M. V. P. Chandra Sekhara Rao

According to our database, M. V. P. Chandra Sekhara Rao authored at least 8 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Deep Aspect-Sentinet: Aspect Based Emotional Sentiment Analysis Using Hybrid Attention Deep Learning Assisted BILSTM.

V. S. J. R. K. Padminivalli, M. V. P. Chandra Sekhara Rao

Int. J. Uncertain. Fuzziness Knowl. Based Syst., January, 2024

Sentiment based emotion classification in unstructured textual data using dual stage deep model.

V. S. J. R. K. Padminivalli, M. V. P. Chandra Sekhara Rao, Naga Sai Ram Narne

Multim. Tools Appl., 2024

2020

An integrated approach for mining closed and generator high utility itemsets.

Suneetha Merugula, M. V. P. Chandra Sekhara Rao

Int. J. Knowl. Based Intell. Eng. Syst., 2020

2019

An integrated approach to emotion recognition and gender classification.

K. Prasada Rao, M. V. P. Chandra Sekhara Rao, N. Hemanth Chowdary

J. Vis. Commun. Image Represent., 2019

Privacy preservation of data using crow search with adaptive awareness probability.

Jyothi Mandala, M. V. P. Chandra Sekhara Rao

J. Inf. Secur. Appl., 2019

2018

A Hybrid Approach for Privacy-Preserving Data Mining.

NagaPrasanthi Kundeti, M. V. P. Chandra Sekhara Rao, Nagaraju Devarakonda, Suresh Thommandru

Proceedings of the Advances in Computing and Data Sciences, 2018

2017

Decision Tree based Data Reconstruction for Privacy Preserving Classification Rule Mining.

Gadupudi Kalyani, M. V. P. Chandra Sekhara Rao, B. Janakiramaiah

Informatica (Slovenia), 2017

2016

Privacy-Preserving Association Rule Mining Using Binary TLBO for Data Sharing in Retail Business Collaboration.

Gadupudi Kalyani, M. V. P. Chandra Sekhara Rao, B. Janakiramaiah

Proceedings of the 5th International Conference on Frontiers in Intelligent Computing: Theory and Applications, 2016