Hewlett-packard Development Company, L.P.

Mad Street Den, Inc.

Aravindakshan B

Niranjan Damera Venkata

Anton Wiranata

Hariharan Chandrasekaran

Sudarshan B

Prasad Hegde

Example techniques for processing service notes are described. In an example, labeled service notes, associated with fuser units of a plurality of image rendering devices, are processed to generate a vector corresponding to each of the labeled service notes, a labeled service note comprising natural language text describing an error event and a corresponding service activity associated with a fuser unit, wherein the labeled service note is assigned a label based on a category of failure of the fuser unit. Based on the processing, a relationship between vectors and labels corresponding to the labeled service notes is generated.

Processing service notes

An optimized and efficient method of identifying one or more points within a dataset that are close to the centers of clumps similar records in a large, multi-element dataset uses Monte Carlo techniques to compute approximate clustering costs at significantly reduced computational expense. The inaccuracy caused by the approximate methods is also estimated, and if it is too high, the method may be repeated with a larger Monte Carlo sample size to improve accuracy.

Method and system for efficient clustering of combined numeric and qualitative data records

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Chennai, India

Aravindakshan B