P. S. V. S. Sai Prasad

37 papers B 1C 1Misc 3Journal 15Unranked 17

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A novel approach for shortest optimal reduct computation. Inf. Sci. G. Y. Phani Kumar, Abhimanyu Bar, P. S. V. S. Sai Prasad
2025	J	`jnl`	Diversity among multiple reducts computation with application to ensemble of classification model. Int. J. Approx. Reason. Abhimanyu Bar, Anil Kumar, G. Y. Phani Kumar, P. S. V. S. Sai Prasad
2025	J	`jnl`	Parallel attribute reduction in high-dimensional data: An efficient MapReduce strategy with fuzzy discernibility matrix. Appl. Soft Comput. Pandu Sowkuntla, P. S. V. S. Sai Prasad
2025	J	`jnl`	Scalable Feature Subset Selection With Fuzzy Rough Sets and Fuzzy Min-Max Neural Network in Hybrid Decision System. IEEE Trans. Fuzzy Syst. Anil Kumar, P. S. V. S. Sai Prasad
2025	J	`jnl`	Scalable Fuzzy Rough approximate reduct computation in hyperbox space. Appl. Soft Comput. Vadlamudi Aadarsh, Anil Kumar, P. S. V. S. Sai Prasad
2023	J	`jnl`	Approaches for coarsest granularity based near-optimal reduct computation. Appl. Intell. Abhimanyu Bar, P. S. V. S. Sai Prasad
2023	—	`conf`	Scalable Centroid Based Fuzzy Min-Max Neural Network Ensemble Classifier Using MapReduce. PReMI Vadlamudi Aadarsh, P. S. V. S. Sai Prasad
2022	J	`jnl`	Enhancing the scalability of fuzzy rough set approximate reduct computation through fuzzy min-max neural network and crisp discernibility relation formulation. Eng. Appl. Artif. Intell. Anil Kumar, P. S. V. S. Sai Prasad
2022	J	`jnl`	MapReduce based parallel fuzzy-rough attribute reduction using discernibility matrix. Appl. Intell. Pandu Sowkuntla, P. S. V. S. Sai Prasad
2022	J	`jnl`	Scalable mRMR feature selection to handle high dimensional datasets: Vertical partitioning based Iterative MapReduce framework. CoRR Yelleti Vivek, P. S. V. S. Sai Prasad
2021	J	`jnl`	Incremental fuzzy rough sets based feature subset selection using fuzzy min-max neural network preprocessing. Int. J. Approx. Reason. Anil Kumar, P. S. V. S. Sai Prasad
2021	J	`jnl`	MapReduce based parallel attribute reduction in Incomplete Decision Systems. Knowl. Based Syst. Pandu Sowkuntla, Sravya Dunna, P. S. V. S. Sai Prasad
2021	—	`conf`	Stateful MapReduce Framework for mRMR Feature Selection Using Horizontal Partitioning. PReMI Vivek Yelleti, P. S. V. S. Sai Prasad
2020	J	`jnl`	MapReduce based improved quick reduct algorithm with granular refinement using vertical partitioning scheme. Knowl. Based Syst. Pandu Sowkuntla, P. S. V. S. Sai Prasad
2020	J	`jnl`	Scalable Fuzzy Rough Set Reduct Computation Using Fuzzy Min-Max Neural Network Preprocessing. IEEE Trans. Fuzzy Syst. Anil Kumar, P. S. V. S. Sai Prasad
2019	—	`conf`	Finding Optimal Rough Set Reduct with A* Search Algorithm. PReMI (1) Abhimanyu Bar, Anil Kumar, P. S. V. S. Sai Prasad
2019	C	`conf`	Fuzzy Rough Discernibility Matrix Based Feature Subset Selection With MapReduce. TENCON Neeli Lakshmi Pavani, Pandu Sowkuntla, K. Swarupa Rani, P. S. V. S. Sai Prasad
