Data processing: database and file management or data structures – Database design – Data structure types
Reexamination Certificate
2008-07-22
2008-07-22
Truong, Cam Y T (Department: 2162)
Data processing: database and file management or data structures
Database design
Data structure types
C707S793000, C707S793000, C707S793000, C707S793000, C707S793000
Reexamination Certificate
active
07403942
ABSTRACT:
Disclosed herein are various exemplary systems and methods for linking entity references to entities and identifying associations between entities. In particular, a method for identifying an entity from a plurality of entity references, each entity reference being linked with a separate ghost entity, is provided. The method comprises the steps of comparing an entity reference of a first ghost entity with an entity reference of a second ghost entity to determine a match probability between the entity reference of the first ghost entity and the entity reference of the second ghost entity, linking the entity reference of the first ghost entity additionally with the second ghost entity and the entity reference of the second ghost entity additionally with the first ghost entity when the match probability is greater than or equal to a match threshold and repeating the steps of comparing and linking for one or more ghost entity pairings possible from the ghost entities. The method further comprises determining, for one or more entity references linked to a ghost entity, a score for the entity reference based at least in part on a match probability between the entity reference and a value representing the one or more entity references linked to the ghost entity and identifying the ghost entity as an actual entity based at least in part on one or more scores for the one or more entity references linked to the ghost entity.
REFERENCES:
patent: 4543630 (1985-09-01), Neches
patent: 4860201 (1989-08-01), Stolfo et al.
patent: 4870568 (1989-09-01), Kahle et al.
patent: 4925311 (1990-05-01), Neches et al.
patent: 5006978 (1991-04-01), Neches
patent: 5276899 (1994-01-01), Neches
patent: 5303383 (1994-04-01), Neches et al.
patent: 5423037 (1995-06-01), Hvasshovd
patent: 5471622 (1995-11-01), Eadline
patent: 5495606 (1996-02-01), Borden et al.
patent: 5551027 (1996-08-01), Choy et al.
patent: 5555404 (1996-09-01), Torbjømsen et al.
patent: 5655080 (1997-08-01), Dias et al.
patent: 5732400 (1998-03-01), Mandler et al.
patent: 5745746 (1998-04-01), Jhingran et al.
patent: 5878408 (1999-03-01), Van Huben et al.
patent: 5884299 (1999-03-01), Ramesh et al.
patent: 5897638 (1999-04-01), Lasser et al.
patent: 5983228 (1999-11-01), Kobayashi et al.
patent: 6006249 (1999-12-01), Leong
patent: 6026394 (2000-02-01), Tsuchida et al.
patent: 6081801 (2000-06-01), Cochrane et al.
patent: 6266804 (2001-07-01), Isman
patent: 6311169 (2001-10-01), Duhon
patent: 6427148 (2002-07-01), Cossock
patent: 6658412 (2003-12-01), Jenkins et al.
Eike Schallehn et al., “Advanced Grouping and Aggregation for Data Integration,” Department of Computer Science, Paper ID: 222, pp. 1-16.
Vincent Coppola, “Killer APP,” Men's Journal, vol. 12, No. 3, Apr. 2003, pp. 86-90.
Eike Schallehn et al., “Extensible and Similarity-based Grouping for Data Integration,” Department of Computer Science, pp. 1-17.
Rohit Ananthakrishna et al., “Eliminating Fuzzy Duplicates in Data Warehouses,” 12 pages.
Peter Christen et al., “Parallel Computing Techniques for High-Performance Probabilistic Record Linkage,” Data Mining Group, Australian National University, Epidemiology and Surveillance Branch, Project web page: http://datamining.anu.edu.au/linkage.html, 2002, pp. 1-11.
Peter Christen et al., “Parallel Techniques for High-Performance Record Linkage (Data Matching),” Data Mining Group, Australian National University, Epidemiology and Surveillance Branch, Project web page: http://datamining.anu.edu.au/linkage.html, 2002, pp. 1-27.
