Download e-book for iPad: Similarity Search: The Metric Space Approach by Pavel Zezula, Giuseppe Amato, Vlastislav Dohnal, Michal

By Pavel Zezula, Giuseppe Amato, Vlastislav Dohnal, Michal Batko

ISBN-10: 0387291466

ISBN-13: 9780387291468

ISBN-10: 0387291512

ISBN-13: 9780387291512

Within the details Society, info holds the grasp key to monetary impression. Similarity seek: The Metric house technique will specialise in effective how you can find user-relevant details in collections of gadgets, the similarity of that's quantified utilizing a pairwise distance degree. This e-book is a right away reaction to fresh advances in computing, communications and garage that have resulted in the present flood of electronic libraries, facts warehouses and the unlimited heterogeneity of net assets.

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In order to find the best match, it is not enough to retrieve the best matches for the color features and the shapes. Naturally, the best match for the whole query need not be the best match for a single (color or shape) predicate. To this aim, [Fagin, 1996] has proposed the so-called AQ algorithm which solves the problem. This algorithm assumes that for each query predicate we have an index structure able to return objects of decreasing similarity. For every predicate z, the algorithm successively creates a set Xi containing objects which best match the query predicate.

Given a string x, let ms{x) denote the multi-set (bag) of symbols in x. For instance, m5("tree") = {t, r, e, e}. g. g. |{a, a}| = 2). It is immediately apparent that dmsi^i v) is a lower-bounding distance for the unweighted edit distance: \/x^y G S*, dms{x,y) < dedit{x,y). 2 SIMILARITY SEARCH User-Defined Metric Functions The notion of similarity, which ultimately determines the evaluation and the ranking of database objects, may vary from user to user. Thus, it should be made user-dependent to improve the effectiveness of similarity queries, so as to allow users sufficient flexibility in stating their preferences [Chomicki, 2002].

This time, the intervals have been reversed, giving a lower limit of vi — r'^^. 14. 3 Given a metric space M — (P, d) and objects o^p^q e V such that ri < d{p^o) < r^ and r'l < d{q^p) < r^, the distance d{q^o) can be bounded by the range: max{r[ - r/,, n - r'j,, 0} < d{q, o)

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Similarity Search: The Metric Space Approach by Pavel Zezula, Giuseppe Amato, Vlastislav Dohnal, Michal Batko


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