Home
Forms Library
Semantics of Ranking Queries for Probabilistic Data and

Semantics of Ranking Queries for Probabilistic Data and 2025

Semantics of Ranking Queries for Probabilistic Data and Preview on Page 1

See details

4.3 out of 5

58 votes

The document discusses a novel approach to ranking database query results, particularly addressing the Many-Answers Problem where non-selective queries return excessive tuples. The authors adapt probabilistic models from Information Retrieval to create a domain-independent ranking system that utilizes data and workload statistics. Their method involves two scoring factors: a global score reflecting the importance of unspecified attributes and a conditional score capturing correlations between specified and unspecified attributes. The paper presents experimental results demonstrating the efficiency and quality of their ranking system compared to existing methods.

Here's how it works

01. Edit your form online

Type text, add images, blackout confidential details, add comments, highlights and more.

02. Sign it in a few clicks

Draw your signature, type it, upload its image, or use your mobile device as a signature pad.

03. Share your form with others

Send it via email, link, or fax. You can also download it, export it or print it out.

The easiest way to modify Semantics of Ranking Queries for Probabilistic Data and in PDF format online

Ease of Setup

DocHub User Ratings on G2

Ease of Use

DocHub User Ratings on G2

Handling documents with our extensive and user-friendly PDF editor is straightforward. Follow the instructions below to fill out Semantics of Ranking Queries for Probabilistic Data and online easily and quickly:

Log in to your account. Sign up with your email and password or register a free account to try the service prior to choosing the subscription.
Import a document. Drag and drop the file from your device or add it from other services, like Google Drive, OneDrive, Dropbox, or an external link.
Edit Semantics of Ranking Queries for Probabilistic Data and. Quickly add and underline text, insert images, checkmarks, and icons, drop new fillable areas, and rearrange or delete pages from your paperwork.
Get the Semantics of Ranking Queries for Probabilistic Data and accomplished. Download your modified document, export it to the cloud, print it from the editor, or share it with other participants through a Shareable link or as an email attachment.

Benefit from DocHub, the most straightforward editor to promptly manage your documentation online!

Try more PDF tools