Comparing Apples and Oranges: Taxonomy and Design of Pairwise Comparisons within Tabular Data
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Summary
A taxonomy of pairwise comparisons is proposed and it is demonstrated how the taxonomy can be adopted by incorporating pairwise comparison capabilities into Duo, a spreadsheet application that supports comparing two groups of records in a data table.
- Type
- article
- Published
- 2019-05-02
- Cited by
- 8
- References
- 40
- OpenAlex
- https://openalex.org/W2942366970
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:140301412
Keywords
Pairwise comparison, Computer science, Taxonomy (biology), Preference, Artificial intelligence
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- Causal Perception in Question-Answering Systems
- OLAP Patterns: A pattern-based approach to multidimensional data analysis
- Diff in the Loop: Supporting Data Comparison in Exploratory Data Analysis
- Supporting Guided Exploratory Visual Analysis on Time Series Data with Reinforcement Learning
- The Effect of Individual-Level Factors and Task Features on Interface Design for Rule-Verification Crowdsourcing Tasks
- FactExplorer: Fact Embedding-Based Exploratory Data Analysis for Tabular Data
- TofuML: A Spatio-Physical Interactive Machine Learning Device for Interactive Exploration of Machine Learning for Novices
- Causal Perception in Question-Answering Systems
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