Shomona Gracia Jacob

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Parallel Prediction Algorithms for Heterogeneous Data: A Case Study with Real-Time Big Datasets

Rajavel Ramadoss, Y. V. Lokeswari, Shomona Gracia Jacob, 2019 .

Clinical Decision Support System for Neuro-Degenerative Disorders: An Optimal Feature Selective Classifier and Identification of Predictor Markers

S. Saraswathi, Lokeswari Venkataramana, Shomona Gracia Jacob, 2018, ISDA.

An Automated Ontology Learning for benchmarking classifier models through Gain-Based Relative-Non-Redundant (GBRNR) Feature Selection : A case-study with Erythemato

Shomona Gracia Jacob, S. Sivasankari, 2018 .

A cloud-based data mining framework for improved clinical diagnosis through parallel classification

Y. V. Lokeswari, Shomona Gracia Jacob, 2015, 2015 International Conference on Applied and Theoretical Computing and Communication Technology (iCATccT).

Prediction of Credit-Card Defaulters: A Comparative Study on Performance of Classifiers

Shomona Gracia Jacob, Ajay, Ajay Venkatesh, 2016 .

Mining of Association Patterns in Social Network Data (Face Book 100 Universities) through Data Mining Techniques and Methods

R. Geetha Ramani, Shomona Gracia Jacob, P. Nancy, 2012, ACITY.

Discovery of Knowledge Patterns in Lymphographic Clinical Data through Data Mining Methods and Techniques

R. Geetha Ramani, Shomona Gracia Jacob, P. Nancy, 2012, ACITY.

Data Mining Techniques for Automatic Recognition of Carnatic Raga Swaram Notes

R. Geetha Ramani, Shomona Gracia Jacob, K. Priya, 2012 .

Fusion Feature Selection: New Insights into Feature Subset Detection in Biological Data Mining

Shomona Gracia Jacob, R. Athilakshmi, Ramadoss Rajavel, 2019, Studies in Informatics and Control.

Mining of classification patterns in clinical data through data mining algorithms

R. Geetha Ramani, Shomona Gracia Jacob, S. Jacob, 2012, ICACCI '12.

Parallelized Classification of Cancer Sub-types from Gene Expression Profiles Using Recursive Gene Selection

Rajavel Ramadoss, Lokeswari Venkataramana, Shomona Gracia Jacob, 2019, Studies in Informatics and Control.

Data mining method of evaluating classifier prediction accuracy in retinal data

R. Geetha Ramani, Shomona Gracia Jacob, B. Lakshmi, 2012, 2012 IEEE International Conference on Computational Intelligence and Computing Research.

Extraction of Protein Sequence features for Prediction of Neuro-degenerative Brain Disorders: Pioneering the CGAP database

Shomona Gracia Jacob, R. Athilakshmi, S. Jacob, 2016, ICIA.

Approaches and Applications of Virtual Reality and Gesture Recognition: A Review

K Sriraghav, Shomona Gracia Jacob, R SudhaM., 2017, Int. J. Ambient Comput. Intell..

An automated ontology learning for benchmarking classifier models through gain-based relative-non-redundant feature selection: a case-study with erythemato-squamous disease

Shomona Gracia Jacob, Sivasankari Sivasubramanian, 2020, Int. J. Bus. Intell. Data Min..

ROC analysis of classifiers in automatic detection of Diabetic Retinopathy using shape features of fundus images

R. Geetha Ramani, Shomona Gracia Jacob, Lakshmi Balasubramanian, 2013, 2013 International Conference on Advances in Computing, Communications and Informatics (ICACCI).

A Comparative study on Parallel Data Mining Algorithms using Hadoop Map Reduce: A Survey

Y. V. Lokeswari, Shomona Gracia Jacob, S. Jacob, 2016, ICTCS.

Social Influence Algorithms and Emotion Classification for Prediction of Human Behavior: A Survey

Shomona Gracia Jacob, Poornima Nedunchezhian, 2017, 2017 Second International Conference on Recent Trends and Challenges in Computational Models (ICRTCCM).

Prediction of rescuable cancer mutants in p53 mutation network using centrality measures

R. Geetha Ramani, Shomona Gracia Jacob, P. Nancy, 2017 .

Benchmarking Gene Selection Techniques for Prediction of Distinct Carcinoma from Gene Expression Data: A Computational Study

Lokeswari Venkataramana, Shomona Gracia Jacob, Saraswathi Shanmuganathan, 2020 .

