Titlebook: Data Cleaning; Venkatesh Ganti,Anish Das Sarma Book 2013 Springer Nature Switzerland AG 2013

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書目名稱Data Cleaning影響因子(影響力)




書目名稱Data Cleaning影響因子(影響力)學科排名




書目名稱Data Cleaning網(wǎng)絡公開度




書目名稱Data Cleaning網(wǎng)絡公開度學科排名




書目名稱Data Cleaning被引頻次




書目名稱Data Cleaning被引頻次學科排名




書目名稱Data Cleaning年度引用




書目名稱Data Cleaning年度引用學科排名




書目名稱Data Cleaning讀者反饋




書目名稱Data Cleaning讀者反饋學科排名

沒收

Formidable

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古老

Olaf Pollmann,Szilárd PodruzsikIn this chapter, we discuss the support that needs to be provided by a generic data cleaning platform for the task of .. As motivated in Chapter 1, the goal of deduplication is to combine records that represent the same real-world entity.

Locale

Similarity Functions,A common requirement in several critical data cleaning operations is to measure the closeness between pairs of records. . (or, .) between atomic values constituting a record form the backbone of measuring closeness between records.

Locale

Task: Deduplication,In this chapter, we discuss the support that needs to be provided by a generic data cleaning platform for the task of .. As motivated in Chapter 1, the goal of deduplication is to combine records that represent the same real-world entity.

opalescence

Climate Change, Agriculture and Societyso have become the defacto standard for supporting data analysis tasks generating reports indicating the health of the business operations. These reports are often critical to track performance as well as to make informed decisions on several issues confronting a business. The reporting functionalit

清唱劇

Climate Change, Agriculture and Society and deployment of effective solutions for data cleaning. These approaches differ primarily in the flexibility and the effort required from the developer implementing the data cleaning solution. The more flexible approaches often require the developer to implement significant parts of the solution,

享樂主義者

https://doi.org/10.1007/978-3-319-40590-2es. However, one of the crucial predicates often is to measure closeness in terms of textual context between records. This similarity is often quantified by a textual similarity function which compares the content of the two records. There are a variety of common similarity functions as discussed in