Yan Quing Lin

US Patent:

20150178645, Jun 25, 2015

Filed:

Aug 6, 2014

Appl. No.:

14/452946

Inventors:

- Short Hills NJ, US
Yan LIN - New Providence NJ, US
Paul Douglas BALLEW - Madison NJ, US
Nipa BASU - Bridgewater NJ, US
Anjali REDDI - Martinsville NJ, US
Robin Fry DAVIES - Macungie PA, US
Alla KRAMSKAIA - Edison NJ, US
Brian Scott CRIGLER - Westfield NJ, US
Guang YANG - Short Hills, CN

International Classification:

G06Q 10/06

Abstract:

There is provided a method that includes (a) examining records that describe transactions between entities, (b) constructing, in a database, a data structure that represents a relationship network, based on the transactions, where the relationship network represents (i) a first entity and (ii) a second entity that is separated from the first entity by N tiers, and where N is a whole number greater than or equal to 1, and (c) calculating a relevance of the second entity to the first entity as a function of, i.e., based on, a characteristic of the second entity. There is also provided a system that performs the method, and a storage medium that contains instructions for controlling a processor to perform the method.

US Patent:

20150032513, Jan 29, 2015

Filed:

Jun 10, 2014

Appl. No.:

14/300315

Inventors:

- Short Hills NJ, US
Nipa BASU - Bridgewater NJ, US
Anthony J. SCRIFFIGNANO - West Caldwell NJ, US
Warwick R. MATTHEWS - Madison NJ, US
Yiem SUNBHANICH - Lewis Center OH, US
John M. NICODEMO - Bethlehem PA, US
Bradley WHITE - Easton PA, US
Alla KRAMSKAIA - Edison NJ, US
Brian S. CRIGLER - Westfield NJ, US
Xin YUAN - Basking Ridge NJ, US
Robin DAVIES - Macungie PA, US
Kathleen WACHHOLZ - Nazareth PA, US
Sumanta MUKHERJEE - Edison NJ, US
Yan LIN - New Providence NJ, US
Paul CHIN - Whippany NJ, US
Don FOLK - Quakertown PA, US

International Classification:

G06Q 10/06

US Classification:

705 737

Abstract:

A system and method for deriving a material change attribute over time to predict a future change in at least one predictor, the method comprising: collecting precursor data from at least one data source; processing the precursor data by assessing at least one characteristic of the precursor data; generating at least one material change signal from the processed precursor data; evaluating the material change signal to determine the signal's value in predicting future changes in the predictor and, optionally, reverting to the collection and processing steps above to process additional precursor data; and generating at least one the material change attribute from the evaluated material change signal.