计算机科学
計算機科學
계산궤과학
COMPUTER SCIENCE
2010年
5期
26-29
,共4页
曹建军%刁兴春%汪挺%王芳潇
曹建軍%刁興春%汪挺%王芳瀟
조건군%조흥춘%왕정%왕방소
数据质量%数据清洗%数据集成%领域无关数据清洗
數據質量%數據清洗%數據集成%領域無關數據清洗
수거질량%수거청세%수거집성%영역무관수거청세
Data quality%Data cleaning%Data integration%Domain-independent data cleaning
对领域无关数据清洗的研究进行了综述.首先阐明了全面数据质量管理、教据集成和数据清洗之间的关系,着重说明了领域无关数据清洗的特点.将领域无关数据清洗方法分为基于特征相似度的方法、基于上下文的方法和基于关系的方法分别介绍.最后对领域无关数据清洗的研究方向进行了展望.
對領域無關數據清洗的研究進行瞭綜述.首先闡明瞭全麵數據質量管理、教據集成和數據清洗之間的關繫,著重說明瞭領域無關數據清洗的特點.將領域無關數據清洗方法分為基于特徵相似度的方法、基于上下文的方法和基于關繫的方法分彆介紹.最後對領域無關數據清洗的研究方嚮進行瞭展望.
대영역무관수거청세적연구진행료종술.수선천명료전면수거질량관리、교거집성화수거청세지간적관계,착중설명료영역무관수거청세적특점.장영역무관수거청세방법분위기우특정상사도적방법、기우상하문적방법화기우관계적방법분별개소.최후대영역무관수거청세적연구방향진행료전망.
Research on domain-independent data cleaning was surveyed.First.relationships among total data quality management,data integration and data cleaning were clarified,and characteristics of domain-independent data cleaning were emphasized.Then,domain-independent data cleaning was classified as feature-based similarity methods,contextbased methods and relationship-based methods.They were introduced respectively.At last,the future research directions of domain-independent data cleaning were discussed.
