| 书目名称 | Similarity Joins in Relational Database Systems |
| 编辑 | Nikolaus Augsten,Michael H. Böhlen |
| 视频video | |
| 丛书名称 | Synthesis Lectures on Data Management |
| 图书封面 |  |
| 描述 | State-of-the-art database systems manage and process a variety of complex objects, including strings and trees. For such objects equality comparisons are often not meaningful and must be replaced by similarity comparisons. This book describes the concepts and techniques to incorporate similarity into database systems. We start out by discussing the properties of strings and trees, and identify the edit distance as the de facto standard for comparing complex objects. Since the edit distance is computationally expensive, token-based distances have been introduced to speed up edit distance computations. The basic idea is to decompose complex objects into sets of tokens that can be compared efficiently. Token-based distances are used to compute an approximation of the edit distance and prune expensive edit distance calculations. A key observation when computing similarity joins is that many of the object pairs, for which the similarity is computed, are very different from each other. Filters exploit this property to improve the performance of similarity joins. A filter preprocesses the input data sets and produces a set of candidate pairs. The distance function is evaluated on the cand |
| 出版日期 | Book 2014 |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-031-01851-0 |
| isbn_softcover | 978-3-031-00723-1 |
| isbn_ebook | 978-3-031-01851-0Series ISSN 2153-5418 Series E-ISSN 2153-5426 |
| issn_series | 2153-5418 |
| copyright | Springer Nature Switzerland AG 2014 |
发表于 2025-3-21 17:28:42
