Download Data Matching: Concepts and Techniques for Record Linkage, by Peter Christen PDF
By Peter Christen
Data matching (also often called checklist or info linkage, entity answer, item id, or box matching) is the duty of determining, matching and merging documents that correspond to a similar entities from numerous databases or maybe inside of one database. in accordance with examine in a number of domain names together with utilized information, future health informatics, info mining, desktop studying, synthetic intelligence, database administration, and electronic libraries, major advances were completed during the last decade in all elements of the information matching procedure, particularly on tips to increase the accuracy of information matching, and its scalability to massive databases.
Peter Christen’s ebook is split into 3 components: half I, “Overview”, introduces the topic through offering numerous pattern purposes and their distinctive demanding situations, in addition to a basic evaluation of a general information matching method. half II, “Steps of the knowledge Matching Process”, then information its major steps like pre-processing, indexing, box and checklist comparability, type, and caliber evaluate. finally, half III, “Further Topics”, offers with particular features like privateness, real-time matching, or matching unstructured facts. ultimately, it in short describes the most beneficial properties of many examine and open resource platforms on hand today.
By delivering the reader with a extensive variety of knowledge matching techniques and strategies and relating all elements of the information matching strategy, this e-book is helping researchers in addition to scholars focusing on info caliber or information matching elements to familiarize themselves with contemporary examine advances and to spot open learn demanding situations within the zone of knowledge matching. To this finish, each one bankruptcy of the e-book features a ultimate part that offers tips that could extra heritage and examine fabric. Practitioners will higher comprehend the present cutting-edge in facts matching in addition to the interior workings and barriers of present platforms. specifically, they'll study that it's always now not possible to easily enforce an present off-the-shelf information matching approach with out tremendous adaption and customization. Such useful issues are mentioned for every of the key steps within the information matching process.
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Additional resources for Data Matching: Concepts and Techniques for Record Linkage, Entity Resolution, and Duplicate Detection
If for example only names but no address information is available then accurate matching of two large databases will be impossible because many records might contain the names ‘John Smith’ or ‘Mary Miller’. • Believability. Can the values stored in the databases be regarded as credible or true? Or is it possible that values are wrong or impossible? Arguably the most important data quality dimensions for data matching and deduplication are accuracy and consistency, because a large portion of efforts in the indexing, comparisons and classification steps (that will be covered in Chaps.
Several records that refer to the same entity), then the maximum number of true matches that are possible is always smaller than or equal to the number of records in the smaller of the two databases. To reduce the possibly very large number of pairs of records that need to be compared, indexing techniques are commonly applied . These techniques filter out record pairs that are very unlikely to correspond to matches. They generate candidate record pairs that will be compared in more detail in the comparison step of the data matching process to calculate the detailed similarities between two records, as will be described in the following section.
The number of megapixels (10 for this camera) complicates the similarity calculations for this example even further. As this example highlights, data matching is often a very data dependent activity, and techniques such as approximate comparison functions need to be specifically designed for a certain task and data at hand. A wide range of such comparison functions will be described in Chap. 5. 8 Social Sciences and Genealogy In recent years there has been a shift in the way social science research is being conducted.