PREDICTING OUTCOMES OF A CONTENT DRIVEN PROCESS INSTANCE EXECUTION

Patent №

US 8,589,331

Granted

2013-11-19

Filed 2010

Owner

INTERNATIONAL BUSINESS MACHINES CORPORATION

AI components

5

ml · nlp · kr · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

12910573

A method for predictive analytics in a semi-structured process including receiving traces of the semi-structured process, at least one of the traces including a document content value, determining a process model from the traces, the process model comprising tasks at nodes of the semi-structured process and embodies all possible execution sequences in the process, determining a probabilistic graph including a probability at each of the tasks of the semi-structured process advancing from one task to another task, and combining the process model and probabilistic graph to determine a probabilistic process model including probabilities and strengths of transitions between tasks.

AI classification

Natural language1.00
Planning1.00
AI hardware1.00
Machine learning0.91
Knowledge representation0.69
Evolutionary computation0.12
Vision0.01
Speech0.00

Ownership

INTERNATIONAL BUSINESS MACHINES CORPORATION

assignment · 254800243

Assignors

DUAN, SONGYUN, KEYSER, PAUL T., KHALAF, RANIA, LAKSHMANAN, GEETIKA T., SHAMSI, DAVOOD

On an employer assignment, the assignors are typically the inventors.

From the same owner

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