By Peter Christen
Data matching (also referred to as list or info linkage, entity answer, item id, or box matching) is the duty of making a choice on, matching and merging files that correspond to a similar entities from numerous databases or maybe inside one database. according to learn in quite a few domain names together with utilized facts, wellbeing and fitness informatics, facts mining, desktop studying, man made intelligence, database administration, and electronic libraries, major advances were completed during the last decade in all elements of the information matching method, specially on tips to increase the accuracy of knowledge matching, and its scalability to massive databases.
Peter Christen’s publication is split into 3 components: half I, “Overview”, introduces the topic by means of providing numerous pattern purposes and their specific demanding situations, in addition to a basic evaluate of a prevalent info matching approach. half II, “Steps of the information Matching Process”, then info its major steps like pre-processing, indexing, box and checklist comparability, category, and caliber evaluate. finally, half III, “Further Topics”, offers with particular facets like privateness, real-time matching, or matching unstructured facts. eventually, it in short describes the most positive factors of many examine and open resource platforms on hand today.
By offering the reader with a huge variety of information matching ideas and strategies and concerning all facets of the information matching procedure, this booklet is helping researchers in addition to scholars focusing on info caliber or info matching points to familiarize themselves with contemporary learn advances and to spot open examine demanding situations within the region of information matching. To this finish, each one bankruptcy of the publication incorporates a ultimate part that gives tips that could additional historical past and examine fabric. Practitioners will higher comprehend the present state-of-the-art in info matching in addition to the inner workings and boundaries of present structures. specifically, they'll research that it is usually now not possible to easily enforce an latest off-the-shelf facts matching method with out colossal adaption and customization. Such sensible concerns are mentioned for every of the most important steps within the info matching process.
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Extra resources for Data Matching: Concepts and Techniques for Record Linkage, Entity Resolution, and Duplicate Detection (Data-Centric Systems and Applications)
Data Matching: Concepts and Techniques for Record Linkage, Entity Resolution, and Duplicate Detection (Data-Centric Systems and Applications) by Peter Christen