Merve Unuvar from 22 Bayard St, Boston, MA 02134

Training Decision Support Systems From Business Process Execution Traces That Contain Repeated Tasks
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US Patent:

20140067732, Mar 6, 2014
Filed:

Sep 6, 2012
Appl. No.:

13/605723
Inventors:

GEETIKA TEWARI LAKSHMANAN - Cambridge MA, US
MERVE UNUVAR - Cambridge MA, US
Assignee:

INTERNATIONAL BUSINESS MACHINES CORPORATION - Armonk NY
International Classification:

G06F 15/18
US Classification:

706 12
Abstract:

A method for training a machine learning tool to generate a prediction in a business process includes receiving a business process model corresponding to the business process, the business process model including a plurality of tasks, identifying a cycling set at a decision point in the business process model, wherein the cycling set comprises at least one task that the business process model iterates through, and building a training table by determining a total number of sub-traces and a total number of variables from a plurality of execution traces of the business process model based on the cycling set identified at the decision point, wherein a new row of the training table is created for each of the sub-traces and a new column of the training table is created for each of the variables.

Leveraging Path Information To Generate Predictions For Parallel Business Processes
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US Patent:

20150324241, Nov 12, 2015
Filed:

May 6, 2014
Appl. No.:

14/271132
Inventors:

- Armonk NY, US
Yurdaer N. Doganata - Chesnut Ridge NY, US
Geetika T. Lakshmanan - Winchester MA, US
Merve Unuvar - New York NY, US
Assignee:

INTERNATIONAL BUSINESS MACHINES CORPORATION - Armonk NY
International Classification:

G06F 9/52
Abstract:

Systems and methods for determining a representation of an execution trace include identifying at least one execution trace of a business process model, the business process model including parallel paths where a path influences an outcome of a decision. Path information of the business process model is determined using a processor, the path information including at least one of task execution order for each parallel path, task execution order across parallel paths, and dependency between parallel paths. A path representation for the at least one execution trace is selected based upon the path information to determine a representation of the at least one execution trace.

Merve Unuvar