Intelligent Data Analysis: Reasoning about Data

By Berthold, Michael; Cohen, Paul et al. | AI Magazine, Winter 1998 | Go to article overview

Intelligent Data Analysis: Reasoning about Data


Berthold, Michael, Cohen, Paul, Liu, Xiaohui, AI Magazine


The growing importance of the automatic or semiautomatic analysis of data sets in many real-world applications has led to the emergence of the field of intelligent data analysis (IDA), a combination of diverse disciplines including Al and statistics in particular. These fields complement each other: Many statistical methods, particularly those for large data sets, rely on computation, but brute computing power is no substitute for statistical knowledge. Thus, we are seeing the development of intelligent systems for data analysis.

To provide an international forum for the discussion of these topics, a series of symposia on IDA was started in 1995 (Liu 1996). In 1997, the Second International Symposium on Intelligent Data Analysis (IDA97) was held at Birkbeck College, University of London, on 4 to 6 August. Almost 130 people from 20 countries in 4 continents attended. The final program consisted of 2 invited talks and 49 reviewed presentations chosen from 107 submitted papers. The symposium was organized as a single track of oral and poster presentations to give the participants the opportunity to discuss all the research, leading to many informal and fruitful interactions between presenters and participants. Each poster was introduced by its author in a brief talk during special plenary sessions.

Problems arising from effective analysis of large data sets have made the data analyst's job more challenging than ever. Although data analysts now have access to a variety of statistical and AI tools capable of performing different aspects of data analysis, they certainly need further support.

At the First International Symposium on Intelligent Data Analysis (IDA95), it was concluded that there is a need for research in the areas of mixed-initiative, IDA tools (Liu 1996). Although data analysts now have access to a variety of statistical algorithms, these tend to be unintelligent black boxes. Because data sets are too large today to be investigated manually, data analysis tools must themselves determine areas of interest, directions in which to guide the search, and try to relieve the user of the boring aspects of analysis. Another theme at IDA9S was the need to integrate different techniques, sometimes from diverse disciplines. Many of the techniques at the first symposium were "component technology," and little thought was given to how these methods could cooperate in an IDA architecture or framework. Also, most techniques were demonstrated on relatively small applications; there was little discussion of very large data sets. Thus, the theme of IDA97 was set: reasoning about data and how to analyze it, particularly large amounts of data, perhaps as humans analyze it, by exploiting many methods.

Major Themes of Presentation

Work reported at the symposium included a variety of research topics on the theory and application of various techniques to data analysis problems. The principal topics covered include exploratory data analysis, preprocessing, and tools; classification and feature selection; soft computing; knowledge discovery and data mining; estimation; clustering; and qualitative models. Two entire sessions were devoted to medical applications and data quality.

David Hand of The Open University, United Kingdom, started the symposium with an exciting survey of the issues and opportunities for IDA. His paper serves as an insightful assessment of a field that, although too young and exuberant to know exactly what it is about, clearly has great potential. In addition to promoting the interdisciplinary nature of IDA, Hand made a point of defining what he calls unintelligent data analysis, or data analysis that goes too far. To analyze data efficiently and intelligently, skills from a variety of disciplines are required, and it is from real problems that solutions emerge; building abstract methods will not be helpful in the future. Appropriately then, Larry Hunter of the National Library of Medicine presented a challenging new application for the IDA community. …

The rest of this article is only available to active members of Questia

Sign up now for a free, 1-day trial and receive full access to:

  • Questia's entire collection
  • Automatic bibliography creation
  • More helpful research tools like notes, citations, and highlights
  • Ad-free environment

Already a member? Log in now.

Notes for this article

Add a new note
If you are trying to select text to create highlights or citations, remember that you must now click or tap on the first word, and then click or tap on the last word.
One moment ...
Default project is now your active project.
Project items

Items saved from this article

This article has been saved
Highlights (0)
Some of your highlights are legacy items.

Highlights saved before July 30, 2012 will not be displayed on their respective source pages.

You can easily re-create the highlights by opening the book page or article, selecting the text, and clicking “Highlight.”

Citations (0)
Some of your citations are legacy items.

Any citation created before July 30, 2012 will labeled as a “Cited page.” New citations will be saved as cited passages, pages or articles.

We also added the ability to view new citations from your projects or the book or article where you created them.

Notes (0)
Bookmarks (0)

You have no saved items from this article

Project items include:
  • Saved book/article
  • Highlights
  • Quotes/citations
  • Notes
  • Bookmarks
Notes
Cite this article

Cited article

Style
Citations are available only to our active members.
Sign up now to cite pages or passages in MLA, APA and Chicago citation styles.

(Einhorn, 1992, p. 25)

(Einhorn 25)

1

1. Lois J. Einhorn, Abraham Lincoln, the Orator: Penetrating the Lincoln Legend (Westport, CT: Greenwood Press, 1992), 25, http://www.questia.com/read/27419298.

Cited article

Intelligent Data Analysis: Reasoning about Data
Settings

Settings

Typeface
Text size Smaller Larger Reset View mode
Search within

Search within this article

Look up

Look up a word

  • Dictionary
  • Thesaurus
Please submit a word or phrase above.
Print this page

Print this page

Why can't I print more than one page at a time?

Full screen

matching results for page

Cited passage

Style
Citations are available only to our active members.
Sign up now to cite pages or passages in MLA, APA and Chicago citation styles.

"Portraying himself as an honest, ordinary person helped Lincoln identify with his audiences." (Einhorn, 1992, p. 25).

"Portraying himself as an honest, ordinary person helped Lincoln identify with his audiences." (Einhorn 25)

"Portraying himself as an honest, ordinary person helped Lincoln identify with his audiences."1

1. Lois J. Einhorn, Abraham Lincoln, the Orator: Penetrating the Lincoln Legend (Westport, CT: Greenwood Press, 1992), 25, http://www.questia.com/read/27419298.

Cited passage

Welcome to the new Questia Reader

The Questia Reader has been updated to provide you with an even better online reading experience.  It is now 100% Responsive, which means you can read our books and articles on any sized device you wish.  All of your favorite tools like notes, highlights, and citations are still here, but the way you select text has been updated to be easier to use, especially on touchscreen devices.  Here's how:

1. Click or tap the first word you want to select.
2. Click or tap the last word you want to select.

OK, got it!

Thanks for trying Questia!

Please continue trying out our research tools, but please note, full functionality is available only to our active members.

Your work will be lost once you leave this Web page.

For full access in an ad-free environment, sign up now for a FREE, 1-day trial.

Already a member? Log in now.