Developing High Risk Clusters for Chronic Disease Events with
Developing Efficient Algorithms for Incremental Mining of Sequential
Developing Data Driven Predictive Models of Student
Developing Credit Scorecards Using Credit Scoring
Developing a Hybrid Intrusion Detection System Using Data Mining
Developer identification methods for integrated data from various
Developer Identification Methods for Integrated Data from
Devdutta B Modak
Deterministic Annealing and Robust Scalable Data Mining for the
Determining the number of clusters using information entropy for
Determining the Existence of Quantitative Association Rule Hiding in
Determining patterns, behaviours, trends, occupation and
Detection of User Demographics on Social Media: A Review of
Detection of Outliers in Time Series Data - e
Detection of Outliers and Hubs Using Minimum Spanning Tree
Detection of Outliers - Department of Science and Technology
DETECTION OF NOISE BY EFFICIENT HIERARCHICAL BIRCH
Detection of financial statement fraud and feature selection using
Detection and Visualization of Subspace Cluster Hierarchies
Detection and Visualization of Subspace Cluster Hierarchies
