1. UCI KDD Archive University of California at Irvine – http://kdd.ics.uci.edu

2. Research Titles Combination of Classifiers – Bagging, Boosting, Adaboost, Random subspace, Random forest – Random projection; Stable random projection Non-linear Classifiers – Decision Trees, RBF Clustering – Different approaches, Applications, Validity, Stability, Diversity, ensembles – On-line clustering, time – series clustering, clustering tendency, applications – Spectral Clustering; BIRCH; CURE, Chameleon, NCUT Support Vector Machines – Relevance Vector Machines (RVM); Density estimation – Baysian networks, Dependence Tree – Optimal kernel estimation Applications – Biometric Face, Iris, Signature, Fingerprint, gait – Intrusion detection, data mining, anomaly detection Validation Active Learning; Instance Learning

3. Research Titles Feature selection & extraction – Using information theoretic approaches – Search methods Micro – array data processing – Genomic data processing Fractional Power Polynomial Models