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AnHai Doan

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

◀ ▶ joint publications with Derek Paulsen

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Publications

2023
[j46]
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  - journals/pvldb/PaulsenGD23
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  - https://dblp.org/rec/journals/pvldb/PaulsenGD23
Derek Paulsen, Yash Govind, AnHai Doan:
Sparkly: A Simple yet Surprisingly Strong TF/IDF Blocker for Entity Matching. Proc. VLDB Endow. 16(6): 1507-1519 (2023)
2022
[c72]
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  - conf/bigdataconf/ArdalanPSCD22
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Adel Ardalan, Derek Paulsen, Amanpreet Singh Saini, Walter Cai, AnHai Doan:
Toward Data Cleaning with a Target Accuracy: A Case Study for Value Normalization. IEEE Big Data 2022: 3975-3981
2021
[j42]
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  - journals/pvldb/Thirumuruganathan21
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Saravanan Thirumuruganathan, Han Li, Nan Tang, Mourad Ouzzani, Yash Govind, Derek Paulsen, Glenn Fung, AnHai Doan:
Deep Learning for Blocking in Entity Matching: A Design Space Exploration. Proc. VLDB Endow. 14(11): 2459-2472 (2021)
[i9]
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  - electronic edition @ arxiv.org (open access)
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  - journals/corr/abs-2101-05308
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Adel Ardalan, Derek Paulsen, Amanpreet Singh Saini, Walter Cai, AnHai Doan:
Toward Data Cleaning with a Target Accuracy: A Case Study for Value Normalization. CoRR abs/2101.05308 (2021)
2020
[j41]
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  - journals/cacm/DoanKCGPCMC20
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AnHai Doan, Pradap Konda, Paul Suganthan G. C., Yash Govind, Derek Paulsen, Kaushik Chandrasekhar, Philip Martinkus, Matthew Christie:
Magellan: toward building ecosystems of entity matching solutions. Commun. ACM 63(8): 83-91 (2020)
2019
[c67]
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  - conf/sigmod/GovindKCMNLSMBZ19
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Yash Govind, Pradap Konda, Paul Suganthan G. C., Philip Martinkus, Palaniappan Nagarajan, Han Li, Aravind Soundararajan, Sidharth Mudgal, Jeffrey R. Ballard, Haojun Zhang, Adel Ardalan, Sanjib Das, Derek Paulsen, Amanpreet Singh Saini, Erik Paulson, Youngchoon Park, Marshall Carter, Mingju Sun, Glenn Moo Fung, AnHai Doan:
Entity Matching Meets Data Science: A Progress Report from the Magellan Project. SIGMOD Conference 2019: 389-403

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