QDA: A Query-Driven Approach to Entity Resolution

Copyright (c) 2020 JP INFOTECH BLOGGER | JP INFOTECH | All Rights Reseved. JP INFOTECH is no way associated or affiliated with IEEE. Both are separate and independent organisations. IEEE papers can be accessed through the IEEE official websites. All papers listed in JP INFOTECH are citied with the exact author, publisher details and we don't claim any copyright on it. It's only for Students / Researchers educational purpose only

Created By eaadhar | Distributed By Blogger Themes

Follow us on Facebook

QDA: A Query-Driven Approach to Entity Resolution

Contact Form

Facebook

Subscribe Us

Popular Posts

Hop-by-Hop Routing in Wireless Mesh Networks with Bandwidth Guarantees

A Fast Clustering-Based Feature Subset Selection Algorithm for High-Dimensional Data

Protecting Location Privacy in Sensor Networks against a Global Eavesdropper

Python IEEE Projects 2021 - 2022

Categories

Tags

Ads

Follow us on Facebook

QDA: A Query-Driven Approach to Entity Resolution

You may like these posts

Social Plugin

Contact Form

Facebook

Subscribe Us

Popular Posts

Hop-by-Hop Routing in Wireless Mesh Networks with Bandwidth Guarantees

A Fast Clustering-Based Feature Subset Selection Algorithm for High-Dimensional Data

Protecting Location Privacy in Sensor Networks against a Global Eavesdropper

Python IEEE Projects 2021 - 2022

Categories

Tags

Ads