| SubXPCA and a generalized feature partitioning approach to principal component analysis KV Kumar, A Negi Pattern Recognition 41 (4), 1398-1409, 2008 | 53 | 2008 |
| Non-sequential partitioning approaches to decision tree classifier S Guggari, V Kadappa, V Umadevi Future Computing and Informatics Journal 3 (2), 275-285, 2018 | 29 | 2018 |
| Novel approaches to principal component analysis of image data based on feature partitioning framework KV Kumar, A Negi Pattern Recognition Letters 29 (3), 254-264, 2008 | 19 | 2008 |
| Music rhythm tree based partitioning approach to decision tree classifier S Guggari, V Kadappa, V Umadevi, A Abraham Journal of King Saud University-Computer and Information Sciences 34 (6 …, 2022 | 12 | 2022 |
| Adaptive resource discovery models and resource selection in grids RMR Kovvur, V Kadappa, S Ramachandram, A Govardhan 2010 first international conference on parallel, distributed and grid …, 2010 | 12 | 2010 |
| Computational and space complexity analysis of SubXPCA V Kadappa, A Negi Pattern recognition 46 (8), 2169-2174, 2013 | 11 | 2013 |
| Global modular principal component analysis V Kadappa, A Negi Signal processing 105, 381-388, 2014 | 10 | 2014 |
| SubXPCA versus PCA: a theoretical investigation A Negi, VK Kadappa 2010 20th International Conference on Pattern Recognition, 4170-4173, 2010 | 10 | 2010 |
| Decision tree classifier using theme based partitioning V Kadappa, S Guggari, A Negi 2015 International Conference on Computing and Network Communications …, 2015 | 9 | 2015 |
| A reliable distributed grid scheduler for independent tasks KRM Rao, S Ramachandram, VK Kadappa, A Govardhan International Journal of Computer Science Issues (IJCSI) 8 (2), 296, 2011 | 9 | 2011 |
| Local support-based partition algorithm for frequent pattern mining V Kadappa, S Nagesh Pattern Analysis and Applications 22 (3), 1137-1147, 2019 | 7 | 2019 |
| Teacher recruitment data analytics using association rule mining in Indian context V Kadappa, S Guggari, A Negi 2016 International Conference on Data Science and Engineering (ICDSE), 1-7, 2016 | 6 | 2016 |
| A theoretical investigation of feature partitioning principal component analysis methods V Kadappa, A Negi Pattern Analysis and Applications 19, 79-91, 2016 | 6 | 2016 |
| An investigation on recent advances in feature partitioning based principal component analysis methods A Negi, V Kadappa 2010 Second Vaagdevi International Conference on Information Technology for …, 2010 | 6 | 2010 |
| A Reliable Distributed Grid Scheduler for Mixed Tasks VKGA 2. Kovvur Ram Mohan Rao, Ramachandram S International Conference on Parallel, Distributed Computing technologies and …, 2011 | 4* | 2011 |
| An experimental study of sub-pattern based principal component analysis and Cross-subpattern correlation based principal component analysis A Negi, VK Kadappa Proceedings of Image and Vision Computing 2005, New Zealand, 20-25, 2005 | 4 | 2005 |
| Theme-based partitioning approach to decision tree: an extended experimental analysis S Guggari, V Kadappa, V Umadevi Emerging Research in Electronics, Computer Science and Technology …, 2019 | 3 | 2019 |
| Divide-and-conquer computational approach to principal component analysis V Kadappa, A Negi Proceedings of the 3rd International Conference on Frontiers of Intelligent …, 2015 | 3 | 2015 |
| Identification of road signs using a novel convolutional neural network Y Pan, V Kadappa, S Guggari Cognitive Informatics, Computer Modelling, and Cognitive Science, 319-337, 2020 | 2 | 2020 |
| A Map-Reduce Model of Decision Tree Classifier using Attribute Partitioning N Shivaraju, V Kadappa, S Guggari 2017 International Conference on Current Trends in Computer, Electrical …, 2017 | 2 | 2017 |
