A Practical and Effective Sampling Selection Strategy for Large Scale Deduplication-Reference-Cited by-同舟云学术

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A Practical and Effective Sampling Selection Strategy for Large Scale Deduplication

Published:2015-09-01 Issue:9 Volume:27 Page:2305-2319
ISSN:1041-4347
Container-title:IEEE Transactions on Knowledge and Data Engineering
language:
Short-container-title:IEEE Trans. Knowl. Data Eng.

Author:

Bianco Guilherme Dal,Galante Renata,Goncalves Marcos Andre,Canuto Sergio,Heuser Carlos A.

Funder

INWeb

CAPES

CNPq

PRH Petrobras-217

FAPEMIG

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Theory and Mathematics,Computer Science Applications,Information Systems

Link

http://xplorestaging.ieee.org/ielx7/69/7177178/07070725.pdf?arnumber=7070725

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3. Dataset Similarity Detection for Global Deduplication in the DD File System;2023 IEEE 39th International Conference on Data Engineering (ICDE);2023-04

4. Reducing the user labeling effort in effective high recall tasks by fine-tuning active learning;Journal of Intelligent Information Systems;2023-01-19

5. An Improved Active Machine Learning Query Strategy for Entity Matching Problem;Lecture Notes in Networks and Systems;2023

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