Comparing N-Node Set Importance Representative results with Node Importance Representative results for Categorical Clustering: An exploratory study. - Husnabad Venkateswara Reddy; S. Viswanadha Raju; B. Ramasubba Reddy (CoRR, 2012)

Data labeling method based on cluster purity using relative rough entropy for categorical data clustering. - Husnabad Venkateswara Reddy; Pratibha Agrawal; S. Viswanadha Raju (ICACCI, 2013)

An Approach for Data Labelling and Concept Drift Detection Based on Entropy Model in Rough Sets for Clustering Categorical Data. - Husnabad Venkateswara Reddy; S. Viswanadha Raju; B. Suresh Kumar; C. Jayachandra (J. Inf. Knowl. Manag., 2014)

Crime activities prediction system in video surveillance by an optimized deep learning framework. - Kadari Kishore Kumar; Husnabad Venkateswara Reddy (Concurr. Comput. Pract. Exp., 2022)

An optimized whale-based modular neural framework to predict crime events. - Kadari Kishore Kumar; Husnabad Venkateswara Reddy (Multim. Tools Appl., 2023)