Interaction with a mixed-initiative system for exploratory data analysis

Robert St. Amant, Paul R Cohen

Research output: Contribution to journalArticle

10 Citations (Scopus)

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 describes the design and behavior of the system and discusses an experimental evaluation that demonstrates the effectiveness of our approach.

Original languageEnglish (US)
Pages (from-to)265-273
Number of pages9
JournalKnowledge-Based Systems
Volume10
Issue number5
StatePublished - Mar 1998
Externally publishedYes

Fingerprint

Statistical methods
Planning
Exploratory data analysis
Interaction
Software
Evaluation
Statistical analysis

Keywords

  • Artificial intelligence
  • Data exploration
  • Planning

ASJC Scopus subject areas

  • Artificial Intelligence

Cite this

Interaction with a mixed-initiative system for exploratory data analysis. / St. Amant, Robert; Cohen, Paul R.

In: Knowledge-Based Systems, Vol. 10, No. 5, 03.1998, p. 265-273.

Research output: Contribution to journalArticle

@article{ed57e79d449244dfa381fec5140c10b6,
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 describes the design and behavior of the system and discusses an experimental evaluation that demonstrates the effectiveness of our approach.",
keywords = "Artificial intelligence, Data exploration, Planning",
author = "{St. Amant}, Robert and Cohen, {Paul R}",
year = "1998",
month = "3",
language = "English (US)",
volume = "10",
pages = "265--273",
journal = "Knowledge-Based Systems",
issn = "0950-7051",
publisher = "Elsevier",
number = "5",

}

TY - JOUR

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

AU - St. Amant, Robert

AU - Cohen, Paul R

PY - 1998/3

Y1 - 1998/3

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 describes the design and behavior of the system and discusses an experimental evaluation that demonstrates the effectiveness of our approach.

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 describes the design and behavior of the system and discusses an experimental evaluation that demonstrates the effectiveness of our approach.

KW - Artificial intelligence

KW - Data exploration

KW - Planning

UR - http://www.scopus.com/inward/record.url?scp=0032023020&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0032023020&partnerID=8YFLogxK

M3 - Article

AN - SCOPUS:0032023020

VL - 10

SP - 265

EP - 273

JO - Knowledge-Based Systems

JF - Knowledge-Based Systems

SN - 0950-7051

IS - 5

ER -