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III : Medium : Collaborative Research : From Answering Questions to Questioning Answers ( and Questions )---Perturbation Analysis of Database Queries
| Content Provider | Semantic Scholar |
|---|---|
| Author | Yang, Jun Adair, Bill |
| Copyright Year | 2017 |
| Abstract | In the age of data ubiquity, decision making is increasingly driven by data. Oftentimes, database queries are used to identify issues, debate strategies, make choices, and explain decisions. How these database queries are formulated can significantly influence the decision-making process. A poor choice of query parameters—be it intentionally or accidentally—may give a biased view of the underlying data, and lead to decisions that are wrong, misguided, or “brittle” when reality deviates from assumptions. Database research has in the past focused on how to answer queries, but has not devoted much attention to how queries impact decision making, or how to formulate “good” queries from the outset. This project aims to fill this void. The key insight is perturbation analysis of data queries—i.e., studying how perturbations of the query form and parameters affect the query result. For example, slight query perturbations leading to very different results help identify potential pitfalls in decision making. In general, perturbation analysis of database queries reveals how queries affect the robustness and objectivity of decisions, and helps decision makers identify “good” queries that will influence their decisions. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://db.cs.duke.edu/media/projects/cj/pq-year1.pdf |
| Alternate Webpage(s) | http://db.cs.duke.edu/media/projects/cj/pq-year3.pdf |
| Alternate Webpage(s) | http://db.cs.duke.edu/media/projects/cj/pq-year2.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
