L. Venkataramana

Publications11
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Citations10
Highly Influential Citations0
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Improving classification accuracy of cancer types using parallel hybrid feature selection on microarray gene expression data
Data mining techniques are used to mine unknown knowledge from huge data. Microarray gene expression (MGE) data plays a major role in predicting type of cancer. But as MGE data is huge in volume,… Expand
  • 5
Parallelized Classification of Cancer Sub-types from Gene Expression Profiles Using Recursive Gene Selection
TLDR
Cancer is a chronic disease that is caused mainly by irregularities in genes. Expand
  • 3
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A Parallel Multilevel Feature Selection algorithm for improved cancer classification
TLDR
The proposed parallel multilevel feature selection algorithm improved cancer classification resulting into prediction accuracy ranging from 85% to 99% with very high speed up in terms of seconds. Expand
  • 1
Genetic diversity of Fusarium wilt pathogen of Tobacco from Karnataka, India
Genetic diversity of 14 isolates of Fusarium oxysporum f. sp. nicotianae (FON) the causal organism of tobacco wilt disease was studied using characteristics such as cultural, mol. and pathogenicity.… Expand
Categorizing Distinct Carcinoma from Gene Expression Data using Multi-Layer Perceptron
Benchmarking Gene Selection Techniques for Prediction of Distinct Carcinoma from Gene Expression Data: A Computational Study
TLDR
Gene Expression (GE) data have been attracting researchers since ages by virtue of the essential genetic information they carry, that plays a pivotal role in both causing and curing terminal ailments. Expand
  • 1
Clinical Decision Support System for Neuro-Degenerative Disorders: An Optimal Feature Selective Classifier and Identification of Predictor Markers
TLDR
The Clinical Decision Support System (CDSS) was build which extract rules from the least sized Decision tree automatically and predict the type of Neuro-degenerative disorder as Alzheimer's disease, Parkinson’s disease or common to both diseases. Expand
Time-Based Proxy Re-Encryption for User Revocation with Reduced UAKs in Cloud Storage
With rapid development of cloud computing, more and more enterprises will outsource their sensitive data for sharing in cloud. To keep the shared data confidential against un-trusted Cloud Service… Expand
Water quality analysis in a lake using deep learning methodology: prediction and validation
Discharge of untreated waste water, municipal sewage, industrial effluents, dumping of degradable and non-degradable wastes has polluted natural water sources like river, lake, pond to a great exte...
An efficient pre-processing method for improved classification of diabetics using decision tree and artificial neural network