Human-powered data management
Abstract/Contents
- Abstract
- Fully automated algorithms are inadequate for a number of data analysis tasks, especially those involving images, video, or text. Thus, there is often a need to combine "human computation" (or crowdsourcing), together with traditional computation, in order to improve the process of understanding and analyzing data. However, most data management applications currently employ crowdsourcing in an ad-hoc fashion; these applications are not optimized for low monetary cost, low latency, or high accuracy. In this thesis, we develop a formalism for reasoning about human-powered data management, and use this formalism to design: (a) a toolbox of basic data processing algorithms, optimized for cost, latency, and accuracy, and (b) practical data management systems and applications that use these algorithms. We demonstrate that our techniques lead to algorithms and systems that expend very few resources (e.g., time waiting, human effort, or money spent), while providing just as high quality results, as compared to approaches used in practice.
Description
| Type of resource | text |
|---|---|
| Form | electronic; electronic resource; remote |
| Extent | 1 online resource. |
| Publication date | 2013 |
| Issuance | monographic |
| Language | English |
Creators/Contributors
| Associated with | Parameswaran, Aditya |
|---|---|
| Associated with | Stanford University, Department of Computer Science. |
| Primary advisor | Garcia-Molina, Hector |
| Thesis advisor | Garcia-Molina, Hector |
| Thesis advisor | Polyzotis, Neoklis |
| Thesis advisor | Widom, Jennifer |
| Advisor | Polyzotis, Neoklis |
| Advisor | Widom, Jennifer |
Subjects
| Genre | Theses |
|---|
Bibliographic information
| Statement of responsibility | Aditya G. Parameswaran. |
|---|---|
| Note | Submitted to the Department of Computer Science. |
| Thesis | Ph.D. Stanford University 2013 |
| Location | electronic resource |
Access conditions
- Copyright
- © 2013 by Aditya Ganesh Parameswaran
- License
- This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).
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