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基于水利普查数据的函数依赖关系算法

钱振兴 万定生 李士进 程习锋

计算机与现代化Issue(8):96-100,5.
计算机与现代化Issue(8):96-100,5.DOI:10.3969/j.issn.1006-2475.2014.08.021

基于水利普查数据的函数依赖关系算法

Function Dependence Algorithm Based on Water Census Data

钱振兴 1万定生 1李士进 1程习锋1

作者信息

  • 1. 河海大学计算机与信息学院,江苏 南京 210098
  • 折叠

摘要

Abstract

Conditional Functional Dependencies (CFDs) can be made extensive use of data inconsistency and data cleaning .In order to check the consistency of water conservancy survey data , this paper , according to the characteristics of the data , divided the data into two parts , including measurement and dimensions , and clustered the measurement data , imported the concept of Conditional Functional Dependencies ( CFDs ) , redefined the Conditional Functional Dependencies , improved CTANE algorithm which finds the functional dependencies;taking reservoir engineering data for example , this paper verified that the improved algo-rithm could accurately find the Conditional Functional Dependencies of water conservancy survey data , which is good for the de-tection of data consistency .

关键词

水利普查数据/条件函数依赖/度量/维度/CTANE算法

Key words

water census data/conditional functional dependencies/measure/dimensions/CTANE algorithm

分类

信息技术与安全科学

引用本文复制引用

钱振兴,万定生,李士进,程习锋..基于水利普查数据的函数依赖关系算法[J].计算机与现代化,2014,(8):96-100,5.

基金项目

国家自然科学基金资助项目(51079040);水利部948项目 ()

计算机与现代化

OACSTPCD

1006-2475

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