1 - 中国科学技术信息研究所

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中国科技信息研究所

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1

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1. Accession number: 20101212793436

Title: A property optimization method in support of approximately duplicated records detecting

Authors: Mansheng, Xiao1 ; Youshi, Liu2 ; Xiaoqi, Zhou2

Author affiliation: 1 School of Science, Hunan University of T
echnology, Zhuzhou, 412008 Hunan,
China

2 College of Science and Technology, Hunan University of Technology, Zhuzhou, 412008 Hunan, China

Corresponding author: Mansheng, X. (xiaomansheng@tom.com)

Source title: Proceedings
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2009 IEEE International Confe
rence on Intelligent Computing and Intelligent
Systems, ICIS 2009

Abbreviated source title: Proc.
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IEEE Int. Conf. Intelligent Comput. Intelligent Syst., ICIS

Volume: 3

Monograph title: Proceedings
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2009 IEEE International Conference on Intelligent Co
mputing and
Intelligent Systems, ICIS 2009

Issue date: 2009

Publication year: 2009

Pages: 118
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122

Article number: 5358212

Language: English

ISBN
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13: 9781424447541

Document type: Conference article (CA)

Conference name: 2009 IEEE International Confe
rence on Intelligent Computing and Intelligent Systems,
ICIS 2009

Conference date: November 20, 2009
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November 22, 2009

Conference location: Shanghai, China

Conference code: 79567

Sponsor: IEEE Beijing Section; Shanghai Jiaotong University; Xiamen Uni
versity; City University of
Hong Kong; Iwate Prefectural University

Publisher: IEEE Computer Society, 445 Hoes Lane
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P.O.Box 1331, Piscataway, NJ 08855
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1331, United
States

Abstract: In approximately duplicated records detecting of large dataset, the com
position of data is
complicated and the properties of data are too many, so the measurement accuracy is not high, the
implementation cost is oversized. In view of these problems, a sub
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fuzzy clustering property optimization
method based on grouping is prop
osed. That is, first, the properties of group record are processed to reduce
the dimension of property effectively and obtain the representation of the group, and then a similarity
comparison method is used to detect approximately duplicated records in gro
ups. It is shown in theoretical
analysis and experiment, this method has higher detection accuracy and efficiency, and could better solve the
recognition problems of approximately duplicated records in large dataset. ©2009 IEEE.

Number of references: 8

Ma
in heading: Intelligent computing

Controlled terms: Cluster analysis
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Fuzzy clustering
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Fuzzy systems
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Intelligent systems
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Optimization

Uncontrolled terms: Approximately Duplicated Records
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Comparison methods
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Data sets
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Detection
accuracy
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Implementation cost
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Measurement accuracy
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Optimization method
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Property Optimization

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中国科技信息研究所

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2

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Classification code: 961 Systems Science
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922 Statistical Methods
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921.5 Optimization
Techniques
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921.4 Combinatorial Mathematics, Include
s Graph Theory, Set Theory
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731.1 Control
Systems
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723.4 Artificial Intelligence
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723 Computer Software, Data Handling and Applications

DOI: 10.1109/ICICISYS.2009.5358212

Database: Compendex

Compilation and indexing terms, © 2009 Elsevier Inc.


2
. Accession number: 20095312598094

Title: Research on image reconstruction technology by FCM of weighted characteristic

Authors: Xiao, Man
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Sheng1 ; Lv, Yong1 ; Zeng, Rong1

Author affiliation: 1 College of Science, Hu'nan University of Technology, Z
huzhou 412008, China


Corresponding author: Xiao, M.
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S. (xiaomansheng@tom.com)

Source title: Kongzhi yu Juece/Control and Decision

Abbreviated source title: Kongzhi yu Juece Control Decis

Volume: 24

Issue: 12

Issue date: December 2009

Publication yea
r: 2009

Pages: 1917
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1920

Language: Chinese

ISSN: 10010920

CODEN: KYJUEF

Document type: Journal article (JA)

Publisher: Northeast University, P.O. Box 125, Shenyang, 110005, China

Abstract: Aiming at a defect on randomness of the initial clustering
center choosing and sensitivity of
initial value in tradition FCM(fuzzy C
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means) algorithm, a clustering algorithm about FCM of weighted
color space based on evolutionary strategy is proposed. By interposing weighted matrix in RGB(Red Green
Blue) color spa
ce, the color's inhomogeneous is compensated. And by using a statistics clustering algorithm
of minimal maximal distance, clustering center is initiated. The experimental results show that the algorithm
can decrease effectively the mean square deviation of

color quantization, keep overall arrangement of ideas
and part characteristic detail in image reconstruction, and has practical value to the study of the image
process technology.

Number of references: 10

Main heading: Clustering algorithms

Controlled t
erms: Color
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Color image processing
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Evolutionary algorithms
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Fuzzy rules
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Fuzzy systems
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Image reconstruction

Uncontrolled terms: Clustering centers
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Color quantization
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Color space
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Evolutionary
strategies
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Fuzzy C mean
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I
mage process
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Initial values
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matrix
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Mean square
deviation
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Red green blues

Classification code: 961 Systems Science
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921.4 Combinatorial Mathematics, Includes Graph Theory,
Set Theory
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921 Mathematics
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903.1 Information Sources and
Analysis
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741.1 Light/Optics
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741 Light, Optics and Optical Devices
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731.1 Control Systems
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723.4 Artificial Intelligence
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723.2 Data Processing and Image Processing
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723 Computer Software, Data Handling and Applications
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中国科技信息研究所

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3

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721 Computer
Circuits and Logic Elements

Database: Compendex

Compilation and indexing terms, © 2009 Elsevier Inc.



©

2009 Elsevier Inc. All rights reserved.