Finding of Weighted Sequential Web Access Patterns for

Finding of Interesting Rules from Association Mining by

Finding Non-Redundant, Statistically Signi cant Regions in

Finding Motifs in Time Series

Finding Interesting Places at Malaysia: A Data Mining

Finding Interesting Associations without Support Pruning

Finding Highly Correlated Pairs Efficiently with Powerful Pruning

Finding Hidden Intelligence with Predictive Analysis of Data Mining

Finding Generalized Path Patterns for Web Log Data Mining *

Finding Frequent Pattern with Transaction and Occurrences based

Finding Frequent Items in Data Streams

Finding frequent closed itemsets with an extended version of the

Finding Frequent and Maximal Periodic Patterns in

finding descriptors useful for data mining in the

Finding density-based subspace clusters in graphs with feature

Finding Cyclic Frequent Itemsets

Finding Behavior Patterns from Temporal Data using

Finding Associations and Computing Similarity via Biased Pair

Finding Association Rules From Quantitative Data Using Data Booleanization

Finding Approximate Repeating Patterns from

Finding and Visualizing Subspace Clusters of High Dimensional