Entity matching on the DBLP-ACM dataset
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Updated
Jan 10, 2023 - Python
Entity resolution (also known as data matching, data linkage, record linkage, and many other terms) is the task of finding entities in a dataset that refer to the same entity across different data sources (e.g., data files, books, websites, and databases). Entity resolution is necessary when joining different data sets based on entities that may or may not share a common identifier (e.g., database key, URI, National identification number), which may be due to differences in record shape, storage location, or curator style or preference.
Entity matching on the DBLP-ACM dataset
Course project for CS839 Spring18 at UW-Madison
Scalable record-level matching rules
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4 stage data science project
Submissions for Data Science: Principles, Algorithms, and Applications (CS839) @ UW-Madison
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utilities for working with Entity Resolution models
This repository is a supplement resource for a research article entitled "Deep Learning Untuk Entity Matching Produk Kamera Antar Online Store Menggunakan DeepMatcher"
Submission Repository for Data Science Class Project
Master's Degree Final Project using Python & NLP
An open-source compound AI toolchain for fast and accurate entity matching, powered by LLMs.
Created by Halbert L. Dunn
Released 1946