International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Since Year 2012 | Open Access | Double Blind Reviewed

ISSN: 2319-7064


Downloads: 37 | Weekly Hits: ⮙1 | Monthly Hits: ⮙1

Research Paper | Computer Engineering | India | Volume 10 Issue 4, April 2021


Database Failure Prediction Based on Deep Learning Model

Siva Karthick Chaganty [2]


Abstract: Effective management of the database plays an important role in the development of the grid business and the reduction of operation and maintenance costs. For the oracle database, there are many factors affecting its performance. It is difficult for the oracle database to predict possible problems with the common method. This paper proposes an analysis strategy based on oracle AWR report. By introducing a self-encoding deep learning model to construct a database failure prediction mechanism. The experiment shows that the failure prediction model of this method has better prediction performance than the prediction algorithm with omitted feature learning.


Keywords: Self-encoding, deep learning model, Database failures, prediction performance


Edition: Volume 10 Issue 4, April 2021,


Pages: 83 - 86


How to Download this Article?

You Need to Register Your Email Address Before You Can Download the Article PDF


How to Cite this Article?

Siva Karthick Chaganty, "Database Failure Prediction Based on Deep Learning Model", International Journal of Science and Research (IJSR), Volume 10 Issue 4, April 2021, pp. 83-86, https://www.ijsr.net/get_abstract.php?paper_id=SR21329110526

Similar Articles with Keyword 'deep learning model'

Downloads: 0

Research Paper, Computer Engineering, India, Volume 11 Issue 6, June 2022

Pages: 467 - 471

Performance Evaluation of Machine Learning on Forest Fire

Sonia Christy | Dr. Clara Shanthi D.

Share this Article

Downloads: 0

Masters Thesis, Computer Engineering, India, Volume 11 Issue 10, October 2022

Pages: 641 - 647

Henry Gas Solubility Optimization with Deep Learning Model for Crop Yield Prediction and Crop Type Classification

P. S. S. Gopi | Dr. M. Karthikeyan

Share this Article
Top