Demo Data from EDBT 2026 / reviewers in the wild / expert
Wouter B. Teeuw
dblp:33/2694
· DBLP profile ↗
5ranked-venue papers
4as first author
0since 2021 · last 2012
0000-0002-1909-9763ORCID · verified
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 3 · 2 first-authorDatabases, data management, data science and information retrieval · 2 · 2 first-authorSystems, architecture and hardware · 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
2 papers |
Indexing and storage engines · 67% Query processing and optimization · 33% | |
| Computer architecture, parallel and distributed computing, and storage systems
2 papers |
Performance modeling and evaluation · 67% Parallel and multicore computing · 33% |
Topics — the 6 heaviest of 6, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Indexing and storage engines › storage model
complex object storage |
0.0 | 1 | 1993 | An Evaluation of Physical Disk I/Os for Complex Object Processing · ICDE 1993 |
Query processing and optimization
parallel query processing |
0.0 | 1 | 1993 | Control Versus Data Flow in Parallel Database Machines · IEEE Trans. Parallel Distributed Syst. 1993 |
Indexing and storage engines › storage management
storage structures |
0.0 | 1 | 1993 | An Evaluation of Physical Disk I/Os for Complex Object Processing · ICDE 1993 |
Performance modeling and evaluation
benchmarking |
0.0 | 1 | 1993 | An Evaluation of Physical Disk I/Os for Complex Object Processing · ICDE 1993 |
Parallel and multicore computing › parallel query processing
parallel database machine |
0.0 | 1 | 1993 | Control Versus Data Flow in Parallel Database Machines · IEEE Trans. Parallel Distributed Syst. 1993 |
Performance modeling and evaluation › benchmarking
storage benchmarking |
0.0 | 1 | 1993 | An Evaluation of Physical Disk I/Os for Complex Object Processing · ICDE 1993 |
Methods — techniques the papers use, named apart from their topics
cost model · 0.0benchmark · 0.0analytical modeling · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2012 | Persona-Based Adaptation in a Smart Green HomeabstractIn this paper we present the vision of the Go Green project on a smart home that is capable of decreasing energy consumption while at the same time increasing user comfort. To identify the main challenges we introduce a general model for intelligent homes that describes the current state, the target state and the transition. A key point in the project's vision is the concept of personas and entities to model groups of individuals and their preferences. A second key point is the strategy of coaching the users towards the global system goals by adapting the environment. Etto L. Salomons, Wouter B. Teeuw, Henk van Leeuwen, Paul J. M. Havinga |
Intelligent Environments | 2 |
| 1993 | An Evaluation of Physical Disk I/Os for Complex Object ProcessingabstractIn order to obtain the performance required for nonstandard database environments, a hierarchical complex object model with object references is used as a storage structure for complex objects. Several storage models for these complex objects, as well as a benchmark to evaluate their performance, are described. A cost model for analytical performance evaluation is developed, and the analytical results are validated by means of measurements on the DASDBS, complex object storage system. The results show which storage structures for complex objects are the most efficient under which circumstances.> Wouter B. Teeuw, Christian Rich, Marc H. Scholl, Henk M. Blanken |
ICDE | 1 |
| 1993 | Control Versus Data Flow in Parallel Database MachinesabstractThe execution of a query in a parallel database machine can be controlled in either a control flow way, or in a data flow way. In the former case a single system node controls the entire query execution. In the latter case the processes that execute the query, although possibly running on different nodes of the system, trigger each other. Lately, many database research projects focus on data flow control since it should enhance response times and throughput. The authors study control versus data flow with regard to controlling the execution of database queries. An analytical model is used to compare control and data flow in order to gain insights into the question which mechanism is better under which circumstances. Also, some systems using data flow techniques are described, and the authors investigate to which degree they are really data flow. The results show that for particular types of queries data flow is very attractive, since it reduces the number of control messages and balances these messages over the nodes.> Wouter B. Teeuw, Henk M. Blanken |
IEEE Trans. Parallel Distributed Syst. | 1 |
| 1992 | Joining distributed complex objects: Definition and performance
Wouter B. Teeuw, Henk M. Blanken |
Data Knowl. Eng. | 1 |
| 1990 | An algorithm for benchmarking an SIMD pyramid with the Abingdon Cross
Wouter B. Teeuw, Robert P. W. Duin |
Pattern Recognit. Lett. | 1 |