Intermediate Data Visualization Steps Visualization s of intermediate results

Intermediate data visualization steps visualization s

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Intermediate Data Visualization Steps Visualization s of intermediate results Visualization s of final results Termite LDA-based visualizations [Chuang et al 2012]
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Automatic Processing of Multiple Inputs
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Large-Scale Data Processing
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Facilitate Communication Across Data Science Expertise Areas Domain knowledge Statistics, data mining Distributed systems Large-Scale Data Processing
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ICU Patient Clustering [Marlin et al IHI’12; Kale et al ‘13] Describe problem Provide data Show results Show more results Point out issues C O D E C O D E
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ICU Patient Clustering [Marlin et al IHI’12; Kale et al ‘13] End users can easily and continuously explore the data by running the workflow themselves, trying out different data and different parameter values
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Benefits of Using Workflows Simple programming paradigm Documenting provenance: reproducibility Different levels of abstraction Modular assembly Composing heterogeneous code Data preparation steps Data visualization steps Automatic processing of multiple inputs Large-scale processing 42
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Today’s Topics 1. Workflows 2. Computational workflows 3. Workflow systems 4. Benefits of using workflows 43
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The WINGS Workflow System ttp://
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WINGS On-line Access ew User names and passwords were given in class 45
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Run Workflows: Specifying Input Data
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Run Workflows: Selecting a Workflow to Run 47
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Access Results 48
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Manage Data: Browsing Data and Metadata 49
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Manage Data: Uploading Files 50
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Manage Domains 51
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Manage Components: Browsing Components 52
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Edit Workflows 53
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