Ashwin Kumar T. K

Orcid: 0000-0001-6474-1375

According to our database1, Ashwin Kumar T. K authored at least 14 papers between 2014 and 2017.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2017
An efficient and secure information retrieval framework for content centric networks.
J. Parallel Distributed Comput., 2017

Entropy-Based Model for Estimating Veracity of Topics from Tweets.
Proceedings of the Computational Collective Intelligence - 9th International Conference, 2017

2016
Application of an Asset Bubble Model to Microblog Data Analytics.
Proceedings of the 23rd IEEE International Conference on High Performance Computing Workshops, 2016

Cleaning Framework for BigData: An Interactive Approach for Data Cleaning.
Proceedings of the Second IEEE International Conference on Big Data Computing Service and Applications, 2016

Privacy Preserving Rack-Based Dynamic Workload Balancing for Hadoop MapReduce.
Proceedings of the 2nd IEEE International Conference on Big Data Security on Cloud, 2016

Tweet sentiment as proxy for political campaign momentum.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

Veracity of information in twitter data: A case study.
Proceedings of the 2016 International Conference on Big Data and Smart Computing, 2016

2015
Performance evaluation and tuning for MapReduce computing in Hadoop distributed file system.
Proceedings of the 13th IEEE International Conference on Industrial Informatics, 2015

Real-Time Hybrid Intrusion Detection System Using Apache Storm.
Proceedings of the 17th IEEE International Conference on High Performance Computing and Communications, 2015

Identifying Sensitive Data Items within Hadoop.
Proceedings of the 17th IEEE International Conference on High Performance Computing and Communications, 2015

Cleaning Framework for Big Data - Object Identification and Linkage.
Proceedings of the 2015 IEEE International Congress on Big Data, New York City, NY, USA, June 27, 2015

An Empirical Approach to Detection of Topic Bubbles in Tweets.
Proceedings of the 2nd IEEE/ACM International Symposium on Big Data Computing, 2015

2014
Dynamic Workload Balancing for Hadoop MapReduce.
Proceedings of the 2014 IEEE Fourth International Conference on Big Data and Cloud Computing, 2014

Dynamic data rebalancing in Hadoop.
Proceedings of the 2014 IEEE/ACIS 13th International Conference on Computer and Information Science, 2014


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