即将过时 发表于 2025-3-21 17:01:24

书目名称Probabilistic Ranking Techniques in Relational Databases影响因子(影响力)<br>        http://impactfactor.cn/if/?ISSN=BK0756821<br><br>        <br><br>书目名称Probabilistic Ranking Techniques in Relational Databases影响因子(影响力)学科排名<br>        http://impactfactor.cn/ifr/?ISSN=BK0756821<br><br>        <br><br>书目名称Probabilistic Ranking Techniques in Relational Databases网络公开度<br>        http://impactfactor.cn/at/?ISSN=BK0756821<br><br>        <br><br>书目名称Probabilistic Ranking Techniques in Relational Databases网络公开度学科排名<br>        http://impactfactor.cn/atr/?ISSN=BK0756821<br><br>        <br><br>书目名称Probabilistic Ranking Techniques in Relational Databases被引频次<br>        http://impactfactor.cn/tc/?ISSN=BK0756821<br><br>        <br><br>书目名称Probabilistic Ranking Techniques in Relational Databases被引频次学科排名<br>        http://impactfactor.cn/tcr/?ISSN=BK0756821<br><br>        <br><br>书目名称Probabilistic Ranking Techniques in Relational Databases年度引用<br>        http://impactfactor.cn/ii/?ISSN=BK0756821<br><br>        <br><br>书目名称Probabilistic Ranking Techniques in Relational Databases年度引用学科排名<br>        http://impactfactor.cn/iir/?ISSN=BK0756821<br><br>        <br><br>书目名称Probabilistic Ranking Techniques in Relational Databases读者反馈<br>        http://impactfactor.cn/5y/?ISSN=BK0756821<br><br>        <br><br>书目名称Probabilistic Ranking Techniques in Relational Databases读者反馈学科排名<br>        http://impactfactor.cn/5yr/?ISSN=BK0756821<br><br>        <br><br>

enchant 发表于 2025-3-21 23:00:01

Query Semantics, each world . ∈ . is a valid ranked instance of the database. We denote with . (.) the rank/position of tuple . in .. We elaborate on the ranking requirement of worlds in ., using the example given by Figure 3.1.

Oratory 发表于 2025-3-22 00:43:12

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deviate 发表于 2025-3-22 07:14:00

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pulmonary-edema 发表于 2025-3-22 12:28:41

Conclusion,This lecture compiles and summarizes state-of-the-art techniques supporting ranked retrieval in uncertain and probabilistic databases. The lecture discusses the interplay between ranking and un-certainty models, and it describes several proposed mechanisms to compute ranking queries under different types ofdata uncertainty.

Absenteeism 发表于 2025-3-22 14:29:56

978-3-031-00718-7Springer Nature Switzerland AG 2011

embolus 发表于 2025-3-22 17:07:51

Probabilistic Ranking Techniques in Relational Databases978-3-031-01846-6Series ISSN 2153-5418 Series E-ISSN 2153-5426

Budget 发表于 2025-3-22 23:48:11

Introduction,s top-. queries) is to report the top ranked query results, based on scores computed by a given scoring function (e.g., a function defined on one or more database columns). A scoring function induces a unique total order on query results, where score ties are usually resolved using a deterministic tie-breaking criterion.

油毡 发表于 2025-3-23 05:16:36

Methodologies,n with the methods that build on branch-and-bound search in Section 4.1. We then discuss Monte-Carlo simulation methods in Section 4.2.We give the details of a number of dynamic programming techniques in Section 4.3. We finally describe other methods that build on special properties of probabilistic ranking queries in Section 4.4.

假设 发表于 2025-3-23 07:13:46

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查看完整版本: Titlebook: Probabilistic Ranking Techniques in Relational Databases; Ihab F. Ilyas,Mohamed A. Soliman Book 2011 Springer Nature Switzerland AG 2011