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Dong Deng

6 papers hereh-index 293.3k citations109 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author1
  • first author2
  • middle author3

Across the 6 of 6 papers where every author was matched, so the position is known.

fields
  • cs.DB6
same name
  • Dong Deng — 3 papers, h 2
  • Dong Deng — 2 papers, h 3
  • Dong Deng — 1 paper

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20112019
most citedPASS-JOIN: A Partition-based Method for Similarity Joins

22 citations · 27 across the 5 of their papers we have counts for

collaborators
Showing 2017 · cs.DBShow all

4 papers · 2 filters

cs.DB2017

Error-Tolerant Big Data Processing

Dong Deng

Real-world data contains various kinds of errors. Before analyzing data, one usually needs to process the raw data. However, traditional data processing based on exactly match ofte…

cs.DB2017★ 3 cited

Unsupervised String Transformation Learning for Entity Consolidation

Dong Deng, Wenbo Tao, Ziawasch Abedjan +7

Data integration has been a long-standing challenge in data management with many applications. A key step in data integration is entity consolidation. It takes a collection of clus…

cs.DB2017

SilkMoth: An Efficient Method for Finding Related Sets with Maximum Matching Constraints

Dong Deng, Albert Kim, Samuel Madden +1

Determining if two sets are related - that is, if they have similar values or if one set contains the other - is an important problem with many applications in data cleaning, data…

cs.DB2017★ 1 cited

A Technical Report: Entity Extraction using Both Character-based and Token-based Similarity

Zeyi Wen, Dong Deng, Rui Zhang +1

Entity extraction is fundamental to many text mining tasks such as organisation name recognition. A popular approach to entity extraction is based on matching sub-string candidates…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.