Adobe, Inc.

Harsh Rathi

Balaji Krishnamurthy

Shagun Sodhani

Nitin Goel

Manoj Awasthi

Kapil Malik

Suraj Satishkumar Sheth

Rohit Bajaj

In some embodiments, a processor accesses a metrics dataset, which includes metrics whose values indicate data network activity. The metrics dataset has segments. Each segment is a respective subset of the data items having a common feature. The processor identifies anomalous segments in the metrics dataset. Each anomalous segment has a segment trend that is different from a trend associated with the larger metrics dataset. The processor generates a data graph that includes nodes, which represent anomalous segments, and edges connecting the nodes. The processor applies weights to the edges. Each weight indicates (i) a similarity between a pair of anomalous segments represented by the nodes connected by the weighted edge and (ii) a relationship between the anomalous segments and the metrics dataset. The processor ranks the anomalous segments based on the applied weights and selects one or more segments with sufficiently high ranks.

Identifying significant anomalous segments of a metrics dataset

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Haryana, India

Harsh Rathi