Xerox Corporation

Changjun Wu

Gueyoung Jung

Tong Sun

Shanmuga-Nathan Gnanasambandam

Hua Liu

Shi Zhao

Methods and systems of performing data mining may include receiving a plurality of web log records and a plurality of call log records; associating one or more web log records with a call log record, wherein the associated user for each of the associated one or more web log records and the call log record are the same; identifying one or more patterns among the web log records for the plurality of call log records, wherein each pattern comprises one or more web accesses, a time stamp at which each of the one or more web accesses is performed and the call topic for the call log record; identifying one or more web log records associated with a new call, and predicting a call topic for the new call based on at least one pattern and the one or more web log records.

Systems and methods for behavioral pattern mining

The present invention generally relates to systems and methods for identifying a workflow, from a set of workflows, that best match a given query partial workflow. In addition to identifying the best match, the systems and methods can identify the portion of the workflow that best matches the query partial workflow.

Systems and methods for partial workflow matching

A method, non-transitory computer readable medium, and apparatus for large-scale web community detection using a graphical processing unit (GPU) are disclosed. For example, the method receives an input graph formatted into one or more first adjacency lists from a central processing unit (CPU), performs a first level shingling on the one or more first adjacency lists, sends the first level shingling to the CPU to generate an aggregate graph based upon the first level shingling, receives the aggregate graph formatted into one or more second adjacency lists from the CPU, performs a second level shingling on the one or more second adjacency lists and sends the second level shingling to the CPU to generate a dense sub-graph that identifies one or more web communities.

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Rochester, NY, United States of America

Changjun Wu