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
Detection and Extraction of Videos using Decision Trees
Detecting Time Correlations in Time-Series Data Streams
Detecting the change of customer behavior based on decision tree
Detecting terrorist activities
Detecting Temporal Change in Event Sequences: An
Detecting Suspicious Claims
Detecting Suspicion Information on the Web Using Crime Data
Detecting Subdimensional Motifs: An Efficient Algorithm for
Detecting Statistical Interactions with Additive Groves of Trees
