Series: Data-Centric Systems and Applications
Hardcover: 272 pages
Publisher: Springer; 2012 edition (July 5, 2012)
Product Dimensions: 6.1 x 0.7 x 9.2 inches
Shipping Weight: 1.4 pounds (View shipping rates and policies)
Average Customer Review: 3.8 out of 5 stars See all reviews (6 customer reviews)
Best Sellers Rank: #815,449 in Books (See Top 100 in Books) #150 in Books > Computers & Technology > Computer Science > AI & Machine Learning > Computer Vision & Pattern Recognition #252 in Books > Textbooks > Computer Science > Artificial Intelligence #339 in Books > Computers & Technology > Networking & Cloud Computing > Network Administration > Storage & Retrieval
I am a statistician working in a hospital. Part of my work involves data matching at a very elementary level, but I am no expert! Still, I can see that this is an important topic. The amount of data collected in health care is huge: the challenge is to match data from different sources rather than collect more data. By matching data from different sources we can gain a more complete picture of how people travel through the health care system. You can imagine the difficulties when my name is recorded as "Terence" here, "Terrance" there, "Terry" somewhere else, and, of course, "Terri" (??). Peter Christen is a computer scientist who is an expert in this field. Furthermore, he writes well. So here we have a book that is well-written, by an expert, on an important topic, published by a major publisher, at a reasonable price. Although the book is probably more advanced than I need, suprisingly, I do not regard it as too technical. There is an extensive list of references. With only about 250 pages, I can read it on the train. For a hardback book it is a good price - many university text books cost much more. "Data Matching" by Peter Christen should be in every university library.
This book is a must for anyone in the field of data linkage (or record linkage as it is also known as).It provides a comprehensive guide to all the steps in the process with clear examples.There's not too much around on this topic, so this text is much needed.
This is a fantastic book for data matching. It is written very well and easy to be understood. It strength my foundation of data matching.
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