Interaction with a mixed-initiative system for exploratory data analysis

Robert St. Amant; Paul R. Cohen

doi:10.1145/238218.238221

Interaction with a mixed-initiative system for exploratory data analysis

Robert St. Amant, Paul R. Cohen

Research output: Contribution to conference › Paper › peer-review

7 Scopus citations

Abstract

Exploratory data analysis (EDA) plays an increasingly important role in statistical analysis. EDA is difficult, however, even with the help of modern statistical software. We have developed an assistant for data exploration, based on AI planning techniques, that addresses some of the strategic shortcomings of conventional software. This paper illustrates the behavior of the system, gives a high level description of its design, and discusses its experimental evaluation.

Original language	English (US)
Pages	15-22
Number of pages	8
DOIs	https://doi.org/10.1145/238218.238221
State	Published - 1997
Externally published	Yes
Event	Proceedings of the 1997 International Conference on Intelligent User Interfaces, IUI - Orlando, FL, USA Duration: Jan 6 1997 → Jan 9 1997

Other

Other	Proceedings of the 1997 International Conference on Intelligent User Interfaces, IUI
City	Orlando, FL, USA
Period	1/6/97 → 1/9/97

ASJC Scopus subject areas

General Computer Science

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10.1145/238218.238221

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title = "Interaction with a mixed-initiative system for exploratory data analysis",

abstract = "Exploratory data analysis (EDA) plays an increasingly important role in statistical analysis. EDA is difficult, however, even with the help of modern statistical software. We have developed an assistant for data exploration, based on AI planning techniques, that addresses some of the strategic shortcomings of conventional software. This paper illustrates the behavior of the system, gives a high level description of its design, and discusses its experimental evaluation.",

author = "{St. Amant}, Robert and Cohen, {Paul R.}",

note = "Funding Information: This research was supported by ARPA/Rome Laboratory under contract No. F30602-93-0100 and by the Department of the Army, Army Research Office, under contract No. DAAH04-95-1-0466. The US Government is authorized to reproduce and distribute reprints for governmental purposes not withstanding any copyright notation hereon. The views and conclusions contained herein are those of the authors and should not be interpreted as necessarily representing the official policies or endorsements either expressed or implied, of the Advanced Research Projects Agency, Rome Laboratory, or the US Government.; Proceedings of the 1997 International Conference on Intelligent User Interfaces, IUI ; Conference date: 06-01-1997 Through 09-01-1997",

year = "1997",

doi = "10.1145/238218.238221",

language = "English (US)",

pages = "15--22",

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T1 - Interaction with a mixed-initiative system for exploratory data analysis

AU - St. Amant, Robert

AU - Cohen, Paul R.

N1 - Funding Information: This research was supported by ARPA/Rome Laboratory under contract No. F30602-93-0100 and by the Department of the Army, Army Research Office, under contract No. DAAH04-95-1-0466. The US Government is authorized to reproduce and distribute reprints for governmental purposes not withstanding any copyright notation hereon. The views and conclusions contained herein are those of the authors and should not be interpreted as necessarily representing the official policies or endorsements either expressed or implied, of the Advanced Research Projects Agency, Rome Laboratory, or the US Government.

PY - 1997

Y1 - 1997

N2 - Exploratory data analysis (EDA) plays an increasingly important role in statistical analysis. EDA is difficult, however, even with the help of modern statistical software. We have developed an assistant for data exploration, based on AI planning techniques, that addresses some of the strategic shortcomings of conventional software. This paper illustrates the behavior of the system, gives a high level description of its design, and discusses its experimental evaluation.

AB - Exploratory data analysis (EDA) plays an increasingly important role in statistical analysis. EDA is difficult, however, even with the help of modern statistical software. We have developed an assistant for data exploration, based on AI planning techniques, that addresses some of the strategic shortcomings of conventional software. This paper illustrates the behavior of the system, gives a high level description of its design, and discusses its experimental evaluation.

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DO - 10.1145/238218.238221

M3 - Paper

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T2 - Proceedings of the 1997 International Conference on Intelligent User Interfaces, IUI

Y2 - 6 January 1997 through 9 January 1997

ER -

Interaction with a mixed-initiative system for exploratory data analysis

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