Demo Data from VLDB 2026 / reviewers in the wild / expert
Quentin E. Dolecek
dblp:19/9696
· DBLP profile ↗
3ranked-venue papers
2as first author
0since 2021 · last 1991
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Human-computer interaction and ubiquitous computing · 2 · 2 first-authorApplied, 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.
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Performance modeling and evaluation · 100% | |
| Databases, data mining, and information retrieval
1 paper |
Data mining · 100% | |
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Computational science and engineering · 100% |
Topics — the 3 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Performance modeling and evaluation
benchmarking |
0.0 | 1 | 1985 | Signal processing and engineering analysis on personal computers · Proc. IEEE 1985 |
Data mining
clustering |
0.0 | 1 | 1985 | Signal processing and engineering analysis on personal computers · Proc. IEEE 1985 |
Data mining › predictive modeling › classification
pattern classification |
0.0 | 1 | 1985 | Signal processing and engineering analysis on personal computers · Proc. IEEE 1985 |
Methods — techniques the papers use, named apart from their topics
spectral analysis · 0.0multivariate analysis · 0.0FORTRAN-77 · 0.0fortran 77 · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1991 | Multidimensional Real-Time Visualization on Personal ComputersabstractA low-cost, high-performance visualization tool based on the IBM PC is described. Characteristics of scientific and engineering visualization and requirements for real time analysis are discussed. Application programming without coding by use of flowgraphs is also presented.> Quentin E. Dolecek |
IEEE Visualization | 1 |
| 1990 | Personal Visualization System: Applications in Research and EngineeringabstractThe authors describe an innovative personal visualization system and its application to several research and engineering problems. The system bridges both hardware and software components to permit a user to graphically describe a visualization problem to the computer; thereby reducing program development time to a few hours. Low-cost visualization is achieved using PC-based software that can either be executed on a PC or drive graphic workstations for high-resolution displays. In either case, supercomputer computation rates are available for the visualization process. On PCs this is done with one or more PiP plug in cards, each of which is capable of 100 million floating point operations per second. On workstations this is done with the QUEN array processor. Applications mentioned include: ocean wave imaging; characterizing superconductors; and solar sail visualization.> Quentin E. Dolecek, K. Moorjani, B. F. Kim, D. G. Tilley, Thomas S. Denney Jr. |
IEEE Visualization | 1 |
| 1985 | Signal processing and engineering analysis on personal computersabstractInitially, the ability of personal computers to perform signal processing or multivariate analysis was severely limited by small memory address space and lack of scientific language support. Recently, however, this situation has changed, with large memory sizes common and with the availability of mainframe languages such as FORTRAN-77 to support complex and double-precision expressions. Today, personal computers can be applied to data collection, multivariate analysis, pattern classification, simulation of signal processing hardware, and other engineering applications. We discuss the conversion of mainframe data analysis software for personal computers, and the use of high-resolution personal computer graphics for data displays. The process is illustrated with the conversion of part of the IEEE signal processing library and of the ARTHUR81 multivariate analysis routines to run on a personal computer. Timing and accuracy results are given for two personal computers--the TI Professional and the IBM PC AT. The use of a personal computer to validate data, obtain measurement statistics, perform classification and cluster analysis, and perform modern spectral analysis is illustrated with run information and typical output displays. Hugh M. South, Quentin E. Dolecek |
Proc. IEEE | 2 |