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Table of Contents
Accelerating Set Similarity Joins Using GPUs
Divide-and-Conquer Parallelism for Learning Mixture Models
Multistore Big Data Integration with CloudMdsQL
Ontology Matching with Knowledge Rules
Regularized Cost-Model Oblivious Database Tuning with Reinforcement Learning
Workload-Aware Self-tuning Histograms for the Semantic Web.
Divide-and-Conquer Parallelism for Learning Mixture Models
Multistore Big Data Integration with CloudMdsQL
Ontology Matching with Knowledge Rules
Regularized Cost-Model Oblivious Database Tuning with Reinforcement Learning
Workload-Aware Self-tuning Histograms for the Semantic Web.