Repository for CS 838 (Spring 2017) Data Science project
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Updated
Apr 1, 2017 - Jupyter Notebook
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.
Repository for CS 838 (Spring 2017) Data Science project
Undergraduate Final Project (needs README up to date!!) - Scientific paper soon to be included
Service for automatic matching two data sets without mapping
Crawl, matching and explore data about jobs in Viet Nam.
A Single View application aggregates and reconciles data from multiple sources to create a single view of an entity.
Record linking package that fuzzy matches two Python pandas dataframes using sqlite3 fts4
WInte.r is a Java framework for end-to-end data integration. The WInte.r framework implements well-known methods for data pre-processing, schema matching, identity resolution, data fusion, and result evaluation.
PyTorch library for transforming entities like companies, products, etc. into vectors to support scalable Record Linkage / Entity Resolution using Approximate Nearest Neighbors.
A maximum-strength name parser for record linkage.
Welcome to Snowman App – a Data Matching Benchmark Platform.
A collection of awesome resources regarding Record Linkage.
An extension for ASReview Lab to preprocess the dataset before importing in ASReview
AdapterEM: Pre-trained Language Model Adaptation for Generalized Entity Matching using Adapter-tuning
A browser user interface for manual labeling of record pairs.
ProxCluster is a framework for Incremental Entity Resolution that leverages concepts similar to K-Means for clustering duplicates. This work was developed as the final paper for my Bachelor degree in Computer Science
Weka Comparator to match rules to test data with filtering abilites
A list of free data matching and record linkage software.
A powerful and modular toolkit for record linkage and duplicate detection in Python
Resources for tackling record linkage / deduplication / data matching problems
Created by Halbert L. Dunn
Released 1946