Description
Transactions on Large-Scale Data- and Knowledge-Centered Systems XXVIII, 1st ed. 2016
Special Issue on Database- and Expert-Systems Applications
Transactions on Large-Scale Data- and Knowledge-Centered Systems Series
Coordinators: Hameurlain Abdelkader, Küng Josef, Wagner Roland, Chen Qimin
Language: English
Subjects for Transactions on Large-Scale Data- and Knowledge-Centered...:
Keywords
big data; data mining; ontology matching; parallel processing; Semantic Web; divide-and-conquer; GPU; knowledge rules; learning mixture models; machine learning; markov logic; multistore; nonuniform memory access; oblivious database tuning; parallelism; parallelization; probabilistic inference; regularized cost-model; reinforcement learning; self-tuning histograms
Support: Print on demand
Description
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This, the 28th issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, contains extended and revised versions of six papers presented at the 26th International Conference on Database- and Expert-Systems Applications, DEXA 2015, held in Valencia, Spain, in September 2015. Topics covered include efficient graph processing, machine learning on big data, multistore big data integration, ontology matching, and the optimization of histograms for the Semantic Web.
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.
Contains revised selected papers from DEXA 2015
Focuses on turning big data into big value
Topics covered range from efficient graph processing to self-tuning histograms for the Semantic Web
Includes supplementary material: sn.pub/extras
