Structural Event Detection from Log Messages

Aug 1, 2017·
Pranay Anchuri
Pranay Anchuri
· 0 min read
Abstract
We present a method for detecting structural events in log message streams. The approach models log data to identify event patterns without requiring prior domain knowledge, enabling scalable analysis of heterogeneous log sources.
Type
Publication
In Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
publications
Log Analytics Anomaly Detection Data Mining
Pranay Anchuri
Authors
Pranay Anchuri
Senior Research Scientist
Pranay Anchuri is a Senior Research Scientist at Offchain Labs. His research spans blockchain protocols, verifiable computation, and machine learning applied to decentralized systems. He has published at top venues including KDD, JMLR, and ICDM, and is an inventor on seven US patents. He holds a PhD in Computer Science from Rensselaer Polytechnic Institute.