A Comparative Analysis of Data Cleaning Approaches to Dirty Data
نویسندگان
چکیده
منابع مشابه
Analysis of Data Cleansing Approaches regarding Dirty Data - A Comparative Study
Data Cleansing is an activity involving a process of detecting and correcting the errors and inconsistencies in data warehouse. It deals with identification of corrupt and duplicate data inherent in the data sets of a data warehouse to enhance the quality of data. The research was directed at investigating some existing approaches and frameworks to data cleansing. That attempted to solve the da...
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15 صفحه اولData Cleaning: Problems and Current Approaches
We classify data quality problems that are addressed by data cleaning and provide an overview of the main solution approaches. Data cleaning is especially required when integrating heterogeneous data sources and should be addressed together with schema-related data transformations. In data warehouses, data cleaning is a major part of the so-called ETL process. We also discuss current tool suppo...
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15 صفحه اولGeneric and Declarative Approaches to Data Cleaning: Some Recent Developments
Data assessment and data cleaning tasks have traditionally been addressed through procedural solutions. Most of the time, those solutions have been applicable to specific problems and domains. In the last few years we have seen the emergence of more generic solutions; and also of declarative and rule-based specifications of the intended solutions of data cleaning processes. In this chapter we r...
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ژورنال
عنوان ژورنال: International Journal of Computer Applications
سال: 2013
ISSN: 0975-8887
DOI: 10.5120/10175-5041