I am currently a MS (by research) Student in Computer Science and Engineering Department of Indian Institute of Technology, Kharagpur. My broad area of research is Anomaly Detection, Data Mining. I am advised by Bivas Mitra and Niloy Ganguly . I am also a member of Complex Networks Research Group, IIT, Kharagpur.
|CS19001||Programming and Data structure lab|
My research interests are in the domain of log analytics , machine learning and data mining. Currently i am working on Anomaly detection from Event Log Empiricism.
In this project we aim to detect anomaly from a large scale systems using EMS (Event Message System) log . Also we plan to develop an automated early warning system to protect the system from failure.
Subhendu Khatuya, Jayanta Basak, Niloy Ganguly, Madhumita Bharde, Bivas Mitra, ADELE: Anomaly Detection from Event Log Empiricism , In Proceedings of IEEE International Conference on Computer Communications (INFOCOM), Honolulu, HI, USA, 15-19 April 2018 (Accepted) (Acceptance rate: 19.2%) PDF
Subhendu Khatuya, Ajay Bakhshi, Jayanta Basak, Niloy Ganguly, Bivas Mitra, GBTM: Graph Based Troubleshooting Method for Handling Customer Cases Using Storage System Log, The 22nd Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), Melbourne, Australia 2018 (Accepted) (Acceptance rate:17.79%)
Complex Network Research Group (CNeRG) LabRoom No: 205 Department of Computer Science and Engineering Indian Institute of Technology, Kharagpur mail: subha.cse143[AT] gmail [DOT] com