On-Line Business Data Mining - University of Nebraska–Lincoln
On-Line Analytical Processing
On-Line Analytical Processing
on web service
On Using Class-Labels in Evaluation of Clusterings
On Three Major Holes in Data Warehousing Today
On the use of Side Information for Mining Text Data
On the role of pre and post-processing in environmental data mining
On the Relative Value of Cross-Company and Within
On the relationships between user profiles and navigation sessions
On the Relationship Between Feature Selection and Classification
On the Power of Ensemble: Supervised and Unsupervised Methods
on the particular characteristics of spatial data and its
On the Number of Clusters in Block Clustering
On the Necessary and Sufficient Conditions of a Meaningful
On The Mining and Usage of Movement Patterns in Large Traffic
On the MDBSCAN Algorithm in a Spatial Data Mining Context
On the Interpretability of Conditional Probability Estimates in the
On the Improvement of Weighted Page Content Rank
On the Importance of Comprehensible Classification Models for
