P. S. V. S. Sai Prasad

According to our database, P. S. V. S. Sai Prasad authored at least 32 papers between 2003 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

Approaches for coarsest granularity based near-optimal reduct computation.

Abhimanyu Bar, P. S. V. S. Sai Prasad

Appl. Intell., February, 2023

Scalable Centroid Based Fuzzy Min-Max Neural Network Ensemble Classifier Using MapReduce.

Vadlamudi Aadarsh, P. S. V. S. Sai Prasad

Proceedings of the Pattern Recognition and Machine Intelligence, 2023

2022

Enhancing the scalability of fuzzy rough set approximate reduct computation through fuzzy min-max neural network and crisp discernibility relation formulation.

Anil Kumar, P. S. V. S. Sai Prasad

Eng. Appl. Artif. Intell., 2022

Scalable mRMR feature selection to handle high dimensional datasets: Vertical partitioning based Iterative MapReduce framework.

Yelleti Vivek, P. S. V. S. Sai Prasad

CoRR, 2022

MapReduce based parallel fuzzy-rough attribute reduction using discernibility matrix.

Pandu Sowkuntla, P. S. V. S. Sai Prasad

Appl. Intell., 2022

2021

MapReduce based parallel attribute reduction in Incomplete Decision Systems.

Pandu Sowkuntla, Sravya Dunna, P. S. V. S. Sai Prasad

Knowl. Based Syst., 2021

Incremental fuzzy rough sets based feature subset selection using fuzzy min-max neural network preprocessing.

Anil Kumar, P. S. V. S. Sai Prasad

Int. J. Approx. Reason., 2021

Stateful MapReduce Framework for mRMR Feature Selection Using Horizontal Partitioning.

Vivek Yelleti, P. S. V. S. Sai Prasad

Proceedings of the Pattern Recognition and Machine Intelligence, 2021

2020

Scalable Fuzzy Rough Set Reduct Computation Using Fuzzy Min-Max Neural Network Preprocessing.

Anil Kumar, P. S. V. S. Sai Prasad

IEEE Trans. Fuzzy Syst., 2020

MapReduce based improved quick reduct algorithm with granular refinement using vertical partitioning scheme.

Pandu Sowkuntla, P. S. V. S. Sai Prasad

Knowl. Based Syst., 2020

2019

Fuzzy Rough Discernibility Matrix Based Feature Subset Selection With MapReduce.

Neeli Lakshmi Pavani, Pandu Sowkuntla, K. Swarupa Rani, P. S. V. S. Sai Prasad

Proceedings of the TENCON 2019, 2019

Finding Optimal Rough Set Reduct with A* Search Algorithm.

Abhimanyu Bar, Anil Kumar, P. S. V. S. Sai Prasad

Proceedings of the Pattern Recognition and Machine Intelligence, 2019

MR_IMQRA: An Efficient MapReduce Based Approach for Fuzzy Decision Reduct Computation.

Kiran Bandagar, Pandu Sowkuntla, Salman Abdul Moiz, P. S. V. S. Sai Prasad

Proceedings of the Pattern Recognition and Machine Intelligence, 2019

Hybridization of Fuzzy Min-Max Neural Networks with kNN for Enhanced Pattern Classification.

Anil Kumar, P. S. V. S. Sai Prasad

Proceedings of the Advances in Computing and Data Sciences, 2019

2018

Hashing Supported Iterative MapReduce Based Scalable SBE Reduct Computation.

U. Venkata Divya, P. S. V. S. Sai Prasad

Proceedings of the Distributed Computing and Internet Technology, 2018

2017

Third Order Backward Elimination Approach for Fuzzy-Rough Set Based Feature Selection.

Soumen Ghosh, P. S. V. S. Sai Prasad, C. Raghavendra Rao

Proceedings of the Pattern Recognition and Machine Intelligence, 2017

Scalable MapReduce-based Fuzzy Min-Max Neural Network for Pattern Classification.

Shashikant Ilager, P. S. V. S. Sai Prasad

Proceedings of the 18th International Conference on Distributed Computing and Networking, 2017

Scalable IQRA_IG Algorithm: An Iterative MapReduce Approach for Reduct Computation.

P. S. V. S. Sai Prasad, H. Bala Subrahmanyam, Praveen Kumar Singh

Proceedings of the Distributed Computing and Internet Technology, 2017

2016

An Efficient Gaussian Kernel Based Fuzzy-Rough Set Approach for Feature Selection.

Soumen Ghosh, P. S. V. S. Sai Prasad, C. Raghavendra Rao

Proceedings of the Multi-disciplinary Trends in Artificial Intelligence, 2016

Scalable Quick Reduct Algorithm: Iterative MapReduce Approach.

Praveen Kumar Singh, P. S. V. S. Sai Prasad

Proceedings of the 3rd IKDD Conference on Data Science, 2016

2014

An Efficient Approach for Fuzzy Decision Reduct Computation.

P. S. V. S. Sai Prasad, C. Raghavendra Rao

Trans. Rough Sets, 2014

Non-persistent stratified sampling based IQRA_IG for scalable reduct generation.

P. S. V. S. Sai Prasad, C. Raghavendra Rao

Int. J. Granul. Comput. Rough Sets Intell. Syst., 2014

A New Preprocessor to Fuzzy c-Means Algorithm.

Raveen S., P. S. V. S. Sai Prasad, Chillarige Raghavendra Rao

Proceedings of the Multi-disciplinary Trends in Artificial Intelligence, 2014

2013

Seed based fuzzy decision reduct for hybrid decision systems.

P. S. V. S. Sai Prasad, C. Raghavendra Rao

Proceedings of the FUZZ-IEEE 2013, 2013

2012

Scalable Improved Quick Reduct: Sample Based.

P. S. V. S. Sai Prasad, C. Raghavendra Rao

Proceedings of the Rough Sets and Knowledge Technology - 7th International Conference, 2012

Novel Granular Framework for Attribute Reduction in Incomplete Decision Systems.

P. S. V. S. Sai Prasad, Chillarige Raghavendra Rao

Proceedings of the Multi-disciplinary Trends in Artificial Intelligence, 2012

2011

Incremental Learning in AttributeNets with Dynamic Reduct and IQuickReduct.

P. S. V. S. Sai Prasad, K. Hima Bindu, C. Raghavendra Rao

Proceedings of the Rough Sets and Knowledge Technology - 6th International Conference, 2011

Extensions to IQuickReduct.

P. S. V. S. Sai Prasad, Chillarige Raghavendra Rao

Proceedings of the Multi-disciplinary Trends in Artificial Intelligence, 2011

2010

Impact analysis of Jensen and Sk pal fuzzification in classification.

Rama Devi Yellasiri, P. Venu Gopal, P. S. V. S. Sai Prasad

Proceedings of the 1st Amrita ACM-W Celebration on Women in Computing in India, 2010

Hybrid decision tree based on inferred attribute.

K. Hima Bindu, P. S. V. S. Sai Prasad, C. Raghavendra Rao

Proceedings of the 1st Amrita ACM-W Celebration on Women in Computing in India, 2010

2009

IQuickReduct: An Improvement to Quick Reduct Algorithm.

P. S. V. S. Sai Prasad, C. Raghavendra Rao

Proceedings of the Rough Sets, 2009

2003

Speech Recognition of Isolated Telugu Vowels Using Neural Networks.

P. S. V. S. Sai Prasad, P. N. Girija

Proceedings of the 1st Indian International Conference on Artificial Intelligence, 2003