By Marios Hadjieleftheriou, Divesh Srivastava
Some of the most very important primitive information varieties in sleek facts processing is textual content. textual content facts are identified to have quite a few inconsistencies (e.g., spelling blunders and representational variations). consequently, there exists a wide physique of literature relating to approximate processing of textual content. Approximate String Processing focuses in particular at the challenge of approximate string matching and surveys indexing innovations and algorithms particularly designed for this goal. It concentrates on inverted indexes, filtering innovations, and tree information buildings that may be used to judge a number of set established and edit dependent similarity capabilities. the focal point is on all-match and top-k flavors of choice and sign up for queries, and it discusses the applicability, benefits and drawbacks of every method for each question variety. Approximate String Processing is geared up into 9 chapters. Sandwiched among the creation and end, Chapters 2 to five talk about intimately the basic primitives that signify any approximate string matching indexing method. the following 3 chapters, 6 to nine, are devoted to really expert indexing ideas and algorithms for approximate string matching.
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