (en) 1995-10-11 2011-01-19 Luminex Corporation Multiplexed analysis of clinical specimens
BR0210879A (en) 2001-07-06 2004-06-22 Computer Ass Think Inc Method and system for providing performance metrics stored in an array of at least three dimensions, and storage medium
US8148171B2 (en) 2001-10-09 2012-04-03 Luminex Corporation Multiplexed analysis of clinical specimens apparatus and methods
US20110280493A1 (en) * 2010-05-16 2011-11-17 International Business Machines Corporation Visual enhancement of a data record
CA3212002A1 (en) 2011-03-17 2012-09-20 Cernostics, Inc. Systems and compositions for diagnosing barrett's esophagus and methods of using the same
WO2017091658A1 (en) 2015-11-25 2017-06-01 Cernostics, Inc. Methods of predicting progression of barrett's esophagus
CN109344055B (en) * 2018-09-07 2020-05-19 武汉达梦数据库有限公司 Test method and test device

Citations (4)

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Publication number Priority date Publication date Assignee Title
US4905163A (en) * 1988-10-03 1990-02-27 Minnesota Mining & Manufacturing Company Intelligent optical navigator dynamic information presentation and navigation system
US4969114A (en) * 1988-11-14 1990-11-06 Intergraph Corporation Method for determining an intuitively defined spatial relationship among physical entities
US5041972A (en) * 1988-04-15 1991-08-20 Frost W Alan Method of measuring and evaluating consumer response for the development of consumer products
US5077807A (en) * 1985-10-10 1991-12-31 Palantir Corp. Preprocessing means for use in a pattern classification system

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5077807A (en) * 1985-10-10 1991-12-31 Palantir Corp. Preprocessing means for use in a pattern classification system
US5041972A (en) * 1988-04-15 1991-08-20 Frost W Alan Method of measuring and evaluating consumer response for the development of consumer products
US4905163A (en) * 1988-10-03 1990-02-27 Minnesota Mining & Manufacturing Company Intelligent optical navigator dynamic information presentation and navigation system
US4969114A (en) * 1988-11-14 1990-11-06 Intergraph Corporation Method for determining an intuitively defined spatial relationship among physical entities

Non-Patent Citations (7)

* Cited by examiner, † Cited by third party
Title
CLASSIFICATION AND REGRESSION TREES, 1984, BREIMAN, L. et al., "WADSWORTH & BROOKS/COLE ADVANCE BOOKS AND SOFTWARE. *
COMMUNICATION OF THE ACM, Vol. 29, No. 4, (1986), STANFILL, C. et al., "Toward Memory-Based Reasoning", pp. 1213-1228. *
COMPUTER SYSTEMS THAT LEARN, 1991, WEISS, S.M. et al. *
MACHINE LEARNING, Vol. 1, No. 1, (1986), QUINLAN, J.R., "Induction of Decision Trees", pp. 81-106. *
MACHINE LEARNING, Vol. 3, No. 4, (1989), MINGERS, J., "An Empirical Comparison of Selection Measures for Decision-Tree Induction", pp. 319-342. *
MACHINE LEARNING, Vol. 4, No. 2, (1989), MINGERS, J., "An Empirical Comparison of Pruning Methods for Decision Tree Induction", pp. 227-243. *
NEAREST NEIGHBOR (NN) NORMS: NN PATTERN CLASSIFICATION TECHNIQUES, 1991, DASARATHY, B.V., IEEE Computer Society Press. *

Also Published As

Publication number Publication date
WO1992017853A2 (en) 1992-10-15
AU1791192A (en) 1992-11-02

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