Ramasamy Rajaram

Affiliations:
  • Thiagarajar College of Engineering, Madurai, India


According to our database1, Ramasamy Rajaram authored at least 16 papers between 2007 and 2012.

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

Timeline

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Bibliography

2012
An improved, centralised algorithm for detection and resolution of distributed deadlock in the generalised model.
Int. J. Parallel Emergent Distributed Syst., 2012

2011
NB<sup>+</sup>: An improved Naïve Bayesian algorithm.
Knowl. Based Syst., 2011

Message-Optimal Algorithm for Detection and Resolution of Generalized Deadlocks in Distributed Systems.
Informatica (Slovenia), 2011

A decentralized deadlock detection and resolution algorithm for generalized model in distributed systems.
Distributed Parallel Databases, 2011

2010
Improving decision tree performance by exception handling.
Int. J. Autom. Comput., 2010

2009
Data mining based intelligent analysis of threatening e-mail.
Knowl. Based Syst., 2009

Knowledge-based system for text classification using ID6NB algorithm.
Knowl. Based Syst., 2009

Effective and efficient feature selection for large-scale data using Bayes' theorem.
Int. J. Autom. Comput., 2009

Effective solution for unhandled exception in decision tree induction algorithms.
Expert Syst. Appl., 2009

An Optimal, Distributed Deadlock Detection and Resolution Algorithm for Generalized Model in Distributed Systems.
Proceedings of the Contemporary Computing - Second International Conference, 2009

2008
Classification Methods in the Detection of New Suspicious Emails.
J. Inf. Knowl. Manag., 2008

Learning to classify threatening e-mail.
Int. J. Artif. Intell. Soft Comput., 2008

Learning to Classify Threaten E-mail.
Proceedings of the Second Asia International Conference on Modelling and Simulation, 2008

2007
Detection of e-mail concerning criminal activities using association rule-based decision tree.
Int. J. Electron. Secur. Digit. Forensics, 2007

Suspicious E-mail Detection via Decision Tree: A Data Mining Approach.
J. Comput. Inf. Technol., 2007

Association Rule Mining for Suspicious Email Detection: A Data Mining Approach.
Proceedings of the IEEE International Conference on Intelligence and Security Informatics, 2007


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