Data Mining and Value-Added Analysis

By McCue, Colleen; Stone, Emily S. et al. | The FBI Law Enforcement Bulletin, November 2003 | Go to article overview

Data Mining and Value-Added Analysis


McCue, Colleen, Stone, Emily S., Gooch, Teresa P., The FBI Law Enforcement Bulletin


We are drowning in information but starved for knowledge.

--John Naisbitt

Law enforcement agencies, particularly in view of the current emphasis on terrorism, increasingly face the challenge of sorting through large amounts of information needed to help them make informed decisions and successfully fulfill their missions. At the same time, resources, particularly personnel, often dwindle. Described by one agency as the "volume challenge," (1) local, state, and federal agencies alike all struggle with an ever-increasing amount of information that far exceeds their ability to effectively analyze it in a timely fashion.

However, while these issues have surfaced, an extremely powerful tool has emerged from the business community. This tool, used by mortgage brokers to determine credit risk, local supermarkets to ascertain how to strategically stock their shelves, and Internet retailers to facilitate sales, also can benefit law enforcement personnel. Commonly known as data mining, this powerful tool can help investigators to effectively and efficiently perform such tasks as the analysis of crime and intelligence data. (2) Fortunately, because of recent developments in data mining, they do not have to possess technical proficiency to use this tool, only expertise in their respective subject matter.

[ILLUSTRATION OMITTED]

WHAT IS DATA MINING?

Data mining serves as an automated tool that uses multiple advanced computational techniques, including artificial intelligence (the use of computers to perform logical functions), to fully explore and characterize large data sets involving one or more data sources, identifying significant, recognizable patterns, trends, and relationships not easily detected through traditional analytical techniques alone. (3) This information then may help with various purposes, such as the prediction of future events or behaviors.

[ILLUSTRATION OMITTED]

Domain experts, or those with expertise in their respective fields, must determine if information obtained through data mining holds value. For example, a strong relationship between the time of day and a series of robberies would prove valuable to a law enforcement officer with expertise in the investigation pertaining to this information. On the other hand, if investigators, while reviewing historical homicide data, noticed that victims normally possessed lip balm, they would not, of course, associate lip balm or chapped lips with an increased risk for death.

WHY USE DATA MINING IN LAW ENFORCEMENT?

The staggering increase in the volume of information now flooding into the law enforcement community requires the use of more advanced analytical methods. Because data-mining software now proves userfriendly, personal-computer based, and, thus, affordable, law enforcement agencies at all levels can use it to help effectively handle this increased flow of data.

The law enforcement community can use data mining to effectively analyze information contained in many large data sets, even those involving written narratives (which represent a great deal of valuable law enforcement information). These may include calls for service data, crime or incident reports, witness statements, suspect interviews, tip information, telephone toll analysis, or Internet activity--almost any information that law enforcement professionals encounter in the course of their work. (4)

Not only can these data sets differ by type but they can originate from different sources, (5) potentially giving law enforcement agencies both a more complete informational base from which to draw conclusions and the ability to identify related information in separate databases or investigations. For example, this may prove valuable in the area of illegal narcotics enforcement. The law enforcement community frequently gathers information regarding markets, trends, and patterns, while medical and social services personnel store information concerning substance use and abuse on the individual level. …

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

Data Mining and Value-Added Analysis
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?

Help
Full screen

matching results for page

    Questia reader help

    How to highlight and cite specific passages

    1. Click or tap the first word you want to select.
    2. Click or tap the last word you want to select, and you’ll see everything in between get selected.
    3. You’ll then get a menu of options like creating a highlight or a citation from that passage of text.

    OK, got it!

    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

    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.