Binary categorization of DNA data with unbalanced class distribution for prediction of hepatocellular carcinoma

R. Priyanka, Shomona Gracia Jacob, Naren T Kesh, 2015, 2015 International Conference on Applied and Theoretical Computing and Communication Technology (iCATccT).

Benchmarking Classification Models for Cancer Prediction from Gene Expression Data: A Novel Approach and New Findings

Shomona Gracia Jacob, Geetha Ramani, S. Jacob, 2013 .

A Parallel Multilevel Feature Selection algorithm for improved cancer classification

Rajavel Ramadoss, Lokeswari Venkataramana, Shomona Gracia Jacob, 2020, J. Parallel Distributed Comput..

Deep Q-Learning for Home Automation

Vignesh Gokul, Shomona Gracia Jacob, Sharath Kumar, 2016 .

Turnover Prediction Of Shares using Data Mining techniques : A Case Study pdf

Shomona Gracia Jacob, V. Sruthi, D. S. Shashaank, 2015, ArXiv.

Adaptive traffic management and dynamic optimal redirection using particle swarm optimization

Shomona Gracia Jacob, Nivetha Thiruverahan, Priyanka Ravi, 2015, 2015 International Conference on Applied and Theoretical Computing and Communication Technology (iCATccT).

Knowledge Discovery through Computational Methods on EEG and fMRI Data

Shomona Gracia Jacob, Sanjana Sahayaraj, 2015 .

A Survey on Deep-Learning Architectures

Shomona Gracia Jacob, Rajangam Athilakshmi, Ramadoss Rajavel, 2018 .

EVOLVING EFFICIENT CLUSTERING AND CLASSIFICATION PATTERNS IN LYMPHOGRAPHY DATA THROUGH DATA MINING TECHNIQUES

R. Geetha Ramani, Shomona Gracia Jacob, S. Jacob, 2012 .

Mining semantic representation from medical text: A Bayesian approach

Shomona Gracia Jacob, Bino Patric Prakash G, S. Radhameena, 2014, 2014 International Conference on Recent Trends in Information Technology.

Efficient Classifier for Classification of Prognostic Breast Cancer Data through Data Mining Techniques

R. Geetha Ramani, Shomona Gracia Jacob, S. Jacob, 2012 .

Explorations on Influential node Identification and Gender Prediction in Dolphin Network through Social Network Analysis

Shomona Gracia Jacob, P. Nancy, R Geetharamani, 2017 .

Automated Ontology Learning for Improved Diagnosis of Erythemato-squamous Disease : A Decision – Tree Based Approach

Shomona Gracia Jacob, S. Sivasankari, 2016 .

Transaction Overhead Reduction by Server Localization in Bank Database Management Systems

R. Vijayaraghavan, Shomona Gracia Jacob, S. Shriram, 2017 .

PREDICTION OF INFORMATIVE REGIONS IN MEDICAL TEXT USING MACHINE LEARNING TECHNIQUES

Shomona Gracia Jacob, G. Bino, Patric Prakash, 2014 .

Predicting fault-prone software modules using feature selection and classification through data mining algorithms

R. Geetha Ramani, Shomona Gracia Jacob, S. Vinodh Kumar, 2012, 2012 IEEE International Conference on Computational Intelligence and Computing Research.

Improved Random Forest Algorithm for Software Defect Prediction through Data Mining Techniques

Shomona Gracia Jacob, R KalaiMagal., 2015 .

Rootkit (malicious code) prediction through data mining methods and techniques

R. Geetha Ramani, S. Suresh Kumar, Shomona Gracia Jacob, 2013, 2013 IEEE International Conference on Computational Intelligence and Computing Research.

Improved Classification of Lung Cancer Tumors Based on Structural and Physicochemical Properties of Proteins Using Data Mining Models

R. Geetha Ramani, Shomona Gracia Jacob, S. Jacob, 2013, PloS one.

Prediction of P53 Mutants (Multiple Sites) Transcriptional Activity Based on Structural (2D&3D) Properties

Shomona Gracia Jacob, S. Jacob, R. Geetha Ramani, 2013, PloS one.

Prediction of cancer rescue p53 mutants in silico using Naïve Bayes learning methodology.

Shomona Gracia Jacob, S. Jacob, R. Ramani, 2013, Protein and peptide letters.

Feature Relevance Analysis and Classification of Parkinson Disease Tele-Monitoring Data Through Data Mining Techniques

Shomona Gracia Jacob, S. Jacob, G. Sivagami, 2012 .