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
Detecting Security threats in the Router using Computational
Detecting Scanners: Empirical Assessment on a 3G Network
Detecting Rule Inconsistencies in Symbiotic Simulations
Detecting Review Spam: Challenges and Opportunities
Detecting Privacy and Ethical Sensitivity in Data Mining Results
Detecting Phishing Attempts with SAS®: Cisco IronPort® Email Log
