Bettahally N. Keshavamurthy
According to our database1,
Bettahally N. Keshavamurthy
authored at least 19 papers
between 2010 and 2020.
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Bibliography
2020
Peer-to-Peer Netw. Appl., 2020
Proceedings of the Evolution in Computational Intelligence, 2020
2019
Dynamic Multi-layer Ensemble Classification Framework for Social Venues Using Binary Particle Swarm Optimization.
Wirel. Pers. Commun., 2019
A multi-dimensional routing based approach for efficient communication inside partitioned social networks.
Peer-to-Peer Netw. Appl., 2019
Multim. Tools Appl., 2019
A Novel Multi-Layer Classification Ensemble Approach for Location Prediction of Social Users.
Int. J. Web Serv. Res., 2019
An enhanced communication mechanism for partitioned social overlay networks using modified multi-dimensional routing.
Clust. Comput., 2019
Compression with Authenticated Encryption for Enhanced Security on Data Centric Products.
Proceedings of the TENCON 2019, 2019
2018
Multim. Tools Appl., 2018
Probabilistic Classifier for Fashion Image Grouping Using Multi-Layer Feature Extraction Model.
Int. J. Web Serv. Res., 2018
A survey on image data analysis through clustering techniques for real world applications.
J. Vis. Commun. Image Represent., 2018
Proceedings of the 18th IEEE International Conference on Advanced Learning Technologies, 2018
2013
Privacy preserving association rule mining over distributed databases using genetic algorithm.
Neural Comput. Appl., 2013
2012
Corrigendum to "Hiding co-occurring prioritized sensitive patterns over distributed progressive sequential data streams" [J. Network Comput. Appl. 35 (3) (2012) 1116-1129].
J. Netw. Comput. Appl., 2012
Hiding co-occurring prioritized sensitive patterns over distributed progressive sequential data streams.
J. Netw. Comput. Appl., 2012
2010
CoRR, 2010
Privacy-Preserving Naïve Bayes Classification Using Trusted Third Party and Offset Computation over Distributed Databases.
Proceedings of the Information and Communication Technologies - International Conference, 2010
Efficient Mining of Frequent Items Coupled with Weight and /or Support over Progressive Databases.
Proceedings of the Data Engineering and Management - Second International Conference, 2010