Peter Christen et al., “High-Performance Computing Techniques for Record Linkage,” Data Mining Group, Australian National University, Epidemiology and Surveillance Branch, Project web page: http://datamining.anu.edu.au/linkage.html, 2002, pp. 1-14.
William E. Winkler, “Matching And Record Linkage,” U.S. Bureau of the Census, pp. 1-38.
Peter Christen et al., “High-Performance Computing Techniques for Record Linkage,” ANU Data Mining Group, Australian National University, Epidemiology and Surveillance Branch, Project web page: http://datamining.anu.edu.au/linkage.html, pp. 1-11.
William E. Winkler, “The State of Record Linkage and Current Research Problems,” U.S. Bureau of the Census, 15 pages.
William E. Winkler, “Advanced Methods For Record Linkage,” Bureau of the Census, pp. 1-21.
William E. Winkler, Frequency-Based Matching in Fellegi-Sunter Model of Record Linkage, Bureau Of The Census Statistical Research Division, Oct. 4, 2000, 14 pages.
William E. Winkler, “State of Statistical Data Editing And Current Research Problems,” Bureau Of The Census Statistical Research Division, 10 pages.
The First Open ETL/EAI Software For The Real-Time Enterprise, Sunopsis, A New Generation ETL Tool, “Sunopsis™ v3 expedites integration between heterogeneous systems for Data Warehouse, Data Mining, Business Intelligence, and OLAP projects,” <www.suopsis.com>, 6 pages.
Alan Dumas, “The ETL Market and Sunopsis™ v3 Business Intelligence, Data Warehouse & Datamart Projects,” 2002, Sunopsis, pp. 1-7.
Teradata Warehouse Solutions, “Teradata Database Technical Overview,” 2002, pp. 1-7.
WhiteCross White Paper, May 25, 2000, “wx/des-Technical Information,” pp. 1-36.
Teradata Alliance Solutions, “Teradata and Ab Initio,” pp. 1-2.
Peter Christen et al., The Australian National University, “Febrl—Freely extensible biomedical record linkage,” Oct. 2002, pp. 1-67.
William E. Winkler, “Using the EM Algorithim for Weight Computation in the Fellegi-Sunter Model of Record Linkage,” Bureau Of The Census Statistical Research Division, Oct. 4, 2000, 12 pages.
William E. Winkler et al., “An Application Of The Fellegi-Sunter Model Of Record Linkage To The 1990 U.S. Decennial Census,” U.S. Bureau of the Census, pp. 1-22.
William E. Winkler, “Improved Decision Rules In The Fellegi-Sunter Model Of Record Linkage,” Bureau of the Census, pp. 1-13.
Fritz Scheuren et al., “Recursive Merging and Analysis of Administrative Lists and Data,” U.S. Bureau of the Census, 9 pages.
William E. Winkler, “Record Linkage Software and Methods for Merging Administrative Lists,” U.S. Bureau of the Census, Jul. 7, 2001, 11 pages.
Enterprises, Publishing and Broadcasting Limited, Acxiom-Abilitec, pp. 44-45.
TransUnion, Credit Reporting System, Oct. 9, 2002, 4 pages, <http://www.transunion.com/content/page.jsp?id=/transunion/general/data/business/BusCre...>.
TransUnion, ID Verification & Fraud Detection, Account Acquisition, Account Management, Collection & Location Services, Employment Screening, Risk Management, Automotive, Banking-Savings & Loan, Credit Card Providers, Credit Unions, Energy & Utilities, Healthcare, Insurance, Investment, Real Estate, Telecommunications, Oct. 9, 2002, 46 pages, <http://www.transunion.com>.
White Paper An Introduction to OLAP Multidimensional Terminology and Technology, 20 pages.
Hunton & Williams LLP
Seisint, Inc.
Truong Cam Y T
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