Probabilistic Deduplication, Data Linkage and Geocoding
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Probabilistic Deduplication, Record Linkage and Geocoding
Outline Background and illustrative example Record linkage Applications, privacy and ethics Our project and our tools Data cleaning and standardisation Probabilistic data standardisation and HMMs Blocking / indexing Record pair classification Geocoding Outlook Peter Christen, May 2005 – p.2/28
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In many data mining projects in the health sector information from multiple data sources needs to be cleaned, deduplicated and linked in order to allow more detailed analysis. The aim of such linkages is to merge all records relating to the same entity, such as a patient. Most of the time the linkage process is challenged by the lack of a common unique entity identifier. Additionally, personal ...
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It is estimated that between 80% and 90% of governmental and business data collections contain address information. Geocoding – the process of assigning geographic coordinates to addresses – is becoming increasingly important in many application areas that involve the analysis and mining of such data. In many cases, address records are captured and/or stored in a free-form or inconsistent manne...
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In many data mining projects the data to be analysed contains personal information, like names and addresses. Cleaning and preprocessing of such data likely involves deduplication or linkage with other data, which is often challenged by a lack of unique entity identifiers. In recent years there has been an increased research effort in data linkage and deduplication, mainly in the machine learni...
متن کاملProbabilistic Linkage of Persian Record with Missing Data
Extended Abstract. When the comprehensive information about a topic is scattered among two or more data sets, using only one of those data sets would lead to information loss available in other data sets. Hence, it is necessary to integrate scattered information to a comprehensive unique data set. On the other hand, sometimes we are interested in recognition of duplications in a data set. The i...
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تاریخ انتشار 2005