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Tim Dawborn

dblp:98/5180 · DBLP profile ↗
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5ranked-venue papers
1as first author
0since 2021 · last 2020
0009-0006-7761-5750ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 2 · 1 first-authorDatabases, data management, data science and information retrieval · 2Applied, interdisciplinary, general and emerging computing · 1

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.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Computing education · 100%
Databases, data mining, and information retrieval
2 papers
Query processing and optimization · 72% Web and social media mining · 28%
Computer graphics and multimedia
1 paper
Visualization and visual analytics · 100%
Artificial intelligence
1 paper
Information extraction and text analysis · 100%
Software engineering, system software, and programming languages
1 paper
Compilers and program optimization · 100%

Topics — the 5 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Visualization and visual analytics
visual metaphor
0.212013
WeBeVis: analyzing user web behavior through visual metaphors · Sci. China Inf. Sci. 2013
Query processing and optimization
SQL query processing
0.112020
SQL for Data Scientists: Designing SQL Tutorials for Scalable Online Teaching · Proc. VLDB Endow. 2020
Natural language and speech › Information extraction and text analysis › syntactic parsing
parsing efficiency
0.112010
Faster Parsing by Supertagger Adaptation · ACL 2010
Compilers and program optimization
parsing
0.112010
Faster Parsing by Supertagger Adaptation · ACL 2010
Web and social media mining
user behavior analysis
0.012013
WeBeVis: analyzing user web behavior through visual metaphors · Sci. China Inf. Sci. 2013

Methods — techniques the papers use, named apart from their topics

sandboxed database instances · 0.9auto-graded exercises · 0.9visual analytics · 0.3supertagger adaptation · 0.2domain adaptation · 0.2
YearPublicationVenuePosition
2020 SQL for Data Scientists: Designing SQL Tutorials for Scalable Online Teaching
abstract
The SQL query language is the 'lingua franca' of transactional databases, and is essential for scalable data analytics. Learning SQL requires practical exercises with databases, including those parts of SQL with side-effects such as DDL statements, triggers, and stored procedures. Teaching this effectively to a non-technical audience is a challenge, especially in times of COVID-19 without face-to-face classes. The Grok Learning platform allows to design self-paced online tutorials with auto-graded exercises - but it was originally built for teaching programming languages. In this demo, we show how we extended the Grok platform to teach SQL for Data Scientists with comprehensive online learning. Grok supports a rich user interface with interactive examples where students can explore and experiment with each example query. This is ideal for learning declarative querying. Each query is executed in its own sandbox on a freshly initialised database instance which allows to teach all parts of SQL including DDL statements, stored procedures, triggers and UDFs. At the same time, the platform scales to thousands of concurrent users, while maintaining interactive response times.
Uwe Röhm, Lexi Brent, Tim Dawborn, Bryn Jeffries
Proc. VLDB Endow.3
2014 docrep: A lightweight and efficient document representation framework
Tim Dawborn, James R. Curran
COLING1
2013 WeBeVis: analyzing user web behavior through visual metaphors
Weidong Huang 0001, Raymes Khoury, Tim Dawborn, Bohan Huang, Mao Lin Huang, Xiaodi Huang 0001
Sci. China Inf. Sci.3
2010 Faster Parsing by Supertagger Adaptation
Jonathan K. Kummerfeld, Jessika Roesner, Tim Dawborn, James Haggerty, James R. Curran, Stephen Clark
ACL3
2010 Corona: Energy-Efficient Multi-query Processing in Wireless Sensor Networks
Raymes Khoury, Tim Dawborn, Bulat Gafurov, Glen Pink, Edmund Tse, Quincy Tse, Khaled Almiani, Mohamed Medhat Gaber, Uwe Röhm, Bernhard Scholz
DASFAA (2)2