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Anomaly detection in system log data using LSTM neural networks/

By:

Backar A

Material type: Text

Text

TextPublication details: Trivandrum: Department of Futures Studies, University of Kerala, 2021.Description: 40 pDDC classification:

MSc1 BAC

Other classification:

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Holdings
Item type	Current library	Home library	Collection	Call number	Status	Date due	Barcode
Dissertation	Dept. of Futures Studies 101	Dept. of Futures Studies	Thesis	MSc1 BAC (Browse shelf(Opens below))	Not For Loan		DFSMSc1

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Previous	MPhil97 GIN Knowledge management framework: a case study of service industry/	MPhil98 SWA Participatory irrigation management and farm development: a case study of Neyyar irrigation/	MPhil99 REN Impact of microfinance self help groups with special reference to corporation/	MSc1 BAC Anomaly detection in system log data using LSTM neural networks/	MSc10 RAG A comparative study on LSTM and XGBOOST for stock price prediction/	MSc11 SMR LSTM for prediction of futures trends in stock market: a comparison with Bayesian approach/	MSc12 GRE An analysis on stock market data using LSTM and autoregressive model/	Next

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