Parallel Data Mining Alexandre Termier LIG laboratory, HADAS team
Parallelizing the Data Cube
Parallelizing Multiscale and Multigranular Spatial Data Mining
Parallel Wilcoxon signed
Parallel Structural Graph Clustering
Parallel ROLAP Data Cube Construction on Shared
Parallel Partitioning and Mining Gene Expression Data with Butterfly
Parallel Particle Swarm Optimization Clustering Algorithm based on
Parallel Outlier Detection on Uncertain Data for GPUs
Parallel Monte-Carlo Tree Search
parallel mining of minimal sample unique itemsets - APT
Parallel K-Means Clustering for Gene Expression Data on SNOW
Parallel K-Means Clustering Based on MapReduce
Parallel K-Means Clustering Based on Hadoop and Hama
Parallel K-Means Algorithm on Agricultural Databases
Parallel K-Means Algorithm for Shared Memory Multiprocessors
Parallel K - Means Algorithm on Distributed Memory Multiprocessors
Parallel Itemset Mining in Massively Distributed Environments
Parallel H-Tree Based Data Cubing on Graphics Processors
Parallel Fuzzy c-Means Clustering for Large Data Sets
