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Output details

11 - Computer Science and Informatics

University of Huddersfield

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Output 7 of 54 in the submission

Article title

An Information-Theoretic Foundation for the Measurement of Discrimination Information

Type

D - Journal article

DOI

10.1109/TKDE.2009.134

Title of journal

IEEE Transactions on Knowledge and Data Engineering

Article number

Volume number

Issue number

First page of article

1262

ISSN of journal

1041-4347

Year of publication

2010

URL

http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=5066968

Number of additional authors

Additional information

<17> This paper is the first attempt to solve two long-standing open problems in data mining based on information theory: to explicitly interpret the amount of discrimination information conveyed by a term in practical applications, and successfully introduce the concept of the extent of semantic relatedness between two terms into scientific discussions. This paper establishes a unified and sound theoretical framework, clarifies potential problems arising repeatedly from many areas related to large-scale data analysis, and suggests feasible solutions. IEEE TKDE is a leading journal in Computing Science with an impact factor of 1.85 in 2010.

Interdisciplinary

Cross-referral requested

Research group

None

Citation count

Proposed double-weighted

Double-weighted statement

Reserve for a double-weighted output

Non-English

English abstract