• Corpus ID: 2445832

Issues in Automating Exploratory Data Analysis

  title={Issues in Automating Exploratory Data Analysis},
  author={Robert St. Amant and Paul R. Cohen},
Exploratory data analysis often plays a central role in the early stages of scientific inquiry. Models of complex phenomena are built incrementally, based on suggestive patterns in data and iterative refinement of plausible explanations. Unfortunately, exploration poses an explosive search problem. In this paper we present a planning approach to the problem. We outline the motivation for this approach and describe a planning system called Aide which we are developing to assist human analysts in… 

Automating anomaly detection for exploratory data analytics

  • Karun Thankachan
  • Computer Science
    2017 International Conference on Inventive Computing and Informatics (ICICI)
  • 2017
The solution details a framework that can accept data, understand the structure and type of variables, extract important variables and detect outliers or anomalies for understanding process bottlenecks, and takes advantage of big-data technologies and distributed computing.



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  • I. Good
  • Philosophy
    Philosophy of Science
  • 1983
This paper attempts to define Exploratory Data Analysis (EDA) more precisely than usual, and to produce the beginnings of a philosophy of this topical and somewhat novel branch of statistics. A data

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Scientific Discovery: Computational Explorations of the Creative Processes examines the role of language in the creative process and the role that language plays in the development of science.

Sunday and Workday Variations in Photochemical Air Pollutants in New Jersey and New York

The results raise serious questions about the validity of current concepts underlying ozone reduction in urban atmospheres, and the primary pollutant distributions are lower on Sundays.