There is no magic solution for data cleaning. The user has always to specify the cleaning operations to perform. A huge number of operations may have to be specified. Yet, this is the condition to detect and correct the data quality problems successfully. Most of the cleaning operations are generic enough to be applied to different databases. These operations may be limited to databases of the ...

Data cleaning is the process of correcting anomalies in a data source, that may for instance be due to typographical errors, or duplicate representations of an entity. It is a crucial task in customer relationship management, data mining, and data integration. With the growing amount of XML data, approaches to effectively and efficiently clean XML are needed, an issue not addressed by existing ...

This paper introduces the concept and principle of data cleaning, analyzes the types and causes of dirty data, and proposes several key steps of typical cleaning process, puts forward a well scalability and versatility data cleaning framework, in view of data with attribute dependency relation, designs several of violation data discovery algorithms by formal formula, which can obtain inconsiste...

here, in situ synthesis of nano zinc oxide, along with aminolysis of polyester fabric, has simultaneously been carried out by using triethanol amine (tea) and zinc acetate. the zno nano particles (nps) were formed and stabilized on the fabric surface by amine compound at 130 °c for 1 h. the synthesis of nano zno particles on the polyester fabric were confirmed by x-ray diffraction (xrd) pattern...

Stethoscope diaphragms are frequently colonized by bacteria. This cross-sectional study described the frequency and factors associated with reporting ever cleaning stethoscopes among 408 medical students and doctors at a medical college and 2 teaching hospitals in Rawalpindi, Pakistan. A minority of the respondents (37.7%) reported having ever cleaned their stethoscope. Following normal clinica...

This paper proposes the idea of establishing an extensible data cleaning framework which is based on the key technology of data cleaning, and the framework includes open rules library and algorithms library. This paper gives the descriptions of model principle and working process of the extensible data cleaning framework, and the validity of the framework is verified by experiment. When the dat...