Mining Frequent Itemsets without Candidate Generation using
Mining Frequent Itemsets in Distributed and Dynamic
Mining Frequent Itemsets by using Binary Search Tree Approach
Mining Frequent Itemsets and Association Rules
Mining Frequent ItemSet Based on Clustering of Bit Vectors
Mining frequent item sets without candidate generation using
Mining Frequent Item Sets for Association Rule Mining in Relational
Mining Frequent Intra- and Inter-Transaction Itemsets on Multi
Mining Frequent Approximate Sequential Patterns.
Mining frequency counts from sensor set data
Mining for Spatial Patterns
Mining for Spatial Patterns
Mining for Meaning:
Mining for Information
Mining for association rules by strings of bits
Mining Fine-Grained Code Changes to Detect Unknown
Mining Exhaled Volatile Organic Compounds for Breast Cancer
Mining Event or State Sequences: A Social Science
Mining event histories: a social science perspective
mining event data for actionable patterns
