P. S. V. S. Sai Prasad

Publication Activity (10 Years)

Years Active: 2003-2023
Publications (10 Years): 20

Top Topics

Top Venues

Knowl. Based Syst.

Publications

Vadlamudi Aadarsh, P. S. V. S. Sai Prasad
Scalable Centroid Based Fuzzy Min-Max Neural Network Ensemble Classifier Using MapReduce. PReMI (2023)
Abhimanyu Bar, P. S. V. S. Sai Prasad
Approaches for coarsest granularity based near-optimal reduct computation. Appl. Intell. 53 (4) (2023)
Anil Kumar, P. S. V. S. Sai Prasad
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. 110 (2022)
Pandu Sowkuntla, P. S. V. S. Sai Prasad
MapReduce based parallel fuzzy-rough attribute reduction using discernibility matrix. Appl. Intell. 52 (1) (2022)
Yelleti Vivek, P. S. V. S. Sai Prasad
Scalable mRMR feature selection to handle high dimensional datasets: Vertical partitioning based Iterative MapReduce framework. CoRR (2022)
Anil Kumar, P. S. V. S. Sai Prasad
Incremental fuzzy rough sets based feature subset selection using fuzzy min-max neural network preprocessing. Int. J. Approx. Reason. 139 (2021)
Vivek Yelleti, P. S. V. S. Sai Prasad
Stateful MapReduce Framework for mRMR Feature Selection Using Horizontal Partitioning. PReMI (2021)
Pandu Sowkuntla, Sravya Dunna, P. S. V. S. Sai Prasad
MapReduce based parallel attribute reduction in Incomplete Decision Systems. Knowl. Based Syst. 213 (2021)
Pandu Sowkuntla, P. S. V. S. Sai Prasad
MapReduce based improved quick reduct algorithm with granular refinement using vertical partitioning scheme. Knowl. Based Syst. 189 (2020)
Anil Kumar, P. S. V. S. Sai Prasad
Scalable Fuzzy Rough Set Reduct Computation Using Fuzzy Min-Max Neural Network Preprocessing. IEEE Trans. Fuzzy Syst. 28 (5) (2020)
Kiran Bandagar, Pandu Sowkuntla, Salman Abdul Moiz, P. S. V. S. Sai Prasad
MR_IMQRA: An Efficient MapReduce Based Approach for Fuzzy Decision Reduct Computation. PReMI (1) (2019)
Neeli Lakshmi Pavani, Pandu Sowkuntla, K. Swarupa Rani, P. S. V. S. Sai Prasad
Fuzzy Rough Discernibility Matrix Based Feature Subset Selection With MapReduce. TENCON (2019)
Anil Kumar, P. S. V. S. Sai Prasad
Hybridization of Fuzzy Min-Max Neural Networks with kNN for Enhanced Pattern Classification. ICACDS (1) (2019)
Abhimanyu Bar, Anil Kumar, P. S. V. S. Sai Prasad
Finding Optimal Rough Set Reduct with A* Search Algorithm. PReMI (1) (2019)
U. Venkata Divya, P. S. V. S. Sai Prasad
Hashing Supported Iterative MapReduce Based Scalable SBE Reduct Computation. ICDCIT (2018)
Shashikant Ilager, P. S. V. S. Sai Prasad
Scalable MapReduce-based Fuzzy Min-Max Neural Network for Pattern Classification. ICDCN (2017)
Soumen Ghosh, P. S. V. S. Sai Prasad, C. Raghavendra Rao
Third Order Backward Elimination Approach for Fuzzy-Rough Set Based Feature Selection. PReMI (2017)
P. S. V. S. Sai Prasad, H. Bala Subrahmanyam, Praveen Kumar Singh
Scalable IQRA_IG Algorithm: An Iterative MapReduce Approach for Reduct Computation. ICDCIT (2017)
Soumen Ghosh, P. S. V. S. Sai Prasad, C. Raghavendra Rao
An Efficient Gaussian Kernel Based Fuzzy-Rough Set Approach for Feature Selection. MIWAI (2016)
Praveen Kumar Singh, P. S. V. S. Sai Prasad
Scalable Quick Reduct Algorithm: Iterative MapReduce Approach. CODS (2016)
P. S. V. S. Sai Prasad, C. Raghavendra Rao
Non-persistent stratified sampling based IQRA_IG for scalable reduct generation. Int. J. Granul. Comput. Rough Sets Intell. Syst. 3 (3) (2014)
P. S. V. S. Sai Prasad, C. Raghavendra Rao
An Efficient Approach for Fuzzy Decision Reduct Computation. Trans. Rough Sets 17 (2014)
Raveen S., P. S. V. S. Sai Prasad, Chillarige Raghavendra Rao
A New Preprocessor to Fuzzy c-Means Algorithm. MIWAI (2014)
P. S. V. S. Sai Prasad, C. Raghavendra Rao
Seed based fuzzy decision reduct for hybrid decision systems. FUZZ-IEEE (2013)
P. S. V. S. Sai Prasad, C. Raghavendra Rao
Scalable Improved Quick Reduct: Sample Based. RSKT (2012)
P. S. V. S. Sai Prasad, Chillarige Raghavendra Rao
Novel Granular Framework for Attribute Reduction in Incomplete Decision Systems. MIWAI (2012)
P. S. V. S. Sai Prasad, Chillarige Raghavendra Rao
Extensions to IQuickReduct. MIWAI (2011)
P. S. V. S. Sai Prasad, K. Hima Bindu, C. Raghavendra Rao
Incremental Learning in AttributeNets with Dynamic Reduct and IQuickReduct. RSKT (2011)
K. Hima Bindu, P. S. V. S. Sai Prasad, C. Raghavendra Rao
Hybrid decision tree based on inferred attribute. A2CWiC (2010)
Rama Devi Yellasiri, P. Venu Gopal, P. S. V. S. Sai Prasad
Impact analysis of Jensen and Sk pal fuzzification in classification. A2CWiC (2010)
P. S. V. S. Sai Prasad, C. Raghavendra Rao
IQuickReduct: An Improvement to Quick Reduct Algorithm. RSFDGrC (2009)
P. S. V. S. Sai Prasad, P. N. Girija
Speech Recognition of Isolated Telugu Vowels Using Neural Networks. IICAI (2003)