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Since 1994, Nancy Mulvany's Indexing Books has been the gold standard for thousands of professional indexers, editors, and authors. This long-awaited second edition, expanded and completely updated, will be equally revered. Like its predecessor, this edition of Indexing Books offers comprehensive, reliable treatment of indexing principles and practices relevant to authors and indexers alike. In addition to practical advice, the book presents a big-picture perspective on the nature and purpose of indexes and their role in published works. New to this edition are discussions of "information overload" and the role of the index, open-system versus closed-system indexing, electronic submission an...
A New York Times Editors' Choice Book Named a Most Anticipated Book of 2022 by Literary Hub and Goodreads A playful history of the humble index and its outsized effect on our reading lives. Most of us give little thought to the back of the book—it’s just where you go to look things up. But as Dennis Duncan reveals in this delightful and witty history, hiding in plain sight is an unlikely realm of ambition and obsession, sparring and politicking, pleasure and play. In the pages of the index, we might find Butchers, to be avoided, or Cows that sh-te Fire, or even catch Calvin in his chamber with a Nonne. Here, for the first time, is the secret world of the index: an unsung but extraordinar...
Bell examines the history of the index and the depiction of the indexer (from diffident drudge to frankly insane) in both fact and fiction. A fascinating look at a previously little-considered element of the book.
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This volume contains all the material from The Chicago Manual of Style, 16th Edition that relates to indexes and the work of indexing. Thoroughly updated to reflect current accepted practices, it is an indispensable guide for anyone preparing an index.
Fundamentals of Database Indexing and Searching presents well-known database searching and indexing techniques. It focuses on similarity search queries, showing how to use distance functions to measure the notion of dissimilarity. After defining database queries and similarity search queries, the book organizes the most common and representative index structures according to their characteristics. The author first describes low-dimensional index structures, memory-based index structures, and hierarchical disk-based index structures. He then outlines useful distance measures and index structures that use the distance information to efficiently solve similarity search queries. Focusing on the ...
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