Information Retrieval Using Rough Set Approximations

Bing Zhou; Lei Chen; Xiuyi Jia

doi:10.1007/978-1-4899-7439-6_11

Information Retrieval Using Rough Set Approximations

Bing Zhou, Lei Chen, Xiuyi Jia

Information Technology

Research output: Contribution to book or proceeding › Chapter

2 Scopus citations

Abstract

Rough set theory is a useful mathematical tool that deals with vagueness and uncertainty in data. It has been applied to many important computer scientific fields that helped to deliver the millennium development goals to the united nations, such as data mining, machine learning, pattern recognition, and expert systems. The main objective of this chapter is to investigate the applications of rough set theory in the field of information retrieval. By classifying and analyzing the existing approaches with regard to this topic, the advantages of using rough set theory become clear. Using rough set approach enables us to improve the information retrieval system performances in terms of document ranking, recall level and may provide more user oriented search strategies.

Original language	American English
Title of host publication	ICTs and the Millennium Development Goals: A United Nations Perspective
DOIs	https://doi.org/10.1007/978-1-4899-7439-6_11
State	Published - Apr 8 2014

Keywords

Information retrieval
Rough set

DC Disciplines

Databases and Information Systems

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title = "Information Retrieval Using Rough Set Approximations",

abstract = " Rough set theory is a useful mathematical tool that deals with vagueness and uncertainty in data. It has been applied to many important computer scientific fields that helped to deliver the millennium development goals to the united nations, such as data mining, machine learning, pattern recognition, and expert systems. The main objective of this chapter is to investigate the applications of rough set theory in the field of information retrieval. By classifying and analyzing the existing approaches with regard to this topic, the advantages of using rough set theory become clear. Using rough set approach enables us to improve the information retrieval system performances in terms of document ranking, recall level and may provide more user oriented search strategies.",

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AB - Rough set theory is a useful mathematical tool that deals with vagueness and uncertainty in data. It has been applied to many important computer scientific fields that helped to deliver the millennium development goals to the united nations, such as data mining, machine learning, pattern recognition, and expert systems. The main objective of this chapter is to investigate the applications of rough set theory in the field of information retrieval. By classifying and analyzing the existing approaches with regard to this topic, the advantages of using rough set theory become clear. Using rough set approach enables us to improve the information retrieval system performances in terms of document ranking, recall level and may provide more user oriented search strategies.

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KW - Rough set

UR - https://doi.org/10.1007/978-1-4899-7439-6_11

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DO - 10.1007/978-1-4899-7439-6_11

M3 - Chapter

BT - ICTs and the Millennium Development Goals: A United Nations Perspective

ER -

Information Retrieval Using Rough Set Approximations

Abstract

Keywords

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