2019	—	`conf`	Hybridization of Fuzzy Min-Max Neural Networks with kNN for Enhanced Pattern Classification. ICACDS (1) Anil Kumar, P. S. V. S. Sai Prasad
2019	—	`conf`	MR_IMQRA: An Efficient MapReduce Based Approach for Fuzzy Decision Reduct Computation. PReMI (1) Kiran Bandagar, Pandu Sowkuntla, Salman Abdul Moiz, P. S. V. S. Sai Prasad
2018	Misc	`conf`	Hashing Supported Iterative MapReduce Based Scalable SBE Reduct Computation. ICDCIT U. Venkata Divya, P. S. V. S. Sai Prasad
2017	Misc	`conf`	Scalable IQRA_IG Algorithm: An Iterative MapReduce Approach for Reduct Computation. ICDCIT P. S. V. S. Sai Prasad, H. Bala Subrahmanyam, Praveen Kumar Singh
2017	Misc	`conf`	Scalable MapReduce-based Fuzzy Min-Max Neural Network for Pattern Classification. ICDCN Shashikant Ilager, P. S. V. S. Sai Prasad
2017	—	`conf`	Third Order Backward Elimination Approach for Fuzzy-Rough Set Based Feature Selection. PReMI Soumen Ghosh, P. S. V. S. Sai Prasad, C. Raghavendra Rao
2016	—	`conf`	An Efficient Gaussian Kernel Based Fuzzy-Rough Set Approach for Feature Selection. MIWAI Soumen Ghosh, P. S. V. S. Sai Prasad, C. Raghavendra Rao
2016	—	`conf`	Scalable Quick Reduct Algorithm: Iterative MapReduce Approach. CODS Praveen Kumar Singh, P. S. V. S. Sai Prasad
2014	—	`conf`	A New Preprocessor to Fuzzy c-Means Algorithm. MIWAI Raveen S., P. S. V. S. Sai Prasad, Chillarige Raghavendra Rao
2014	J	`jnl`	An Efficient Approach for Fuzzy Decision Reduct Computation. Trans. Rough Sets P. S. V. S. Sai Prasad, C. Raghavendra Rao
2014	J	`jnl`	Non-persistent stratified sampling based IQRA_IG for scalable reduct generation. Int. J. Granul. Comput. Rough Sets Intell. Syst. P. S. V. S. Sai Prasad, C. Raghavendra Rao
2013	B	`conf`	Seed based fuzzy decision reduct for hybrid decision systems. FUZZ-IEEE P. S. V. S. Sai Prasad, C. Raghavendra Rao
2012	—	`conf`	Novel Granular Framework for Attribute Reduction in Incomplete Decision Systems. MIWAI P. S. V. S. Sai Prasad, Chillarige Raghavendra Rao
2012	—	`conf`	Scalable Improved Quick Reduct: Sample Based. RSKT P. S. V. S. Sai Prasad, C. Raghavendra Rao
2011	—	`conf`	Extensions to IQuickReduct. MIWAI P. S. V. S. Sai Prasad, Chillarige Raghavendra Rao
2011	—	`conf`	Incremental Learning in AttributeNets with Dynamic Reduct and IQuickReduct. RSKT P. S. V. S. Sai Prasad, K. Hima Bindu, C. Raghavendra Rao
2010	—	`conf`	Hybrid decision tree based on inferred attribute. A2CWiC K. Hima Bindu, P. S. V. S. Sai Prasad, C. Raghavendra Rao
2010	—	`conf`	Impact analysis of Jensen and Sk pal fuzzification in classification. A2CWiC Rama Devi Yellasiri, P. Venu Gopal, P. S. V. S. Sai Prasad
2009	—	`conf`	IQuickReduct: An Improvement to Quick Reduct Algorithm. RSFDGrC P. S. V. S. Sai Prasad, C. Raghavendra Rao
2003	—	`conf`	Speech Recognition of Isolated Telugu Vowels Using Neural Networks. IICAI P. S. V. S. Sai Prasad, P. N. Girija