Demo Data from EDBT 2026 / reviewers in the wild / expert
Tej Anand
dblp:30/6537
· DBLP profile ↗
4ranked-venue papers
2as first author
0since 2021 · last 1998
—ORCID · none
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 · 2 · 1 first-authorHuman-computer interaction and ubiquitous computing · 1Applied, interdisciplinary, general and emerging computing · 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 |
Data mining · 79% Database system architecture and tuning · 21% | |
| Human-computer interaction and pervasive computing
1 paper |
Design research and methods · 100% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Data mining
knowledge discovery process |
0.0 | 1 | 1998 | Active Templates: Comprehensive Support for the Knowledge Discovery Process · KDD 1998 |
Design research and methods
user-centered design |
0.0 | 1 | 1997 | Evolution of a User Interface Design: NCR's Management Discovery Tool · CHI 1997 |
Methods — techniques the papers use, named apart from their topics
user-centered design process · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1998 | Active Templates: Comprehensive Support for the Knowledge Discovery Process
Randy Kerber, Hal Beck, Tej Anand, Bill Smart |
KDD | 3 |
| 1997 | Evolution of a User Interface Design: NCR's Management Discovery ToolabstractIMany companies are developing large data warehouses to understand their customers and business trends betteu however, tools to analyze these data typicrdly require signiilcant expertise.Because of this, NCR has developed the Management Discovery Tool (MDT) for the typical manager who wants answers to business questions without having to know SQL or database table and column names.We provide an overview of the user-centered design process used to design one part of the MDT (the "Folders View" dialog) and give rationale for design decisions. James F. Knutson, Tej Anand, Richard L. Henneman |
CHI | 2 |
| 1995 | Opportunity Explorer: Navigating Large Databases Using Knowledge Discovery Templates
Tej Anand |
J. Intell. Inf. Syst. | 1 |
| 1992 | Making Sense of Gigabytes: A System for Knowledge-Based Market Analysis
Tej Anand, Gary S. Kahn |
IAAI | 1 |