Information-theoretic fuzzy approach to data reliability and data mining

被引：15

作者：

Maimon, O

Kandel, A ^{[1
]}

Last, M

机构：

[1] Univ S Florida, Dept Comp Sci & Engn, Tampa, FL 33620 USA

[2] Tel Aviv Univ, Dept Ind Engn, IL-69978 Tel Aviv, Israel

来源：

FUZZY SETS AND SYSTEMS | 2001年 / 117卷 / 02期

关键词：

fuzzy databases; data mining; data reliability; production and process control;

D O I：

10.1016/S0165-0114(98)00294-2

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

A novel, information-theoretic fuzzy approach to discovering unreliable data in a relational database is presented. A multilevel information-theoretic connectionist network is constructed to evaluate activation functions of partially reliable database values. The degree of value reliability is defined as a fuzzy measure of difference between the maximum attribute activation and the actual value activation. Unreliable values can be removed from the database or corrected to the values predicted by the network. The method is applied to a real-world relational database which is extended to a fuzzy relational database by adding fuzzy attributes representing reliability degrees of crisp attributes. The highest connection weights in the network are translated into meaningful if, then rules. This work aims at improving reliability of data in a relational database by developing a framework for discovering, accessing and correcting lowly reliable data. (C) 2001 Elsevier Science B.V. All rights reserved.

引用

页码：183 / 194

页数：12

共 26 条

[11]

Klir G, 1995, Fuzzy Sets and Fuzzy Logic: Theory and Applications, V4

[12]

KORTH H, 1991, DATABASE SYSTEM CONC

[13]

KURUTACH W, 1995, P 1995 IEEE INT C SM, P2812

[14] Effective data mining using neural networks [J].

Lu, HJ ;

Setiono, R ;

Liu, H .

IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 1996, 8 (06) :957-961

[15]

MAIMON O, 1999, KNOWLEDGE MANAGEMENT

[16]

Nakajima H, 1996, INT J INTELL SYST, V11, P661, DOI 10.1002/(SICI)1098-111X(199609)11:9<661::AID-INT5>3.0.CO

[17]

2-I

[18]

Petry F.E., 1996, Fuzzy Databases: Principles and Applications

[19]

SRIKANTH R, 1996, P ACM SIGMOD 1996 C

[20] FUZZY DATABASE QUERY LANGUAGES AND THEIR RELATIONAL COMPLETENESS THEOREM [J].

TAKAHASHI, Y .

IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 1993, 5 (01) :122-125

← 1 2 3 →