Automated entity identification for efficient profiling in an event probability prediction system

A computer-implemented method and system for automated entity identification for efficient profiling in an event probability prediction system. A first subset of entities belonging to one or more entity classes is defined. At least one historical profile is constructed for each entity in the subset...

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Main Authors Vaiciulis, Anthony, Peranich, Larry, Mayer, Uwe, Zoldi, Scott, De Zilwa, Shane
Format Patent
LanguageEnglish
Published 21.02.2012
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Abstract A computer-implemented method and system for automated entity identification for efficient profiling in an event probability prediction system. A first subset of entities belonging to one or more entity classes is defined. At least one historical profile is constructed for each entity in the subset of entities based on a set of possible outcomes of transaction behavior of each entity in the first subset of entities. Based on the historical profiles, a second subset of entities having transaction behavior associated with a transaction is selected, the transaction behavior being predictive of at least one targeted outcome from the set of possible outcomes. The first subset of entities is redefined with the second subset of entities.
AbstractList A computer-implemented method and system for automated entity identification for efficient profiling in an event probability prediction system. A first subset of entities belonging to one or more entity classes is defined. At least one historical profile is constructed for each entity in the subset of entities based on a set of possible outcomes of transaction behavior of each entity in the first subset of entities. Based on the historical profiles, a second subset of entities having transaction behavior associated with a transaction is selected, the transaction behavior being predictive of at least one targeted outcome from the set of possible outcomes. The first subset of entities is redefined with the second subset of entities.
Author Mayer, Uwe
De Zilwa, Shane
Zoldi, Scott
Peranich, Larry
Vaiciulis, Anthony
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References Text generation from Taiwanese sign language using a PST-based language model for augmentative communication, Chung-Hsien Wu; Yu-Hsien Chiu; Chi-Shiang Guo; Neural Systems and Rehabilitation Engineering, IEEE Transactions on vol. 12 , Issue: 4 Digital Object Identifier: 10.1109/TNSRE.2003.819930 Publication Year: 2004 , pp. 441-454.
Horvitz (7831532) 20101100
Liao et al. (7966256) 20110600
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