Hybrid data analysis systems integrate an analytic tool and a data management tool. While hybrid systems have benefits, in order to be effective data movement between the two hybrid components must be minimized. Through experimental results we demon-strate that under workloads whose inputs vary in size, shape, and location, automation is the only practical way to manage data movement in hybrid systems
Visual analytics science develops principles and methods for efficient human–computer collaboration ...
An overview of various modeling frameworks for hybrid systems is given followed by a comparison of t...
Operations engineering teams interact with complex data systems to make technical decisions that ens...
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Recent decades have seen an explosion in the diversity and scale of data analytics tasks. While data...
To make sense from large amounts of movement data (sequences of positions of moving objects), a huma...
Data processing can be time-consuming when experiments with advanced designs are employed. This, cou...
Modern industrial, government, and academic organizations are collecting massive amounts of data (“B...
This review gives an appraisal of 8 Automatic Time history reocrd analysis systems. The appraisal ...
International audienceThe domain of Visual Analytics has emerged with a charter to support interacti...
Many important planning decisions in society and business depend on proper knowledge and a correct u...
To make sense from large amounts of movement data (sequences of positions of moving objects), a huma...
Today, several contemporary organizations collect various kinds of data, creating large data reposit...
Abstract — Hybrid systems for analyzing big data integrate an analytic tool and a dedicated data-man...
Given the complexity of data science projects and related demand for human expertise, automation has...
Visual analytics science develops principles and methods for efficient human–computer collaboration ...
An overview of various modeling frameworks for hybrid systems is given followed by a comparison of t...
Operations engineering teams interact with complex data systems to make technical decisions that ens...
Let us know how access to this document benefits you. Follow this and additional works at
Recent decades have seen an explosion in the diversity and scale of data analytics tasks. While data...
To make sense from large amounts of movement data (sequences of positions of moving objects), a huma...
Data processing can be time-consuming when experiments with advanced designs are employed. This, cou...
Modern industrial, government, and academic organizations are collecting massive amounts of data (“B...
This review gives an appraisal of 8 Automatic Time history reocrd analysis systems. The appraisal ...
International audienceThe domain of Visual Analytics has emerged with a charter to support interacti...
Many important planning decisions in society and business depend on proper knowledge and a correct u...
To make sense from large amounts of movement data (sequences of positions of moving objects), a huma...
Today, several contemporary organizations collect various kinds of data, creating large data reposit...
Abstract — Hybrid systems for analyzing big data integrate an analytic tool and a dedicated data-man...
Given the complexity of data science projects and related demand for human expertise, automation has...
Visual analytics science develops principles and methods for efficient human–computer collaboration ...
An overview of various modeling frameworks for hybrid systems is given followed by a comparison of t...
Operations engineering teams interact with complex data systems to make technical decisions that ens...