Research Areas
Most of my research towards the following fields of Data mining. You can see the various research works in the side links.
Data Mining
Applied Data, Text and Web mining.
Information Discovery and Retrieval
Learning, navigating and manipulating structure and information in unstructured or semi-structured document bases.
Text and Pattern Classification
Preprocessing techniques (Feature Selection, Feature Evaluation, Feature Transformation), Classification Techniques (Statistical and Soft computing Techniques for classification), Multi-Class and Multi-Label classification, Performance Evaluation Techniques, Classifier Fusion Techniques.
Recommender Systems, Opinion Mining and Social Network Mining.
Predictive Modeling
Predicting truths from historical data sets. Finance, Market and CRM related Fields.
Statistical Learning methods and Soft Computing
Applying statistical learning and soft computing methods in software projects - Bayesian, neural networks, nearest neighbor, clustering, SVM, decision trees and evaluation of statistical learning methods like boosting and bagging.
Expert System Development
Rule based and case based expert system development.