WO2007143157A3 - Automatic weight generation for probabilistic matching - Google Patents

Automatic weight generation for probabilistic matching Download PDF

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Publication number
WO2007143157A3
WO2007143157A3 PCT/US2007/013049 US2007013049W WO2007143157A3 WO 2007143157 A3 WO2007143157 A3 WO 2007143157A3 US 2007013049 W US2007013049 W US 2007013049W WO 2007143157 A3 WO2007143157 A3 WO 2007143157A3
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WO
WIPO (PCT)
Prior art keywords
weights
probabilities
new
discrepancy
field
Prior art date
Application number
PCT/US2007/013049
Other languages
French (fr)
Other versions
WO2007143157A2 (en
Inventor
Scott Schumacher
Norman S Adams
Scott Ellard
Original Assignee
Initiate Systems Inc
Scott Schumacher
Norman S Adams
Scott Ellard
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 Initiate Systems Inc, Scott Schumacher, Norman S Adams, Scott Ellard filed Critical Initiate Systems Inc
Priority to AU2007254820A priority Critical patent/AU2007254820B2/en
Priority to EP07795659A priority patent/EP2030134A4/en
Publication of WO2007143157A2 publication Critical patent/WO2007143157A2/en
Publication of WO2007143157A3 publication Critical patent/WO2007143157A3/en

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Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24Querying
    • G06F16/245Query processing
    • G06F16/2455Query execution
    • G06F16/24553Query execution of query operations
    • G06F16/24554Unary operations; Data partitioning operations
    • G06F16/24556Aggregation; Duplicate elimination

Abstract

Embodiments of the invention provide a system and method of automatically generating weights for matching data records. Each field of a record may be compared by an exact match and/or close matches and each comparison can result in a mathematical score which is the sum of the field comparisons. To sum up the field scores accurately, the automatic weight generation process comprises an iterative process. In one embodiment, initial weights are computed based upon unmatched-set probabilities and default discrepancy weights associated with attributes in the comparison algorithm. A bulk cross-match is performed across the records using the initial weights and a candidate matched set is computed for updating the discrepancy probabilities. New weights are computed based upon the unmatched probabilities and the updated discrepancy probabilities. Test for convergence between the new weights and the old weights. Repeat with the new weight table until the weights converge to their final value.
PCT/US2007/013049 2006-06-02 2007-06-01 Automatic weight generation for probabilistic matching WO2007143157A2 (en)

Priority Applications (2)

Application Number Priority Date Filing Date Title
AU2007254820A AU2007254820B2 (en) 2006-06-02 2007-06-01 Automatic weight generation for probabilistic matching
EP07795659A EP2030134A4 (en) 2006-06-02 2007-06-01 A system and method for automatic weight generation for probabilistic matching

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US81039606P 2006-06-02 2006-06-02
US60/810,396 2006-06-02

Publications (2)

Publication Number Publication Date
WO2007143157A2 WO2007143157A2 (en) 2007-12-13
WO2007143157A3 true WO2007143157A3 (en) 2008-10-02

Family

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Family Applications (1)

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PCT/US2007/013049 WO2007143157A2 (en) 2006-06-02 2007-06-01 Automatic weight generation for probabilistic matching

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US (2) US8332366B2 (en)
EP (1) EP2030134A4 (en)
AU (1) AU2007254820B2 (en)
WO (1) WO2007143157A2 (en)

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