J. Indumathi

发表

Optimizing PPDM in asynchronous sparse data using random projection

R. Raja Kumar, J. Indumathi, G. V. Uma, 2008, 2008 IEEE International Conference on Information Reuse and Integration.

Automated computer aided system for early diagnosis of Alzheimer's disease by regional atrophy analysis in functional magnetic resonance imaging

J. Indumathi, R. Sampath, 2019 .

Customized Privacy Preservation Using Unknowns to Stymie Unearthing Of Association Rules

J. Indumathi, G. V. Uma, 2007 .

A framework for architecture recovery of web applications

J. Indumathi, K. Ramkumar, 2005, ICSE 2005.

A New flustering approach for Privacy Preserving Data Fishing in Tele-Health Care Systems

J. Indumathi, G. V. Uma, 2008 .

Earlier detection of Alzheimer disease using N-fold cross validation approach

J. Indumathi, R. Sampath, J. Indumathi, 2018, Journal of Medical Systems.

A pristine clean Cabalistic foruity strategize based approach for Incremental data stream privacy preserving data mining

J. Indumathi, J. Gitanjali, N.Ch. Sriman Narayana Iyengar, 2010, 2010 IEEE 2nd International Advance Computing Conference (IACC).

Fabrication of Ontology for Security in Health Care Systems

J. Indumathi, G. V. Uma, J. Indumathi, 2008, 2008 32nd Annual IEEE International Computer Software and Applications Conference.

A pioneering Cryptic Random Projection based approach for privacy preserving data mining

K. Murugesan, J. Indumathi, D. Manjula, 2009, 2009 IEEE International Conference on Information Reuse & Integration.

A Generic Scaffold Housing the Innovative Modus Operandi for Selection of the Superlative Anonymisation Technique for Optimized Privacy Preserving Data Mining

J. Indumathi, 2012 .

Choice of an Optimized Data Transmogrification Privacy Preserving Data Mining Technique

J. Indumathi, G. V. Uma, 2008 .

A Novel Cardiac Attack Prediction and Classification Using Supervised Agent Techniques

K. Murugesan, J. Indumathi, D. Manjula, 2009 .

State-OfThe-Art in Refurbishing-Based Approach for Privacy Preserving Data Mining

J. Indumathi, G. V. Uma, .