Scipediacontent: Scipediacontent moved page Draft Content 987705618 to Felix et al 2019a

2021-02-02T03:22:47Z

Scipediacontent moved page Draft Content 987705618 to Felix et al 2019a

Scipediacontent: Created page with " == Abstract == While the demand for machine learning (ML) applications is booming, there is a scarcity of data scientists capable of building such models. Automatic machine..."

2021-02-02T03:22:40Z

Created page with " == Abstract == While the demand for machine learning (ML) applications is booming, there is a scarcity of data scientists capable of building such models. Automatic machine..."

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== Abstract ==

While the demand for machine learning (ML) applications is booming, there is a scarcity of data scientists capable of building such models. Automatic machine learning (AutoML) approaches have been proposed that help with this problem by synthesizing end-to-end ML data processing pipelines. However, these follow a best-effort approach and a user in the loop is necessary to curate and refine the derived pipelines. Since domain experts often have little or no expertise in machine learning, easy-to-use interactive interfaces that guide them throughout the model building process are necessary. In this paper, we present Visus, a system designed to support the model building process and curation of ML data processing pipelines generated by AutoML systems. We describe the framework used to ground our design choices and a usage scenario enabled by Visus. Finally, we discuss the feedback received in user testing sessions with domain experts.

Comment: Accepted for publication in the 2019 Workshop on Human-In-the-Loop Data Analytics (HILDA'19), co-located with SIGMOD 2019

== Original document ==

The different versions of the original document can be found in:

* [http://arxiv.org/abs/1907.02889 http://arxiv.org/abs/1907.02889]

* [http://arxiv.org/pdf/1907.02889 http://arxiv.org/pdf/1907.02889]

* [http://dl.acm.org/ft_gateway.cfm?id=3329134&ftid=2081330&dwn=1 http://dl.acm.org/ft_gateway.cfm?id=3329134&ftid=2081330&dwn=1],
: [http://dx.doi.org/10.1145/3328519.3329134 http://dx.doi.org/10.1145/3328519.3329134] under the license http://www.acm.org/publications/policies/copyright_policy#Background

* [https://dblp.uni-trier.de/db/journals/corr/corr1907.html#abs-1907-02889 https://dblp.uni-trier.de/db/journals/corr/corr1907.html#abs-1907-02889],
: [https://arxiv.org/abs/1907.02889 https://arxiv.org/abs/1907.02889],
: [https://arxiv.org/pdf/1907.02889.pdf https://arxiv.org/pdf/1907.02889.pdf],
: [http://ui.adsabs.harvard.edu/abs/2019arXiv190702889S/abstract http://ui.adsabs.harvard.edu/abs/2019arXiv190702889S/abstract],
: [https://export.arxiv.org/pdf/1907.02889 https://export.arxiv.org/pdf/1907.02889],
: [https://nyuscholars.nyu.edu/en/publications/visus-an-interactive-system-for-automatic-machine-learning-model- https://nyuscholars.nyu.edu/en/publications/visus-an-interactive-system-for-automatic-machine-learning-model-],
: [https://fr.arxiv.org/abs/1907.02889 https://fr.arxiv.org/abs/1907.02889],
: [https://export.arxiv.org/abs/1907.02889 https://export.arxiv.org/abs/1907.02889],
: [https://fr.arxiv.org/pdf/1907.02889 https://fr.arxiv.org/pdf/1907.02889],
: [https://academic.microsoft.com/#/detail/2954438306 https://academic.microsoft.com/#/detail/2954438306]

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Scipediacontent: Scipediacontent moved page Draft Content 987705618 to Felix et al 2019a

Scipediacontent: Created page with " == Abstract == While the demand for machine learning (ML) applications is booming, there is a scarcity of data scientists capable of building such models. Automatic machine..."