Demo Data from EDBT 2026 / reviewers in the wild / expert
Ben Kimmett
dblp:146/0430
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2015
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Databases, data management, data science and information retrieval · 1 · 1 first-author
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Databases, data mining, and information retrieval
1 paper |
Query processing and optimization · 67% Distributed and cloud data management · 33% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Query processing and optimization › similarity join
fuzzy join |
0.2 | 1 | 2015 | Fuzzy Joins in MapReduce: An Experimental Study · Proc. VLDB Endow. 2015 |
Query processing and optimization
join processing |
0.2 | 1 | 2015 | Fuzzy Joins in MapReduce: An Experimental Study · Proc. VLDB Endow. 2015 |
Distributed and cloud data management
mapreduce |
0.2 | 1 | 2015 | Fuzzy Joins in MapReduce: An Experimental Study · Proc. VLDB Endow. 2015 |
Methods — techniques the papers use, named apart from their topics
experimental evaluation · 0.2communication cost analysis · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2015 | Fuzzy Joins in MapReduce: An Experimental StudyabstractWe report experimental results for the MapReduce algorithms proposed by Afrati, Das Sarma, Menestrina, Parameswaran and Ullman in ICDE'12 to compute fuzzy joins of binary strings using Hamming Distance. Their algorithms come with complete theoretical analysis, however, no experimental evaluation is provided. They argue that there is a tradeoff between communication cost and processing cost, and that there is a skyline of the proposed algorithms; i.e. none dominates another. We observe via experiments that, from a practical point of view, some algorithms are almost always preferable to others. We provide detailed experimental results and insights that show the different facets of each algorithm. Ben Kimmett, S. Venkatesh 0001, Alex Thomo |
Proc. VLDB Endow. | 1 |