• Corpus ID: 2445832

Issues in Automating Exploratory Data Analysis

@inproceedings{Amant1995IssuesIA,
  title={Issues in Automating Exploratory Data Analysis},
  author={Robert St. Amant and Paul R. Cohen},
  year={1995}
}
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.

References

SHOWING 1-10 OF 22 REFERENCES

Planning representation for automated exploratory data analysis

This work describes the application of Igor to the analysis of the behavior of Phoenix, an artificial intelligence planning system, and outlines a language for Igor, based on techniques of opportunistic planning, which balances control and opportunism.

The Philosophy of Exploratory Data Analysis

  • 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

Empirical Methods for Artificial Intelligence

Empirical research exploratory data analysis basic issues in experiment design hypothesis testing and estimation computer-intensive statistical methods performance assessment explaining performance -

Preliminary System Design for an EDA Assistant

An overview of the design of the Assistant for Intelligent Data Exploration, which assists humans in the early stages of data analysis, is given, which adopts a script-based planning approach to automating EDA.

Domain-independent scientific function finding

This dissertation presents what it is believed to be the strongest domain-independent scientific function-finding algorithm currently in existence and, certainly, the only one which has been rigorously demonstrated, and suggests fundamental limitations in the power of such algorithms.

Discovering Causal Structure: Artificial Intelligence, Philosophy of Science, and Statistical Modeling

Finding Causal Structure is an introduction to causal modeling and an extensive collection of applications to real and simulated data.

Models of Incremental Concept Formation

A planner for the control of problem-solving systems

As part of research on sophisticated control for sensor interpretation, a planning-based control scheme for blackboard systems is developed that makes it possible to postpone focusing decisions and maintain the opportunistic control capabilities of conventional black board systems.

Scientific Discovery: Computational Explorations of the Creative Processes

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.