1
James Kraemer Ph.D.
Robert R Friedlander, Richard A Hennessy, James R Kraemer: System and method for deriving a hierarchical event based database optimized for analysis of criminal and security information. International Business Machines Corporation, Yee & Associates P C, John R Pivnichny, July 6, 2010: US07752154 (57 worldwide citation)

A computer implemented method, apparatus, and computer usable program code for inferring a probability of a first inference absent from a database at which a query regarding the inference is received. Each datum of the database is conformed to the dimensions of the database. Each datum of the plural ...


2
James Kraemer Ph.D.
Robert Lee Angell, Robert R Friedlander, James R Kraemer: Automatic generation of new rules for processing synthetic events using computer-based learning processes. International Business Machines Corporation, Yee & Associates P C, John R Pivnichny, November 8, 2011: US08055603 (53 worldwide citation)

A computer implemented method. A first synthetic event is received. The first synthetic event is derived from a first cohort comprising a first set of data and a second cohort comprising a second set of data. The first synthetic event comprises a third set of data representing a result of a mathemat ...


3
James Kraemer Ph.D.
Robert R Friedlander, James R Kraemer: Inference of anomalous behavior of members of cohorts and associate actors related to the anomalous behavior. International Business Machines Corporation, Yee & Associates P C, September 28, 2010: US07805391 (50 worldwide citation)

Inferring a probability of a first inference absent from a database at which a query regarding the inference is received. The first inference relates to identifying anomalous behavior of cohorts members, which identification can be used to identify crimes that are particularly difficult to detect, s ...


4
James Kraemer Ph.D.
Robert R Friedlander, Richard Hennessy, James R Kraemer: System and method for optimizing federated and ETLd databases having multidimensionally constrained data. International Business Machines Corporation, John R Pivnichny, Law Office of Jim Boice, April 21, 2009: US07523118 (48 worldwide citation)

Method, system, and program product for configuring and using a federated database management system. The design of the metadata and queries includes the steps of first determining schema and metadata configurations of the data source servers. The next step is enumerating available resources, and en ...


5
James Kraemer Ph.D.
Robert R Friedlander, Jay A Goodwyn, James R Kraemer, Anthony W Young: System and method for the longitudinal analysis of education outcomes using cohort life cycles, cluster analytics-based cohort analysis, and probabilistic data schemas. International Business Machines Corporation, Yee & Associates P C, John R Pivnichny, April 19, 2011: US07930262 (46 worldwide citation)

A computer implemented method, computer program product, and data processing system for performing analysis on a plurality of data stored in a database. In an illustrative method, a first cohort is generated from the plurality of data. An optimal control cohort is generated from the plurality of dat ...


6
James Kraemer Ph.D.
Robert R Friedlander, Richard A Hennessy, James R Kraemer: System and method for deriving a hierarchical event based database optimized for analysis of biological systems. International Business Machines Corporation, Yee & Associates P C, John R Pivnichny, August 24, 2010: US07783586 (46 worldwide citation)

A computer implemented method, apparatus, and computer usable program code for inferring a probability of a first inference absent from a database at which a query regarding the inference is received. Each datum of the database is conformed to the dimensions of the database. Each datum of the plural ...


7
James Kraemer Ph.D.
Robert Friedlander, Richard Hennessy, James R Kraemer: System and method for semantic normalization of healthcare data to support derivation conformed dimensions to support static and aggregate valuation across heterogeneous data sources. International Business Machines Corporation, John R Pivnichny, Law Office of Jim Boice, September 7, 2010: US07792783 (45 worldwide citation)

A computer implemented method, apparatus, and computer usable program code for determining aggregate values of health data items from heterogeneously coded databases containing heterogeneously coded medical data. The data, in heterogeneous databases, is queried using a series of semantic layers incl ...


8
James Kraemer Ph.D.
Robert R Friedlander, Richard A Hennessy, James R Kraemer: System and method for deriving a hierarchical event based database optimized for analysis of chaotic events. International Business Machines Corporation, Yee & Associates P C, John R Pivnichny, September 7, 2010: US07792774 (44 worldwide citation)

A computer implemented method, apparatus, and computer usable program code for inferring a probability of a first inference absent from a database at which a query regarding the inference is received. Each datum of the database is conformed to the dimensions of the database. Each datum of the plural ...


9
James Kraemer Ph.D.
Robert R Friedlander, Richard A Hennessy, James R Kraemer, John Baxter Rollins: System and method to optimize control cohorts using clustering algorithms. International Business Machines Corporation, Yee & Associates P C, John R Pivnichny, October 5, 2010: US07809660 (44 worldwide citation)

A computer implemented method, apparatus, and computer usable program code for automatically selecting an optimal control cohort. Attributes are selected based on patient data. Treatment cohort records are clustered to form clustered treatment cohorts. Control cohort records are scored to form poten ...


10
James Kraemer Ph.D.
Robert L Angell, Robert R Friedlander, James R Kraemer: Synthetic events for real time patient analysis. International Business Machines Corporation, Yee & Associates P C, John R Pivnichny, March 27, 2012: US08145582 (42 worldwide citation)

Generating synthetic events based on a vast amount of data. First and second data are received. The first data is organized into a first cohort. The second data is organized into a second cohort. The first cohort and the second cohort are processed to generate a synthetic event. The synthetic event ...



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