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Performance evaluation of bandwidth allocation in ATM networks

Sundarambal, M.; Dhivya, M.; Anbalagan, P. - In: International journal of business information systems : … 6 (2010) 3, pp. 398-417

Persistent link: https://www.econbiz.de/10009869807

Performance analysis of computational intelligence techniques for energy efficiency in wireless sensor networks

Dhivya, M.; Sundarambal, M. - In: International journal of business information systems : … 16 (2014) 1, pp. 42-54

Persistent link: https://www.econbiz.de/10010395140

Evolutionary approach for buffer management in asynchronous transfer mode networks

Sundarambal, M.; Devaraj, R.; Anbalagan, P. - In: International journal of information systems and change … 3 (2008) 4, pp. 344-358

Persistent link: https://www.econbiz.de/10003879507

Evolutionary approach for buffer management in asynchronous transfer mode networks

Sundarambal, M.; Devaraj, R.; Anbalagan, P. - In: International journal of information systems and change … 3 (2008) 4, pp. 344-358

Persistent link: https://www.econbiz.de/10008268459

Privacy Preserving Fuzzy Association Rule Mining in Data Clusters Using Particle Swarm Optimization

Krishnamoorthy, Sathiyapriya; Sadasivam, G. Sudha; … - In: International Journal of Intelligent Information … 13 (2017) 2, pp. 1-20

An association rule is classified as sensitive if its thread of revelation is above certain confidence value. If these sensitive rules were revealed to the public, it is possible to deduce sensitive knowledge from the published data and offers benefit for the business competitors. Earlier...

Persistent link: https://www.econbiz.de/10012045502

Poverty alleviation in India : the unfinished task and the road ahead

Anbalagan, P. (ed.); Singh, Rakesh K. (ed.); … - Indian Economic Association / Annual Conference; Indian … - 2016

Persistent link: https://www.econbiz.de/10011477974

Chicken swarm optimisation based clustering of biomedical documents and health records to improve telemedicine applications

Sandhiya, R.; Sundarambal, M. - In: International journal of enterprise network management 10 (2019) 3/4, pp. 305-328

Persistent link: https://www.econbiz.de/10012155302