ADAPTIVE SAMPLING OF TEXT DOCUMENTS

Robert M. Patton; Thomas E. Potok

ADAPTIVE SAMPLING OF TEXT DOCUMENTS

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Scopus citations

Abstract

There exists an enormous amount of information available via the Internet. Much of this data is in the form of text-based news articles. These articles cover a variety of topics that are vitally important to the scientific, business, and defense/security communities. Currently, there are a many techniques for processing and analyzing such data. However, reducing the amount of information still proves challenging. In this paper, we present a novel approach for providing a representative subset for text documents using adaptive sampling based on a genetic algorithm. We present experimental results that validate our approach.

Original language	English
Title of host publication	13th International Conference on Intelligent and Adaptive Systems and Software Engineering 2004, IASSE 2004
Editors	Walter Dosch, Narayan Debnath
Publisher	The International Society for Computers and Their Applications (ISCA)
Pages	42-45
Number of pages	4
ISBN (Electronic)	9781618398383
State	Published - 2004
Event	13th International Conference on Intelligent and Adaptive Systems and Software Engineering, IASSE 2004 - Nice, France Duration: Jul 1 2004 → Jul 3 2004

Publication series

Name	13th International Conference on Intelligent and Adaptive Systems and Software Engineering 2004, IASSE 2004

Conference

Conference	13th International Conference on Intelligent and Adaptive Systems and Software Engineering, IASSE 2004
Country/Territory	France
City	Nice
Period	07/1/04 → 07/3/04

Keywords

Adaptive Sampling
Genetic Algorithms
Information Retrieval
Text Analysis

Cite this

Patton, R. M., & Potok, T. E. (2004). ADAPTIVE SAMPLING OF TEXT DOCUMENTS. In W. Dosch, & N. Debnath (Eds.), 13th International Conference on Intelligent and Adaptive Systems and Software Engineering 2004, IASSE 2004 (pp. 42-45). (13th International Conference on Intelligent and Adaptive Systems and Software Engineering 2004, IASSE 2004). The International Society for Computers and Their Applications (ISCA).

Patton, Robert M. ; Potok, Thomas E. / ADAPTIVE SAMPLING OF TEXT DOCUMENTS. 13th International Conference on Intelligent and Adaptive Systems and Software Engineering 2004, IASSE 2004. editor / Walter Dosch ; Narayan Debnath. The International Society for Computers and Their Applications (ISCA), 2004. pp. 42-45 (13th International Conference on Intelligent and Adaptive Systems and Software Engineering 2004, IASSE 2004).

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title = "ADAPTIVE SAMPLING OF TEXT DOCUMENTS",

abstract = "There exists an enormous amount of information available via the Internet. Much of this data is in the form of text-based news articles. These articles cover a variety of topics that are vitally important to the scientific, business, and defense/security communities. Currently, there are a many techniques for processing and analyzing such data. However, reducing the amount of information still proves challenging. In this paper, we present a novel approach for providing a representative subset for text documents using adaptive sampling based on a genetic algorithm. We present experimental results that validate our approach.",

keywords = "Adaptive Sampling, Genetic Algorithms, Information Retrieval, Text Analysis",

author = "Patton, {Robert M.} and Potok, {Thomas E.}",

note = "Publisher Copyright: {\textcopyright} 2004. 13th International Conference on Intelligent and Adaptive Systems and Software Engineering 2004, IASSE 2004. All rights reserved.; 13th International Conference on Intelligent and Adaptive Systems and Software Engineering, IASSE 2004 ; Conference date: 01-07-2004 Through 03-07-2004",

year = "2004",

language = "English",

series = "13th International Conference on Intelligent and Adaptive Systems and Software Engineering 2004, IASSE 2004",

publisher = "The International Society for Computers and Their Applications (ISCA)",

pages = "42--45",

editor = "Walter Dosch and Narayan Debnath",

booktitle = "13th International Conference on Intelligent and Adaptive Systems and Software Engineering 2004, IASSE 2004",

}

Patton, RM & Potok, TE 2004, ADAPTIVE SAMPLING OF TEXT DOCUMENTS. in W Dosch & N Debnath (eds), 13th International Conference on Intelligent and Adaptive Systems and Software Engineering 2004, IASSE 2004. 13th International Conference on Intelligent and Adaptive Systems and Software Engineering 2004, IASSE 2004, The International Society for Computers and Their Applications (ISCA), pp. 42-45, 13th International Conference on Intelligent and Adaptive Systems and Software Engineering, IASSE 2004, Nice, France, 07/1/04.

ADAPTIVE SAMPLING OF TEXT DOCUMENTS. / Patton, Robert M.; Potok, Thomas E.
13th International Conference on Intelligent and Adaptive Systems and Software Engineering 2004, IASSE 2004. ed. / Walter Dosch; Narayan Debnath. The International Society for Computers and Their Applications (ISCA), 2004. p. 42-45 (13th International Conference on Intelligent and Adaptive Systems and Software Engineering 2004, IASSE 2004).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Potok, Thomas E.

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Y1 - 2004

N2 - There exists an enormous amount of information available via the Internet. Much of this data is in the form of text-based news articles. These articles cover a variety of topics that are vitally important to the scientific, business, and defense/security communities. Currently, there are a many techniques for processing and analyzing such data. However, reducing the amount of information still proves challenging. In this paper, we present a novel approach for providing a representative subset for text documents using adaptive sampling based on a genetic algorithm. We present experimental results that validate our approach.

AB - There exists an enormous amount of information available via the Internet. Much of this data is in the form of text-based news articles. These articles cover a variety of topics that are vitally important to the scientific, business, and defense/security communities. Currently, there are a many techniques for processing and analyzing such data. However, reducing the amount of information still proves challenging. In this paper, we present a novel approach for providing a representative subset for text documents using adaptive sampling based on a genetic algorithm. We present experimental results that validate our approach.

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KW - Genetic Algorithms

KW - Information Retrieval

KW - Text Analysis

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BT - 13th International Conference on Intelligent and Adaptive Systems and Software Engineering 2004, IASSE 2004

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A2 - Debnath, Narayan

PB - The International Society for Computers and Their Applications (ISCA)

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Y2 - 1 July 2004 through 3 July 2004

ER -

Patton RM , Potok TE. ADAPTIVE SAMPLING OF TEXT DOCUMENTS. In Dosch W, Debnath N, editors, 13th International Conference on Intelligent and Adaptive Systems and Software Engineering 2004, IASSE 2004. The International Society for Computers and Their Applications (ISCA). 2004. p. 42-45. (13th International Conference on Intelligent and Adaptive Systems and Software Engineering 2004, IASSE 2004).

ADAPTIVE SAMPLING OF TEXT DOCUMENTS

Abstract

Publication series

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Keywords

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