Mining of Massive Datasets
mining of complex data using combined mining approach
Mining of Association Rules: A Review Paper
Mining Object, Spatial, Multimedia, Text, and
Mining Noisy Data Streams via a Discriminative Model
Mining Newsgroups Using Networks Arising From Social
Mining Named Entities with Temporally Correlated Bursts from
Mining Multivariate Spatiotemporal Patterns from Heterogeneous
Mining Multitemporal in-situ Heterogeneous Monitoring
Mining Multiple-Level Association Rules in Large Databases ц
Mining Multiple Private Databases
Mining Multiple Data Sources Based on Local Pattern Analysis
Mining Multilevel Fuzzy Association Rule from Transaction Data
Mining Multidimensional Sequential Patterns over Data Streams
Mining Multidimensional Data Using Constraint Frequent
Mining Multi-level Association Rules in Large Databases
Mining Moving Object Data for Discovery of Animal Movement Patterns
Mining Motifs in Massive Time Series Databases
Mining Motifs from Human Motion
Mining Models for Failing Behaviors
